JP2021064226A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To effectively guide a user to a transaction object whose purchase motivation can be further increased.SOLUTION: An information processing device comprises a storage unit in which information on a transaction object is registered in advance per transaction object, an extraction unit, and a presentation unit. The extraction unit extracts first information which is information indicating a prescribed transaction object and second information which is information indicating other transaction objects having a prescribed relation with the prescribed transaction object among information stored in the storage unit. The presentation unit presents content in which the first information and the second information extracted by the extraction unit are displayed.SELECTED DRAWING: Figure 6

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, with the rapid spread of the Internet, sales via the Internet have become popular. For example, in an electronic commerce service, a technology is provided in which each store sells products and sells the sold products to users. There is. Further, in the electronic commerce service, a technique for displaying a product similar to the product being viewed by the user is provided.

Japanese Patent No. 5096411

However, the above-mentioned prior art cannot always effectively guide the user to a transaction target that can further increase the purchase motivation. For example, in the above-mentioned prior art, when a search request is received from a user, the product selected or purchased by the user within a predetermined time from the current search is displayed together with the search result corresponding to the search request. As described above, in the above-mentioned prior art, for example, since the product viewed by the user (or the product related to this product) is only presented a while ago, the user's willingness to purchase can be necessarily increased. Is not always.

The present application is made in view of the above, and provides an information processing device, an information processing method, and an information processing program that can effectively guide a user to a transaction target that can further enhance the purchase motivation. The purpose is.

The information processing apparatus according to the present application is a storage unit in which information about the transaction target is registered in advance for each transaction target, and first information which is information indicating a predetermined transaction target among the information stored in the storage unit. And the extraction unit that extracts the second information that is information indicating other transaction targets that have a predetermined relationship with the predetermined transaction target, and the first information and the second information extracted by the extraction unit are displayed. It is characterized by having a presentation unit for presenting the content to be processed.

According to one aspect of the embodiment, there is an effect that the user can be effectively guided to a transaction target that can further increase the purchase motivation.

FIG. 1 is a diagram showing an overall flow of information processing according to an embodiment. FIG. 2 is a diagram showing an example of a detail page (in the case of a sibling relationship) according to the embodiment. FIG. 3 is a diagram showing an example of a detail page (in the case of a parent-child relationship) according to the embodiment. FIG. 4 is a diagram showing an example of a detail page (in the case of a similar relationship) according to the embodiment. FIG. 5 is a diagram showing a configuration example of the information processing system according to the embodiment. FIG. 6 is a diagram showing a configuration example of the information processing device according to the embodiment. FIG. 7 is a diagram showing an example of the product information storage unit according to the embodiment. FIG. 8 is a flowchart showing an information processing procedure according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer 1000 that realizes the functions of the information processing device 100.

Hereinafter, an information processing apparatus, an information processing method, and a mode for carrying out an information processing program (hereinafter, referred to as “the embodiment”) according to the present application will be described with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited by this embodiment. Further, in the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

[1. Information processing overview]
An example of information processing according to the embodiment will be described with reference to FIGS. 1 to 4. Specifically, FIG. 1 describes the overall flow of information processing according to the embodiment. FIG. 2 describes the first information processing among the information processing according to the embodiment. FIG. 3 describes the second information processing among the information processing according to the embodiment. FIG. 4 describes the third information processing among the information processing according to the embodiment. Further, the information processing according to the embodiment is performed by the information processing device 100 shown in FIG.

Further, the first information processing according to the embodiment is a series of information processing for presenting a predetermined transaction target and another transaction target having a sibling relationship with the predetermined transaction target. The second information processing according to the embodiment is a series of information processing for presenting a predetermined transaction target and another transaction target having a parent-child relationship with the predetermined transaction target. Further, the third information processing according to the embodiment is a series of information processing for presenting a predetermined transaction target and another transaction target having a similar relationship with the predetermined transaction target.

Here, prior to the description of FIGS. 1 to 4, the information processing system according to the embodiment will be described first with reference to FIG. FIG. 5 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 5, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are connected to each other via a network N so as to be communicable by wire or wirelessly.

The terminal device 10 is an information processing terminal used by a user (end user). The terminal device 10 is, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. Further, for example, the terminal device 10 displays various contents corresponding to the electronic commerce service operated by the business operator of the information processing device 100 (referred to as "business operator T") by accessing the information processing device 100. Display in. In the present embodiment, the service name (and site name) of the electronic commerce service (shopping service) operated by the business operator T is set to "B mall". In addition, in "B Mall", products exhibited by various stores are centrally managed and sold to users. Therefore, a sales form such as "B mall" may be called an electronic shopping street, an electronic mall, or the like.

Next, the premise for performing information processing according to the embodiment will be described. Currently, shopping services are provided by various businesses, and in such shopping services, for example, product information of a product selected by a user and product information of a similar product for this product may be presented in a list. However, in such a shopping service, what kind of product is to be a similar product for the selected product and what kind of content is to be the content of the product information of the similar product is manually determined in advance. .. That is, the list content in which the product information of similar products is displayed in a list is manually generated in advance. Therefore, in such a shopping service, products that are not related to the selected product are often presented as similar products, and it is possible to effectively guide the user to a product that can further increase the purchase motivation. It's hard to say.

Therefore, in the present embodiment, on the premise of such a problem, the product selected by the user is selected by appropriately referring to the storage unit in which the information (for example, spec information, etc.) about each product exhibited in the B mall is registered. In contrast, it dynamically determines other products that have a specific relationship. As a result, according to the information processing according to the embodiment, for example, another product having a specific relationship with the product selected by the user can be extracted with high accuracy and presented. , It is thought that it will be possible to effectively guide users to products that can further increase their willingness to purchase.

To summarize the above contents, the information processing device 100 according to the embodiment has a storage unit in which information about the transaction target is registered in advance for each transaction target. Then, the information processing apparatus 100 selects the first information, which is information indicating a predetermined transaction target, and other transaction targets having a predetermined relationship with the predetermined transaction target among the information stored in the storage unit. The second information, which is the information to be shown, is extracted, and the extracted first information and the content in which the second information is displayed are presented. Specifically, the information processing apparatus 100 compares the information related to the predetermined transaction target with the information related to the transaction target other than the predetermined transaction target among the information stored in the storage unit, thereby performing a predetermined transaction. The second information indicating another transaction target presumed to have a predetermined relationship with the target is extracted. Further, for example, the information processing apparatus 100 has a predetermined relationship with the first information indicating the transaction target corresponding to the search result selected by the user among the search results as the predetermined transaction target. The second information indicating the transaction target of is extracted.

[2. An example of information processing according to an embodiment]
In the following, an example of information processing according to the embodiment will be described with reference to the drawings. Specifically, the storage unit of the information processing apparatus 100 according to the embodiment, the first information processing, the second information processing, and the third information processing according to the embodiment will be individually described. ..

[2-1. An example of a storage unit according to an embodiment]
First, the product information storage unit 121, which is a storage unit included in the information processing device 100 according to the embodiment, will be described. FIG. 7 is a diagram showing an example of the product information storage unit 121 according to the embodiment. The product information storage unit 121 stores information about each product (exhibited product) exhibited in the B mall. In addition, the product referred to here is an example of a transaction target. In the example of FIG. 7, the product information storage unit 121 has "category", "manufacturer", "name (brand information + series information)", "appearance (color, design)", "model number", "model information", It has items such as "use size", "capacity", "sales conditions", "release date", "spec information", and "product code".

The "category" indicates the category to which the corresponding product (for example, the product identified by the corresponding "product code") belongs. "Manufacturer" indicates the manufacturer of the corresponding product. The "name" indicates the name of the corresponding product, and is composed of, for example, a combination of brand information indicating the brand name and series information indicating the series name. In addition, a unique character string (for example, a combination of alphanumeric characters) indicating the brand name may be used for the brand information. Similarly, a unique character string (for example, a combination of alphanumeric characters) indicating a brand name may be used for the series information. Also, brand information and series information are determined, for example, by the corresponding "manufacturer".

The "appearance" is information indicating the appearance of the corresponding product. Examples of the information indicating the appearance include color information indicating the color of the corresponding product and design information indicating the design (for example, a pattern) of the corresponding product. Further, as the color information, a unique character string indicating the color (for example, a combination of alphanumeric characters) may be used. Similarly, a unique character string (for example, a combination of alphanumeric characters) indicating the design may be used for the design information. In the example of the product information storage unit 121 shown in FIG. 7, information indicating "appearance" is not registered in the product belonging to the category "cosmetics / beauty-related". This is because, for example, a lotion can be considered as a product belonging to the category "cosmetics / beauty-related", but the appearance of the lotion (for example, the appearance of a container) is not important to the user.

The "model number" indicates the model number of the corresponding product, and can be interpreted as, for example, a product number uniquely determined by the "manufacturer". In the example of the product information storage unit 121 shown in FIG. 7, the "model number" is not registered for the products belonging to the category "cosmetics / beauty-related". This is because, for example, a product belonging to the category "cosmetics / beauty-related" does not have a "model number" in the first place. Of course, even if the product belongs to the category "cosmetics / beauty-related", the "model number" may be registered for the product having the "model number".

The "model information" is information indicating a model (for example, a model) of the corresponding product. For the model information, the name of the model or a unique character string (for example, a combination of alphanumeric characters) indicating the name of the model may be used. In the above example, it has been explained that the "name" is composed of a combination of brand information and series information, but the "name" may be further composed of a combination of model information. In the example of the product information storage unit 121 shown in FIG. 7, "model information" is not registered in the product belonging to the category "cosmetics / beauty-related". This is because, for example, products belonging to the category "cosmetics / beauty-related" do not have "model information" in the first place. Of course, even if the product belongs to the category "cosmetics / beauty-related", the "model information" may be registered if the "model information" exists.

The "use size" indicates the size for the user's use in the corresponding product. For example, if the corresponding product belongs to the category "fashion" and is particularly clothing, the "use size" is the size of the clothing (for example, S size, M size, L size, etc.). Further, for example, if the corresponding product belongs to the category "fashion" and is particularly a shoe, the "use size" is the size of the shoe (for example, 26.0 cm, 26.5 cm, etc.). .. Further, for this reason, in the example of the product information storage unit 121 shown in FIG. 7, the "use size" is registered for the product belonging to the category "fashion", but the category "home appliances" or the category "Use size" is not registered for products belonging to "cosmetics / beauty related".

"Capacity" indicates the content of the corresponding product. For example, if the corresponding product belongs to the category "cosmetics / beauty-related", especially a liquid product such as lotion, the "capacity" is referred to as the content of the product (for example, 20 ml / 1 bottle). It will be. Further, for this reason, in the example of the product information storage unit 121 shown in FIG. 7, "capacity" is registered for the product belonging to the category "cosmetics / beauty-related", but the category "home appliances" or , "Capacity" is not registered for products belonging to the category "Fashion".

"Sales conditions" indicate the sales conditions when the corresponding product is sold. For example, if the corresponding product is to be sold in multiple sets such as "N-piece set", the "sales condition" indicates whether or not the set is sold such as "N-piece set". is there. Further, for this reason, in the example of the product information storage unit 121 shown in FIG. 7, "sales conditions" are registered for the products belonging to the category "cosmetics / beauty-related", but the category "home appliances", Alternatively, "sales conditions" are not registered for products belonging to the category "fashion". Of course, some home appliances and fashion products are sold as a set (for example, a set of 2 stands, a set of 3 T-shirts, etc.), so products that belong to the category "home appliances" or the category "fashion". "Sales conditions" may also be registered.

"Release date" indicates the release date when the corresponding product was released. "Spec information" is information indicating the specifications (functions) of the corresponding product. For this reason, in the example of the product information storage unit 121 shown in FIG. 7, "spec information" is registered for the products belonging to the category "home appliances", but the category "fashion" and the category "cosmetology" are registered. -"Specification information" is not registered for products that belong to "Beauty-related". For example, some fashion products place importance on information that can be understood as specifications such as "waterproofness" and "windproofness", so even products that belong to "fashion" also have "spec information". May be registered.

The "product code" indicates identification information that can uniquely identify the corresponding product. Further, the "product code" may include, for example, information indicating "name", "appearance" (particularly, color information), "model number", and "model information", respectively.

That is, in the example of FIG. 7, the product identified by the product code "CD111-1" is a product belonging to the category "home appliances", and has the name "NM111", the appearance "CL111-1", and the model number "NO111-1". -Shows an example of a product of model information "MD111-1". Further, in the example of FIG. 7, such a product shows an example in which the release date is "RDA111-1" and the spec information is "SP111-1".

[2-2. An example of the first information processing]
[2-2-1. An example of the first information processing (sibling relationship-difference in attributes)]
Up to this point, an example of the product information storage unit 121, which is a storage unit of the information processing device 100, has been described. From here, an example of the first information processing among the information processing according to the embodiment will be described. The first information processing according to the embodiment is a series of information processing for presenting a predetermined product and another transaction target having a sibling relationship with the predetermined product. More specifically, the first information processing according to the embodiment is a product that can be defined as the same product as the predetermined product by having a predetermined common item as compared with the predetermined product, while "attribute information". Is a series of information processing for presenting a product that is presumed to have a sibling relationship with a predetermined product.

Then, from such a thing, the information processing apparatus 100 according to the embodiment extracts the first information indicating a predetermined product as the first information processing (difference in attributes), and compares it with the predetermined product. Second information indicating other transaction targets that are presumed to have a predetermined common item but have different relationships (that is, sibling relationships) in the attribute information is extracted, and the first information and the second information are displayed. Information processing is performed by presenting the contents. For example, the information processing apparatus 100 has a predetermined common item as compared with a predetermined product, while the attribute information includes "appearance", "model number", "model information", "use size", or transaction. Second information indicating other products that are presumed to have a different relationship with at least one of the "capacities" in the target unit is extracted.

Further, an example of such first information processing will be described with reference to FIG. Further, in such an example, the predetermined product is a product indicating the search result selected by the user among the search results for which the product is searched in the B mall. Further, in the following, such a product may be referred to as a “product to be processed”. Further, the information (predetermined common item) for defining the same product as the product to be processed is a combination of the "category", "name" and "model number" explained in the product information storage unit 121. It should be noted that it may be arbitrary which item matches which item is defined as the same product as the product to be processed as compared with the product to be processed. For example, instead of the combination of "category", "name" and "model number", the product having the same combination of "manufacturer", "name" and "model number" may be defined as the same product as the product to be processed. When the "category" is a hierarchical category, the target category here is the terminal, that is, the finest category. For example, when the product to be processed belongs to a hierarchical category such as "home appliances-> home appliances-> TV-> flat-panel TV", the finest-grained category "flat-panel TV" is targeted.

Further, in the example of FIG. 1, the information processing apparatus 100 is compared with the product to be processed among the attribute information "appearance", "model number", "model information", "use size", and "capacity". It is assumed that products having different relationships (that is, sibling relationships) in "model information" are estimated. In addition, regardless of whether the attribute information is "appearance", "model number", or "use size", there is no difference in the processing content itself, only the comparison is changed.

In the example of FIG. 1, when the user U1 uses the terminal device 10 to access the B mall and then searches for a product, the terminal device 10 displays the search result page REP1 in which a list of search results is displayed. doing. On the search result page REP1, products belonging to the category "home appliances (television)" are displayed in a list. In the present embodiment, the information processing apparatus 100 also performs a search process for searching for a product for a search query input in the B mall.

Then, in such a state, it is assumed that the user U1 selects a search result indicating the product "flat-panel TV NMX1" (hereinafter, abbreviated as "product NMX1"). That is, in the example of FIG. 1, the product NMX1 is a product to be processed (an example of a predetermined product). Then, in such a case, the terminal device 10 transmits a distribution request of the detail page showing the detailed information of the product NMX 1 to the information processing device 100. In the example of FIG. 1, the delivery request includes the product information IXF1 indicating the product NMX1. Further, in the example of FIG. 1, the product information IXF1 includes the category "home appliances (television)" to which the product NMX1 belongs, the product code "CDX1" for identifying the product NMX1, and the information "NMX1" indicating the name of the product NMX1. ing. The information "NMX1" indicating the name of the product NMX1 is composed of brand information and series information corresponding to the product NMX1.

Then, the information processing device 100 receives a distribution request including such product information IXF1 from the terminal device 10 (step S11). Then, the information processing device 100 refers to the product information storage unit 121, and acquires the product information corresponding to the product information included in the distribution request, which is the product information related to the product to be processed (step S12). In the example of FIG. 1, the information processing apparatus 100 refers to the product information storage unit 121 and acquires the product information corresponding to the product information IXF1 of the product NMX1. Here, it is assumed that the information processing apparatus 100 acquires the product information IXF1-1 from the product information storage unit 121 as the product information corresponding to the product information IXF1. Then, in the product information IXF1-1, as shown in FIG. 1, in addition to the product information IXF1, the appearance information "CLX1-1", the model number "NOX1-1", the model information "MDX1-1", and the release date information "RDA1-1" and spec information "SPX1-1" are included.

Next, the information processing apparatus 100 determines the relationship of the processing target (step S13). Specifically, the information processing apparatus 100 determines the relationship between the products to be processed and the product to be processed. In the example of FIG. 1, the information processing apparatus 100 determines the relationship between the processing target and what kind of relationship the product has with the product NMX1. Candidate relationships that can be processing target relationships include sibling relationships, parent-child relationships (described later), similar relationships (described later), and the like. Here, the information processing apparatus 100 has sibling relationships (described later) as processing target relationships. It is assumed that the attribute difference) has been decided. That is, it has been decided that the information processing device 100 is a product that can be defined as the same product as compared with the product NMX1, but performs a process of estimating a product having a sibling relationship due to the difference in the attribute information "model information". It shall be.

Next, the information processing apparatus 100 compares the product information related to the product to be processed with the product information related to the candidate product to select the product in the "relationship between the processing target" and the product to be processed among the candidate products. Estimate (step S14). The “relationship of processing targets” here is determined in step S13. Further, the candidate product is a product that belongs to the same category as the product to be processed among the products registered in the product information storage unit 121. Therefore, in the example of FIG. 1, the information processing device 100 is a candidate product belonging to the category "home appliances (television)" among the product information IXF1-1 of the product NMX1 and the products registered in the product information storage unit 121. Compare with the product information of. Then, based on this comparison, the information processing apparatus 100 estimates a product that is the same product as the product NMX1 but has a sibling relationship due to a difference in model information among the candidate products.

For example, the information processing apparatus 100 compares the combination of the product NMX1 name "NMX1" and the model number "NOX1-1" with the combination of the "name" and "model number" of each candidate product, and compares the combination of the product NMX1 name "NMX1" with the product NMX1 name "NMX1". , And a candidate product having a combination matching the combination of the model number “NOX1-1” is defined as the same product as the product NMX1. Further, the information processing apparatus 100 compares the model information "MDX1-1" of the product NMX1 with the model information of each candidate product defined as the same product as the product NMX1, and the model information "MDX1-1" of the product NMX1. Identify candidate products that have model information that does not match. Then, when the information processing apparatus 100 can identify a candidate product having model information that does not match the model information "MDX1-1" of the product NMX1, the model information of the candidate product is different from that of the product NMX1. Therefore, it is presumed that the products have a sibling relationship. In the example of FIG. 1, it is assumed that the information processing apparatus 100 estimates the product X10, the product X11, and the product X12 as products having a sibling relationship due to the difference in model information as compared with the product NMX1. In other words, it is assumed that the information processing apparatus 100 estimates that the product X10, the product X11, and the product X12 have a sibling relationship as compared with the product NMX1.

Next, the information processing apparatus 100 has a first information indicating the product to be processed and a second information indicating the related product estimated to be in the "relationship between the product to be processed and the processing target" (a transaction target and a predetermined value). (Example of second information), which is information indicating other related transaction targets, is extracted from the product information storage unit 121 (step S15). In the example of FIG. 1, the information processing apparatus 100 shows the first information indicating the product NMX1 and the product X10, the product X11, and the product X12, which are related products estimated to have a sibling relationship (attribute difference) with the product NMX1. The second information is extracted from the product information storage unit 121.

In the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the first information IF1-1 as the first information indicating the product NMX1. Further, the first information IF1-1 includes image information indicating the product NMX1, the official name of the product NMX1, model information of the product NMX1 (for example, 50V type), the price of the product NMX1, and other detailed information of the product NMX1. It shall be. The first information IF1-1 can be said to be detailed information regarding the product NMX1.

Further, in the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the second information IF2-1 as the second information indicating each of the product X10, the product X11, and the product X12. Further, the second information IF2-1 includes "model information of product X10 (for example, 40V type), price of product X10, inventory information of product X10", "model information of product X11 (for example, 30V type), product". It is assumed that the price of the product X11, the inventory information of the product X11, and the model information of the product X12 (for example, 20V type), the price of the product X12, and the inventory information of the product X12 are included.

Next, the information processing apparatus 100 generates a detail page showing detailed information about the product to be processed, and a detail page displaying the first information and the second information extracted in step S15 (step S16). , The generated detail page is delivered to the terminal device 10 of the delivery request transmission source (step 17). In the example of FIG. 1, the information processing apparatus 100 generates a detail page DEP21 in which the first information IF1-1 extracted in step S15 is displayed as detailed information about the product NMX1 and the second information IF2-1 is displayed. Suppose you did. In such a case, the information processing device 100 delivers the detail page DEP21 to the terminal device 10 of the user U1.

Here, the detail page DEP21 generated by the information processing apparatus 100 will be described with reference to FIG. FIG. 2 is a diagram showing an example of a detail page (in the case of a sibling relationship) according to the embodiment. According to the example of FIG. 2, on the detail page DEP21, the first information IF1-1 is displayed as detailed information about the product NMX1, and the second information IF2-1 is displayed. Specifically, according to the example of FIG. 2, on the detail page DEP21, the first information IF1-1 is displayed in the upper main and the second information IF2-1 is displayed in the lower margin. Then, on the detail page DEP21, it is clear that the product X10, the product X11, and the product X12 are different models (different models) as compared with the product NMX1. In addition, as long as the first information and the second information can be compared, the first information and the second information may be displayed in any size relationship and any positional relationship on the detail page.

By the way, as described above, in the information processing apparatus 100 according to the embodiment, the first information indicating the product selected by the user and the product selected by the user can be regarded as the same product. Second information indicating other products presumed to have a sibling relationship due to different attribute information (for example, model information) is extracted, and content in which these are displayed together is presented. As a result, the user can easily grasp that the product currently being browsed has, for example, different models, different colors, different designs, different sizes, and the like. Also, for example, when a user wants to purchase the product he / she is currently browsing, but does not like the color, or wants another model if there is another model, information that satisfies this desire is presented. It may increase purchasing motivation. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

[2-2-2. An example of the first information processing (brother relationship-difference in sales conditions)]
In the above example, as the first information processing according to the embodiment, the product can be defined as the same product as the predetermined product by having a predetermined common item as compared with the predetermined product, while the "attribute information" is By being different, we have shown a series of information processing to present a product that is presumed to have a sibling relationship with a given product. However, the first information processing according to the embodiment is a product that can be defined as the same product as the predetermined product by having a predetermined common item as compared with the predetermined product, but the "sales conditions" are different. As a result, there is also a series of information processing for presenting a product that is presumed to have a sibling relationship with a predetermined product. The "sales conditions" referred to here refer to the "sales conditions" described in the example of FIG. 7.

That is, the information processing apparatus 100 according to the embodiment extracts the first information indicating a predetermined product as the first information processing (difference in sales conditions), and compares the predetermined product with a predetermined common item. Extracts second information indicating other transaction targets that are presumed to have different sales conditions (that is, sibling relationships), and presents the first information and the content in which the second information is displayed. Information processing is performed.

Further, an example of such first information processing will be described with reference to FIG. Therefore, the description of the contents common to the first example of information processing (difference in attributes) will be omitted as appropriate. First, steps 11 and S12 have already been described and will be omitted. Then, in step S13, the information processing apparatus 100 determines a sibling relationship (sales condition) as the relationship of the processing target. That is, the information processing device 100 is a product that can be defined as the same product as compared with the product NMX1, but it is determined to perform a process of estimating a product having a sibling relationship due to different "sales conditions". To do.

Further, in step S14, the information processing device 100 uses the product information IXF1-1 of the product NMX1 and the products of the candidate products belonging to the category “home appliances (television)” among the products registered in the product information storage unit 121. Compare with information. Then, based on this comparison, the information processing apparatus 100 estimates a product that is the same product as the product NMX1 but has a sibling relationship due to a difference in sales conditions among the candidate products.

For example, the information processing apparatus 100 compares the combination of the product NMX1 name "NMX1" and the model number "NOX1-1" with the combination of the "name" and "model number" of each candidate product, and compares the combination of the product NMX1 name "NMX1" with the product NMX1 name "NMX1". , And a candidate product having a combination matching the combination of the model number “NOX1-1” is defined as the same product as the product NMX1. Further, the information processing apparatus 100 compares the "sales conditions" of the product NMX1 with the "sales conditions" of each candidate product defined as the same product as the product NMX1 and does not match the "sales conditions" of the product NMX1. Identify candidate products that have "sales conditions". Then, when the information processing apparatus 100 can identify a candidate product having "sales conditions" that do not match the "sales conditions" of the product NMX1, such candidate products have "sales conditions" as compared with the product NMX1. It is presumed that the products are siblings because they are different.

Then, in step S15, the information processing apparatus 100 stores the first information indicating the product NMX1 and the second information indicating each of the related products presumed to have a sibling relationship (difference in sales conditions) with the product NMX1 in the product information storage unit. Extract from 121. Then, from steps S16 to S17, the information processing apparatus 100 generates a detail page on which the first information and the second information extracted in step S15 are displayed, and distributes the generated detail page to the terminal device 10 of the user U1. ..

By the way, as described above, in the information processing apparatus 100 according to the embodiment, the first information indicating the product selected by the user and the product selected by the user can be regarded as the same product. Second information indicating other products presumed to have a sibling relationship due to different sales conditions (for example, model information) is extracted, and the content in which these are displayed together is presented. As a result, the user is currently viewing the product sold separately, but there is a pattern in which the same product is sold in multiple sets. For example, it is cheaper to sell in multiple sets. You will be able to easily grasp the fact that there is. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

[2-3. An example of the second information processing]
From here, an example of the second information processing among the information processing according to the embodiment will be described. The second information processing according to the embodiment is a series of information processing for presenting a predetermined product and another transaction target having a parent-child relationship with the predetermined product. More specifically, the second information processing according to the embodiment is a product that can be defined as the same product as the predetermined product by having a predetermined common item as compared with the predetermined product, while the "release date". Is a series of information processing for presenting a product that is presumed to have a parent-child relationship with a predetermined product. The "release date" referred to here refers to the "release date" described in the example of FIG. 7.

That is, the information processing apparatus 100 according to the embodiment extracts the first information indicating a predetermined product as the first information processing (difference in release date), and compares the predetermined product with a predetermined common item. While having, the second information indicating other transaction targets presumed to have a different release date (that is, a parent-child relationship) is extracted, and the first information and the content in which the second information is displayed are presented. Information processing is performed.

Further, an example of such first information processing will be described with reference to FIG. Therefore, the description of the contents common to the first example of information processing (difference in attributes) will be omitted as appropriate. First, steps 11 and S12 have already been described and will be omitted. Then, in step S13, the information processing apparatus 100 determines a parent-child relationship (difference in release date) as the relationship of the processing target. That is, while the information processing device 100 is a product that can be defined as the same product as compared with the product NMX1, it is determined to perform a process of estimating a product having a parent-child relationship due to a different "release date".

Further, in step S14, the information processing device 100 uses the product information IXF1-1 of the product NMX1 and the products of the candidate products belonging to the category “home appliances (television)” among the products registered in the product information storage unit 121. Compare with information. Then, based on this comparison, the information processing apparatus 100 estimates a product that is the same as the product NMX1 among the candidate products but has a parent-child relationship due to a difference in the release date.

For example, the information processing apparatus 100 compares the combination of the product NMX1 name "NMX1" and the model number "NOX1-1" with the combination of the "name" and "model number" of each candidate product, and compares the combination of the product NMX1 name "NMX1" with the product NMX1 name "NMX1". , And a candidate product having a combination matching the combination of the model number “NOX1-1” is defined as the same product as the product NMX1. Further, the information processing apparatus 100 compares the release date "RDAX1-1" of the product NMX1 with the release date of each candidate product defined as the same product as the product NMX1, and the release date "RDAX1-1" of the product NMX1. Identify candidate products that have a release date that does not match. For example, the information processing apparatus 100 compares the release date "RDAX1-1" of the product NMX1 with the release date of each candidate product defined as the same product as the product NMX1, and compares the release date "RDAX1-1" of the product NMX1. A candidate product having a newer and latest release date and a candidate product having a release date one generation older than the release date "RDAX1-1" of the product NMX1 are identified.

Then, when the information processing apparatus 100 can identify a candidate product having a release date that does not match the release date "RDAX1-1" of the product NMX1, the candidate product has a different release date as compared with the product NMX1. Therefore, it is presumed that the product has a parent-child relationship. In the example of FIG. 1, it is assumed that the information processing apparatus 100 estimates the product X13 as a product having a parental relationship with the product NMX1 because the release date is newer than that of the product NMX1. In other words, it is assumed that the information processing apparatus 100 estimates that the product X13 has a parent-child relationship as a parent as compared with the product NMX1 when the product NMX1 is a child. Further, in the example of FIG. 1, it is assumed that the information processing apparatus 100 estimates the product X14 as a product having a child relationship with the product NMX1 because the release date is one generation older than that of the product NMX1. In other words, it is assumed that the information processing apparatus 100 estimates that the product X14 has a parent-child relationship as a child as compared with the product NMX1 when the product NMX1 is used as a parent.

Then, in step S15, the information processing apparatus 100 has a first information indicating the product NMX1 and a child relationship with the product X13 and the product NMX1, which are related products estimated to have a parental relationship with the product NMX1. Second information indicating each of the product X14, which is a related product presumed to exist, is extracted from the product information storage unit 121.

In the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the first information IF1-1 as the first information indicating the product NMX1. Further, the first information IF1-1 includes image information indicating the product NMX1, the official name of the product NMX1, model information of the product NMX1 (for example, 50V type), the price of the product NMX1, and other detailed information of the product NMX1. It shall be. The first information IF1-1 can be said to be detailed information regarding the product NMX1.

Further, in the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the second information IF2-2 as the second information indicating each of the product X13 and the product X14. Further, the second information IF2-2 includes "model information of product X13 (for example, 50V type 32), price of product X13, inventory information of product X13", "model information of product X14 (for example, 45V type)". It is assumed that the price of the product X14 and the inventory information of the product X14 are included.

Then, from steps S16 to S17, the information processing apparatus 100 displays a detail page in which the first information IF1-1 extracted in step S15 is displayed as detailed information about the product NMX1 and the second information IF2-2 is displayed. Generate. In the example of FIG. 1, it is assumed that the information processing apparatus 100 has generated the detail page DEP22. Then, the information processing device 100 delivers the detail page DEP22 to the terminal device 10 of the user U1. The difference between the detail page DEP21 and the detail page DEP21 shown in FIG. 2 is that the detail page DEP22 displays information indicating a parent (for example, "NEW") and information indicating a child (for example, "OLD"). To be done. This point will be described with reference to FIG.

FIG. 3 is a diagram showing an example of a detail page (in the case of a parent-child relationship) according to the embodiment. According to the example of FIG. 3, on the detail page DEP22, the first information IF1-1 is displayed as detailed information about the product NMX1, and the second information IF2-2 is displayed. Specifically, according to the example of FIG. 3, on the detail page DEP22, the first information IF1-1 is displayed in the upper main and the second information IF2-2 is displayed in the lower margin. Then, on the detail page DEP22, it is clear from the display of the "NEW" mark that the product X13 exists as the latest model released newer than the product NMX1. Further, on the detail page DEP22, it is clear from the display of the "OLD" mark that the product X14 exists as an old model one generation older than the product NMX1. In addition, as long as the first information and the second information can be compared, the first information and the second information may be displayed in any size relationship and any positional relationship on the detail page.

By the way, as described above, in the information processing apparatus 100 according to the embodiment, the first information indicating the product selected by the user and the product selected by the user can be regarded as the same product. Second information indicating other products that are presumed to have a parent-child relationship due to different release dates is extracted, and the content in which these are displayed together is presented. As a result, the user can easily grasp that, for example, the latest model or the old model exists in the product currently being browsed. Also, for example, when a user wants to purchase as cheaply as possible and wants an out-of-mold product, or because he likes a new product and wants the latest model, information that satisfies this desire is available. Since it is presented, it may increase purchasing motivation. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

In the examples so far, the information processing apparatus 100 has shown an example in which one relationship of processing targets is determined in step 13. However, the information processing apparatus 100 may determine a plurality of relationships of processing targets. For example, the information processing apparatus 100 determines a plurality of relationships due to different target attribute information even if they have the same sibling relationship, such as sibling relationship-model information difference and sibling relationship-color difference. You may. Further, for example, the information processing apparatus 100 may determine a sibling relationship (difference in model information) and a parent-child relationship. As a result, the information processing apparatus 100 can present, for example, the second information IF2-1 shown in FIG. 2 and the second information IF2-2 shown in FIG. 3 at the same time. Then, the user can easily grasp at the same time what kind of variation exists in the product currently being browsed from the viewpoint of a plurality of axes (for example, an axis based on the attribute and an axis based on the departure date). Will be. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

[2-4. Example of third information processing]
From here, an example of the third information processing among the information processing according to the embodiment will be described. The third information processing according to the embodiment is a series of information processing for presenting a predetermined product and another product having a similar relationship with the predetermined product.

That is, the information processing apparatus 100 according to the embodiment has a similar relationship with the predetermined product by extracting the first information indicating the predetermined product as the third information processing and satisfying the predetermined condition information. Information processing is performed in which the second information indicating the other determined transaction target is extracted, and the first information and the content in which the second information is displayed are presented. For example, in the third information processing, the information processing apparatus 100 is calculated by comparing the spec information indicating the specifications of other products or the sales due to the purchase of another transaction target as the second information. The ranking information of the other transaction target is extracted. For example, the information processing apparatus 100 is superior to the prior art in that spec information indicating specifications of other products is extracted (acquired) from the product information storage unit 121 and presented. In the prior art, the spec information manually checked is associated with each product, whereas in the third information processing, the information processing device 100 is previously stored in the product information storage unit 121 for each product. Having the spec information is excellent in that more accurate spec information can be presented because the spec information of other products having a similar relationship with the predetermined product is dynamically acquired.

Further, the predetermined condition information is condition information for determining whether or not the product has a similar relationship with the predetermined product. As an example of such condition information, "the product must match in the finest category to which the predetermined product belongs" (condition 1), and "another user who has viewed the predetermined product has this predetermined product. It is a product that tends to be browsed immediately before or after browsing the product of "(Condition 2).

Here, an example of the third information processing will be described with reference to FIG. Further, also in the third information processing, the predetermined product is defined as a product indicating the search result selected by the user among the search results for which the product is searched in the B mall. Therefore, the description of the contents common to the first example of information processing (difference in attributes) will be omitted as appropriate. First, steps 11 and S12 have already been described and will be omitted. Then, in step S13, the information processing apparatus 100 determines a similar relationship as the relationship of the processing target. That is, the information processing device 100 determines to perform a process of estimating a product having a similar relationship with the product NMX1.

Further, in step S14, unlike the previous examples, the information processing apparatus 100 resembles the product NMX1 among the candidate products registered in the product information storage unit 121, which satisfy both the condition 1 and the condition 2. Presumed to be a related product. For example, the information processing device 100 determines whether or not the candidate product satisfies both the condition 1 and the condition 2 for each candidate product registered in the product information storage unit 121. Then, the information processing apparatus 100 estimates that the candidate product satisfying both the condition 1 and the condition 2 is a product having a similar relationship with the product NMX1. In the example of FIG. 1, it is assumed that the information processing apparatus 100 estimates the products X15, the product X16, the products X17, and X18 as the products having a similar relationship with the product NMX1. In other words, it is assumed that the information processing apparatus 100 estimates that the product X15, the product X16, the product X17, and X18 have a similar relationship with the product NMX1.

Then, in step S15, the information processing apparatus 100 indicates the first information indicating the product NMX1 and the second information indicating the product X15, the product X16, the product X17, and X18, which are related products estimated to have a similar relationship with the product NMX1. Information is extracted from the product information storage unit 121.

In the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the first information IF1-2 as the first information indicating the product NMX1. Further, the first information IF1-2 includes image information indicating the product NMX1, the official name of the product NMX1, model information of the product NMX1 (for example, 50V type), the price of the product NMX1, the sales order of the product NMX1, and the product NMX1. It is assumed that the spec information indicating the spec (for example, the number of pixels and the weight, etc.) is included. The sales ranking referred to here is ranking information calculated by comparing the sales of each product in the same category, and although not shown in FIG. 7, the product information storage unit 121 has this for each product. It is assumed that such ranking information is also registered in advance.

Further, in the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the second information IF2-3 as the second information indicating the product X15. Further, the second information IF2-3 includes image information indicating the product X15, the official name of the product X15, the model information of the product X15 (for example, 50V type), the price of the product X15, the sales order of the product X15, and the product X15. It is assumed that the spec information indicating the spec (for example, the number of pixels and the weight, etc.) is included. The sales ranking referred to here is ranking information calculated by comparing the sales of each product in the same category.

Further, in the example of FIG. 1, it is assumed that the information processing apparatus 100 has acquired the second information IF2-4 as the second information indicating the product X16. Further, the second information IF2-4 includes image information indicating the product X16, the official name of the product X16, the model information of the product X16 (for example, 50V type), the price of the product X16, the sales order of the product X16, and the product X16. It is assumed that the spec information indicating the spec (for example, the number of pixels and the weight, etc.) is included. The sales ranking referred to here is ranking information calculated by comparing the sales of each product in the same category.

Further, although detailed description will be omitted, the information processing apparatus 100 extracts the second information IF2-5 (not shown) as the second information indicating the product X17, and the second information IF2 as the second information indicating the product X18. It is assumed that -6 (not shown) is extracted.

Then, from steps S16 to S17, the information processing apparatus 100 displays the first information IF1-2 extracted in step S15, and also displays the second information IF2-3, the second information IF2-4, and the second information IF2-. 5. Generate a detail page on which the second information IF2-6 is displayed. In the example of FIG. 1, it is assumed that the information processing apparatus 100 has generated the detail page DEP23. Then, the information processing device 100 delivers the detail page DEP23 to the terminal device 10 of the user U1. On the detail page DEP23, for example, these are arranged so that the specifications of the product NMX1 selected by the user U1 can be compared with the specifications of the other products X15, X16, X17, and X18.

Here, the detail page DEP23 generated by the information processing apparatus 100 will be described with reference to FIG. FIG. 4 is a diagram showing an example of a detail page (in the case of a similar relationship) according to the embodiment. According to the example of FIG. 4, in the detail page DEP23, the first information IF1-2 corresponding to the product NMX1 selected by the user U1, the second information IF2-3 corresponding to the product X15 similar to the product NMX1, and the product The second information IF2-4 corresponding to the product X16 similar to the NMX1 is displayed side by side in a horizontal row.

Further, on the detail page DEP23 shown in FIG. 4, the second information IF2-5 corresponding to the product X17 similar to the product NMX1 and the second information IF2-6 corresponding to the product X18 similar to the product NMX1 are terminal devices. It is not displayed on the display screen of 10. However, it is not displayed on the display screen of the terminal device 10, but is virtually displayed on the detail page DEP23. For example, on the detail page DEP23, the first information IF1-2 is fixed, but the second information IF2-3 and the second information IF2-4 are displayed in a scrollable state. Therefore, when the second information IF2-3 and the second information IF2-4 are scrolled to the left, the second information IF2-3 and the second information IF2-4 enter the back side of the first information IF1-2. The second information IF2-5 and the second information IF2-6 will appear in order from the right end of the screen. It should be noted that such a display form is only an example.

For example, on the detail page DEP23, the first information IF1-2 is fixed, but the second information IF2-3 and the second information IF2-4 may be displayed in a state in which they can be individually erased. Therefore, when the second information IF2-3 is deleted, the second information IF2-4 is displayed shifted to the position where the second information IF2-3 has been displayed so far, and the second information IF2-4 has been displayed so far. The second information IF2-5 is newly displayed at the position where the information IF2-4 was displayed.

Further, on the detail page DEP23 shown in FIG. 4, the product X15, the product X16, the product X17, and the product X18 are each displayed as recommended products for the user. Therefore, the second information IF2-3, the second information IF2-4, the second information IF2-5, and the second information IF2-6 can be said to be recommended information to the user.

By the way, as described above, the information processing apparatus 100 according to the embodiment has a common first information indicating the product selected by the user, the product selected by the user, and the terminal category are common to the user. Second information indicating other products that are presumed to have a similar relationship with the selected product is extracted. Then, the information processing apparatus 100 displays the first information and the second information in a horizontal row so that the specifications of the product selected by the user can be compared with the specifications of other products having a similar relationship. Further, the spec information extracted as the first information and the spec information extracted as the second information are spec information registered in advance for each product in the product information storage unit 121, so that the reliability is high and the amount of information is larger. It can be said that there is a wealth of spec information. Therefore, the user can easily find, for example, a product that is close to the product currently being browsed and has higher specifications. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

[2-5. Third information processing variation]
The information processing apparatus 100 according to the above embodiment may be implemented in various different forms other than the above embodiment. Therefore, another embodiment of the information processing apparatus 100 will be described below. Specifically, a third variation of information processing will be described.

[2-5-1. Third information processing variation (1)]
In the third information processing, the information processing apparatus 100 indicates another product determined to have a similar relationship with the predetermined product (product selected by the user) by satisfying the predetermined condition information. An example of extracting information is shown. However, the information processing device 100 determines that the information processing device 100 has a similar relationship with a predetermined product (product selected by the user) by satisfying the predetermined condition information based on the user information about the user to whom the content is provided. Among the other transaction targets that have been processed, the second information indicating other products corresponding to the user may be preferentially extracted. Further, the user of the provision destination to which the content is provided is the user of the provision destination to which the detail page is provided by selecting the search result, and in the examples so far, the user U1 corresponds to this.

For example, the information processing device 100 analyzes the user's preference in the category from the behavior information (for example, browsing history) of the user in the category to which the predetermined product belongs. Then, when the information processing device 100 has a product according to the preference indicated by the analysis result among other transaction targets determined to have a similar relationship with the predetermined product by satisfying the predetermined condition information. This product is preferentially extracted. For example, it is assumed that the information processing apparatus 100 has obtained an analysis result that the user U1 has a high degree of interest in the product of the maker MK12 from the latest browsing history of the user U1. In such a case, if the information processing device 100 has a product (product of the manufacturer MK12) corresponding to the analysis result among other transaction targets determined to have a similar relationship with the product NMX1, the product is such a product. Product information is preferentially extracted from the product information storage unit 121. Further, the information processing apparatus 100 displays the product information of such a product on the detail page DEP23 at a position that is more easily noticed by the user U1. The position that is easily noticed by the user U1 is, for example, a position that is not displayed unless scrolling or erasing as described above, and is just beside the first information IF1-2.

According to such a display, the user can easily find, for example, a product that is close to the product currently being browsed and has a higher degree of interest. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

[2-5-2. Third information processing variation (2)]
Further, the information processing device 100 satisfies the content (contents (product selected by the user) based on the browsing history of other transaction targets determined to have a similar relationship with the predetermined product (product selected by the user) by satisfying the predetermined condition information. The display position when the second information is displayed in a list on the detail page) may be determined for each of the second information. For example, the information processing device 100 can determine the display position based on the browsing history of other transaction targets by the user to whom the content is provided. This point will be described with reference to the example of FIG.

In the example of FIG. 4, the product NMX1 corresponds to a predetermined product, and the product X15, the product X16, the product X17, and the product X18 correspond to other transaction targets determined to have a similar relationship with the predetermined product. Then, in the example of FIG. 4, the product X15, the product X16, the product X17, and the product X18 are displayed as comparison targets (sub) with respect to the product NMX1, but are displayed as the main by being selected from the search results. There is also. Therefore, the information processing device 100 indicates that each of the product X15, the product X16, the product X17, and the product X18 has a browsing history indicating that it has been displayed as the main product, and that the product X15 has been displayed as a sub product and has been actually selected. Based on the browsing history, the ease of browsing (for example, popularity) is calculated for each product X15, product X16, product X17, and product X18. The information processing device 100 sets the browsing history used here as the browsing history of only the user U1 and calculates the ease of browsing (for example, popularity) in the user U1 to obtain the detail page. Personalization may be performed.

Then, the information processing apparatus 100 ranks each of the product X15, the product X16, the product X17, and the product X18 based on the calculated popularity. For example, the information processing apparatus 100 assigns a higher ranking to a product having a higher degree of popularity among the product X15, the product X16, the product X17, and the product X18. In such an example, it is assumed that the information processing apparatus 100 has given the product X15 "rank 3", the product X16 "rank 1", the product X17 "rank 4", and the product X18 "rank 3". Then, the information processing apparatus 100 determines the display position on the detail page DEP23, where the second information of the similar product having a higher rank is more easily viewed by the user.

According to such a display, the user can easily find, for example, a product that is close to the product currently being browsed and is more popular or is of interest. Therefore, the information processing device 100 according to the embodiment can effectively guide the user to a product that can further enhance the purchase motivation.

[3. Information processing device configuration]
Next, the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 6 is a diagram showing a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 6, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. For example, the information processing device 100 is a server device that performs information processing described with reference to FIGS. 1 to 4 and the like.

(About communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from, for example, the terminal device 10.

(About storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 has a product information storage unit 121. The information processing device 100 may further have a storage unit for storing various history information.

(About control unit 130)
The control unit 130 is realized by executing various programs stored in the storage device inside the information processing device 100 using the RAM as a work area by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. .. Further, the control unit 130 is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 6, the control unit 130 includes a reception unit 131, an acquisition unit 132, an estimation unit 133, an extraction unit 134, a determination unit 135, a generation unit 136, and a presentation unit 137. Realize or execute the information processing functions and actions described below. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 6, and may be another configuration as long as it is a configuration for performing information processing described later. Further, the connection relationship of each processing unit included in the control unit 130 is not limited to the connection relationship shown in FIG. 6, and may be another connection relationship.

(About receiver 131)
The receiving unit 131 receives the content distribution request from the terminal device 10. For example, when a search result is selected on the search result page in which the search results for which the transaction target is searched are displayed, the receiving unit 131 shows the details of the transaction target corresponding to the selected search result. Receive a page delivery request. In the example of FIG. 1, the receiving unit 131 is a delivery request of the detail page showing the details of the product NMX1, and receives the delivery request including the product information IFX1. In the example of FIG. 1, the product information IFX1 shows an example in which the "category", "product code", and "name" of the selected product (product to be processed) are included, but the product information. Any product information may be included in the distribution request as long as it is information that can identify the selected product from the products registered in the storage unit 121.

(About acquisition unit 132)
The acquisition unit 132 refers to the product information storage unit 121, and acquires the product information corresponding to the product information included in the distribution request, which is the product information related to the product to be processed. In the example of FIG. 1, the acquisition unit 132 refers to the product information storage unit 121 and acquires the product information corresponding to the product information IXF1 of the product NMX1 to be processed. In the example of FIG. 1, the acquisition unit 132 acquires the product information IXF1-1 from the product information storage unit 121 as the product information corresponding to the product information IXF1.

(About estimation unit 133)
The estimation unit 133 compares the information related to the predetermined transaction target with the information related to the transaction target other than the predetermined transaction target among the information stored in the product information storage unit 121 to obtain the predetermined transaction target and the predetermined transaction target. Estimate related trading targets.

For example, the estimation unit 133 determines the relationship between the products to be processed and what kind of relationship the products have with the products to be processed. Then, the estimation unit 133 estimates the product having a relationship between the product to be processed and the product to be processed among the candidate products by comparing the product information about the product to be processed with the product information about the candidate product. The candidate product is a product that belongs to the same category as the product to be processed among the products registered in the product information storage unit 121. Therefore, in the example of FIG. 1, the estimation unit 133 includes the product information IXF1-1 of the product NMX1 and the candidate products belonging to the category “home appliances (television)” among the products registered in the product information storage unit 121, respectively. Compare with the product information of. Then, according to this comparison, the information processing apparatus 100 is the same product as the product NMX1 among the candidate products, but is subject to processing due to "○○ difference (for example, model difference, color difference, sales condition difference, release date difference)). Estimate products that are in a relationship (eg, sibling or parent-child relationship).

Further, for example, the estimation unit 133 estimates that the product has a similar relationship with the product for processing. For example, the estimation unit 133 estimates that among the candidate products registered in the product information storage unit 121, the candidate products satisfying both the condition 1 and the condition 2 are products having a similar relationship with the product to be processed. For this reason, the estimation unit 133 performs the estimation process from steps S13 to S14 described with reference to FIG.

(About extraction unit 134)
The extraction unit 134 indicates the first information, which is information indicating a predetermined transaction target, among the information stored in the product information storage unit 121, and other transaction targets having a predetermined relationship with the predetermined transaction target. The second information, which is information, is extracted. For example, the extraction unit 134 has, as a predetermined transaction target, the first information indicating the transaction target corresponding to the search result selected by the user among the search results, and another transaction target having a predetermined relationship with the transaction target. The second information indicating the above is extracted. Further, for example, the extraction unit 134 compares the information regarding the predetermined transaction target with the information regarding the transaction target other than the predetermined transaction target among the information stored in the product information storage unit 121, thereby performing a predetermined transaction. The second information indicating another transaction target presumed to have a predetermined relationship with the target is extracted. For example, the extraction unit 134 extracts the first information and the second information from the product information storage unit 121.

Further, for example, the extraction unit 134 extracts second information indicating another transaction target having a predetermined common item but having a different relationship of attribute information as compared with a predetermined transaction target. For example, the extraction unit 134 indicates, as attribute information, second information indicating appearance, model number, model information, usage size, or other transaction target in which at least one of the capacities in the transaction target unit has a different relationship. Is extracted.

Further, for example, the extraction unit 134 extracts second information indicating another transaction target having a predetermined common item but having a relationship with different sales conditions as compared with a predetermined transaction target.

Further, for example, the extraction unit 134 extracts the second information corresponding to the other transaction target having a predetermined common item but having a different release date as compared with the predetermined transaction target.

Further, for example, the extraction unit 134 extracts the second information indicating another transaction target determined to have a similar relationship with the predetermined transaction target by satisfying the predetermined condition information. For example, the extraction unit 134, as the second information, is the spec information indicating the specifications of the other transaction target, or the other transaction target calculated by comparing the sales due to the purchase of the other transaction target. Extract ranking information.

Further, for example, the extraction unit 134 is another transaction target determined to have a similar relationship with the predetermined transaction target by satisfying the predetermined condition information based on the user information about the user to whom the content is provided. Of these, the second information indicating other transaction targets according to the user is preferentially extracted.

(About decision unit 135)
The determination unit 135 displays a list of the second information in the content based on the browsing history of other transaction targets determined to have a similar relationship with the predetermined transaction target by satisfying the predetermined condition information. The display position is determined for each of the second information. For example, the determination unit 135 determines the display position as the browsing history based on the browsing history of the user to whom the content is provided for other transaction targets.

(About generator 136)
The generation unit 136 generates the content in which the first information and the second information extracted by the extraction unit 134 are displayed. For example, the generation unit 136 generates the detail page described with reference to FIGS. 2 to 4.

(About presentation part 137)
The presentation unit 137 presents the content on which the first information and the second information extracted by the extraction unit 134 are displayed. For example, the presentation unit 137 presents the first information and the second information by distributing the content generated by the generation unit 136 to the user. Further, for example, the presentation unit 137 presents the content in which the previous second information is displayed at each of the display positions determined by the determination unit 135.

[4. Processing procedure]
Next, the procedure of information processing according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing an information processing procedure according to the embodiment. In the example of FIG. 8, the content in which the first information and the second information are displayed shows detailed information of the product (product to be processed) corresponding to the search result selected by the user among the quotient search results. It shall be a detail page.

First, the receiving unit 131 determines whether or not the delivery request for the detail page has been received (step 101). If the receiving unit 131 has not received the delivery request of the detail page (step 101; No), the receiving unit 131 waits until the delivery request is received.

When the reception unit 131 receives the distribution request of the detail page (step 101; Yes), the acquisition unit 132 refers to the product information storage unit 121, and is the product information related to the product to be processed, and is the distribution request. Acquire the product information corresponding to the product information included in (step S102).

Next, the estimation unit 133 determines this "relationship of the processing target" as to what kind of relationship the product has with the product to be processed (step S103). In addition, the estimation unit 133 estimates the product in the "relationship between the processing target" and the product to be processed among the candidate products by comparing the product information related to the product to be processed with the product information related to the candidate product. The estimation process is performed (step S104).

Next, the extraction unit 134 extracts the first information and the second information based on the estimation result in step S104 (step S105). Specifically, the extraction unit 134 has the first information indicating the product to be processed among the information stored in the product information storage unit 121, the product to be processed, and the "relationship between the processing target". The second information indicating the transaction target of is extracted.

Next, the generation unit 136 generates a detail page in which the first information and the second information extracted by the extraction unit 134 are displayed (step S106), and the presentation unit 137 distributes this detail page to the user who requested the distribution. (Step S107).

[5. Hardware configuration]
Further, the information processing apparatus 100 according to the above embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer 1000 that realizes the functions of the information processing device 100. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via the communication network 50 and sends it to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the communication network 50.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the information processing device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the RAM 1200. Further, the data in the storage unit 120 is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via the communication network 50.

[6. Others]
Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of the device is functionally or physically distributed / physically in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

The embodiments of the present application have been described in detail with reference to some drawings, but these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to practice the present invention in other improved forms.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Information processing system 10 Terminal device 100 Information processing device 120 Storage unit 121 Product information storage unit 130 Control unit 131 Reception unit 132 Acquisition unit 133 Estimating unit 134 Extraction unit 135 Decision unit 136 Generation unit 137 Presentation unit

Claims (14)

For each transaction target, a storage unit in which information about the transaction target is registered in advance, and
Among the information stored in the storage unit, the first information which is information indicating a predetermined transaction target and the second information which is information indicating another transaction target having a predetermined relationship with the predetermined transaction target. Extraction unit and
An information processing device having a presenting unit for presenting contents on which the first information and the second information extracted by the extracting unit are displayed. As a predetermined transaction target, the extraction unit sets the first information indicating the transaction target corresponding to the search result selected by the user among the search results, and other transaction targets having a predetermined relationship with the transaction target. The information processing apparatus according to claim 1, wherein the second information shown is extracted. The extraction unit compares the information regarding the predetermined transaction target with the information regarding the transaction target other than the predetermined transaction target among the information stored in the storage unit, thereby performing the predetermined transaction target and the said. The information processing apparatus according to claim 1 or 2, wherein the second information indicating the other transaction target presumed to have a predetermined relationship is extracted. The extraction unit is characterized in that it extracts the second information indicating the other transaction target having a predetermined common term but having a different relationship of attribute information as compared with the predetermined transaction target. The information processing apparatus according to any one of claims 1 to 3. The second extraction unit indicates the other transaction target in which at least one of the appearance, model number, model information, application size, and capacity in the transaction target unit has a different relationship as the attribute information. The information processing apparatus according to claim 4, wherein information is extracted. The claim is characterized in that the extraction unit extracts second information indicating the other transaction target having a predetermined common item but having a relationship with different sales conditions as compared with the predetermined transaction target. Item 4. The information processing apparatus according to any one of Items 1 to 5. The extraction unit is characterized in that it extracts second information corresponding to the other transaction target having a predetermined common item but having a different release date as compared with the predetermined transaction target. The information processing apparatus according to any one of claims 1 to 6. The extraction unit extracts the second information indicating the other transaction target determined to have a similar relationship with the predetermined transaction target by satisfying the predetermined condition information.
The information processing apparatus according to any one of claims 1 to 7, wherein the presenting unit presents the content in which the second information for each of the other transaction objects is displayed in a list. As the second information, the extraction unit uses spec information indicating the specifications of the other transaction target, or the other transaction target calculated by comparing the sales due to the purchase of the other transaction target. The information processing apparatus according to claim 8, wherein the information processing apparatus according to claim 8 is characterized in that the ranking information of the above is extracted. The extraction unit is determined to have a similar relationship with the predetermined transaction target by satisfying the predetermined condition information based on the user information about the user to whom the content is provided. The information processing apparatus according to claim 8 or 9, wherein the second information indicating another transaction target according to the user is preferentially extracted. Further having a determination unit for determining the display position when the second information is displayed in a list in the content based on the browsing history of the other transaction target for each second information.
The information processing apparatus according to any one of claims 8 to 10, wherein the presenting unit presents the content in which the second information is displayed at each of the display positions determined by the determination unit. .. The information processing apparatus according to claim 11, wherein the display position is determined as the browsing history based on the browsing history of the other transaction target by the user to whom the content is provided. It is an information processing method executed by an information processing device.
For each transaction target, a storage process that stores information about the transaction target in the storage unit,
Among the information stored in the storage unit by the storage process, the first information indicating a predetermined transaction target and the information indicating another transaction target having a predetermined relationship with the predetermined transaction target. Extraction process to extract the second information and
An information processing method including a presentation step of presenting a content in which the first information and the second information extracted by the extraction step are displayed. For each transaction target, a storage procedure for storing information about the transaction target in the storage unit, and
Among the information stored in the storage unit by the storage procedure, the first information indicating a predetermined transaction target and the information indicating another transaction target having a predetermined relationship with the predetermined transaction target. Extraction procedure to extract the second information and
An information processing program characterized by causing a computer to execute a presentation procedure for presenting contents in which the first information and the second information extracted by the extraction procedure are displayed.

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