JP2023029025A - Information providing apparatus, information processing method, and program - Google Patents

Abstract

To assist in providing more useful information for a user.SOLUTION: An information processing apparatus comprises: an acquisition unit that acquires target information including specific information for specifying a position and a matter of interest which is time series information obtained by user actions; and a generation unit that generates information obtained by associating change information indicating a change in the degree of interest of the matter of interest corresponding to a position specified from the specific information with the position.SELECTED DRAWING: Figure 1

Description

Application for application of Article 30, Paragraph 2 of the Patent Law has been filed [1] Date of publication of website December 10, 2020 URL of website https://ds. Yahoo. co. jp/report/20201210. html <Document> Web page printout of analysis report [2] Date (release date) May 11, 2021 (Tuesday) 16: 00-17: 00 Meeting name, venue Yahoo Data Solutions Seminar for the real estate industry Yahoo Sponsored by Co., Ltd. * Online event (live distribution) using a video conferencing system (Zoom) Website URL: https://ds. Yahoo. co. jp/seminar/realstate_seminar. html <Document> Seminar for Real Estate Industry Information Webpage Printout [3] Date (release date) June 11, 2021 (Friday) 14:00-15:00 Meeting name, Venue For marketing strategy planning Data Utilization Seminar Co-sponsored by Yahoo Japan Corporation and dely Co., Ltd. * Held online (live distribution) using a video conferencing system (Zoom) Website URL: https://ds. Yahoo. co. jp/seminar/kurashiru-seminar. html <Documents> Data Utilization Seminar Information Webpage Printout

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

Conventionally, when a user inputs the conditions of a desired real estate property into a user terminal device, a real estate information database and a geographic information database are accessed via the Internet, and the distribution of real estate properties for each area, which is the search result, is displayed on a map. and select a desired area to display the real estate property as a mark on the map of that area (see, for example, Patent Document 1).

JP-A-2002-123589

However, with the above conventional technology, there are cases where it is not possible to generate or provide useful information to the user.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an information providing apparatus, an information processing method, and a program that can assist users in providing more useful information. one.

One aspect of the present invention is an acquisition unit that acquires time-series information obtained by a user's action and that includes target information including specific information for specifying a position and a matter of interest; and a generation unit that generates information in which change information indicating a change in the degree of interest of the matter of interest corresponding to the position is associated with the position.

ADVANTAGE OF THE INVENTION According to 1 aspect of this invention, it can support providing more useful information for a user.

1 is a diagram showing an example of a functional configuration of an information processing system 1 including an information processing device; FIG. 5 is a diagram showing an example of contents of time-series information 52. FIG. FIG. 10 is a diagram for explaining processing for specifying a place name; FIG. FIG. 10 is a diagram for explaining reference information 54 and a process for specifying the location of a place name; FIG. 4 is a diagram for explaining a process of deriving an index; FIG. 5 is a diagram showing an example of generated information 56. FIG. It is a figure which shows an example of the plotted information displayed on the display part. 4 is a flowchart showing an example of the flow of processing executed by the information processing device 30; FIG. 10 is a diagram showing an example of information indicating tendencies of male and female interest in condominiums; FIG. 11 is a diagram showing an example of a processing result of a search query “place name pub”; FIG. 10 is a diagram showing an example of a processing result of a search query “place name yakiniku”; FIG. 10 is a diagram showing an example of a processing result of a search query “place name lunch”; FIG. 10 is a diagram showing an example of information displayed on a display unit in the third embodiment; FIG. FIG. 11 is a diagram for explaining an outline of processing according to the third embodiment; FIG. It is a figure for demonstrating the process of 4th Embodiment. It is a figure which shows an example of the process result of 4th Embodiment. It is a figure which shows an example of the process result of 5th Embodiment. It is a figure for demonstrating the process result of 6th Embodiment. It is a figure which shows an example of the processing result of the information processing apparatus 30 of 7th Embodiment.

Hereinafter, embodiments of an information providing device, an information processing method, and a program according to the present invention will be described with reference to the drawings.

[Outline (Part 1)]
An information processing apparatus according to one aspect of the present embodiment includes an acquisition unit that acquires target information including specific information for specifying a position and a matter of interest, which is time-series information obtained by a user's action; and a generating unit that generates information in which change information indicating a change in the degree of interest of the matter of interest corresponding to the position specified from the specific information is associated with the position.

An “action” is, for example, a behavior of a user, and is a user's input of target information by operating a terminal device. Actions may include the user writing down specific information and concerns and speaking.

"Position" is, for example, a place, point, area, position, set area, status, etc. to which change information is associated. The position may be an object to which change information is associated, such as a municipality, an area corresponding to a route, an area corresponding to a position, or the like.

"Target information" is information provided by the user via the network. The target information is, for example, search queries, information input through various services on the network, and the like. For example, when a user inputs specific information and information including interests in a network survey, chat, etc., this information may be the target information.

<First embodiment>
[Information processing system]
FIG. 1 is a diagram showing an example of a functional configuration of an information processing system 1 including an information processing device. The information processing system 1 includes, for example, one or more terminal devices 10 , a search server 20 , and an information processing device 30 . The terminal device 10 and the search server 20 communicate with each other via the network NW. The search server 20 and the information processing device 30 communicate with each other via the network NW. The network NW includes the Internet, a LAN (Local Area Network), a WAN (Wide Area Network), a cellular network, and the like.

[Terminal device]
The terminal device 10 is a computer device having a communication function and a display function, such as a smart phone, a personal computer, or a tablet terminal. The terminal device 10 includes, for example, a communication unit, which is a communication interface for communicating with the search server 20, and a UA. In the terminal device 10, a processor such as a CPU (Central Processing Unit) executes UAs such as browsers and application programs to realize various services.

[Search server]
The search server 20 acquires a search query from the terminal device 10 and provides the terminal device 10 with information according to the acquired search query. The search server 20 searches for information related to the acquired search query using a search engine. The search server 20 provides the information processing device 30 with the search query acquired from the terminal device 10 .

[Information providing device]
The information processing device 30 includes, for example, an acquisition unit 32 , a processing unit 34 , a display control unit 40 and a storage unit 50 . The acquisition unit 32, the processing unit 34, and the display control unit 40 are implemented by a hardware processor such as a CPU (Central Processing Unit) executing a program stored in a storage device. In addition, these functional units may be realized by hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), GPU (Graphics Processing Unit), It may be realized by cooperation of software and hardware. Further, the above program may be stored in a storage device in advance, or may be stored in a detachable storage medium such as a DVD or CD-ROM, and the storage medium may be installed in the drive device of the information processing device 30. may be installed on the storage device by

The storage unit 50 is implemented by, for example, a ROM (Read Only Memory), a flash memory, an SD card, a RAM (Random Access Memory), a HDD (Hard Disc Drive), a register, and the like. Also, part or all of the storage unit 50 may be a NAS (Network Attached Storage), an external storage server device, or the like. The storage unit 50 stores, for example, time series information 52 , reference information 54 , and generation information 56 . Details of the reference information 54 and the generated information 56 will be described later.

(acquisition unit)
The acquisition unit 32 acquires the time-series information 52 stored in the storage unit 50 . FIG. 2 is a diagram showing an example of the contents of the time-series information 52. As shown in FIG. The time-series information 52 is, for example, information provided by the search server 20, information provided by another device, or information provided from a storage medium in which the time-series information 52 is stored. The time-series information 52 is, for example, information in which a search query and the date and time when the search server 20 acquired the search query from the terminal device 10 are associated with each other. The search query used in this process is, for example, a search query including a place name (or station name) and a user's interest, or a search query composed of a place name and a user's interest. In the following description, as an example, the matter of interest is described as "apartment".

(Processing part)
The processing unit 34 includes, for example, a first processing unit 36 and a second processing unit 38 . The first processing unit 36 identifies the location according to the search query. First, the first processing unit 36 identifies a place name (or station name) from the search query. FIG. 3 is a diagram for explaining the process of specifying a place name. For example, in the search query “Nakano apartment”, the first processing unit 36 deletes the word after the space or the set word (apartment) to specify the place name “Nakano”. The first processing unit 36 refers to a preset list of place names and identifies "Nakano" as the place name. The first processing unit 36 identifies the place name (Nakano, Higashi-Nakano, Hatsudai, etc.) of each search query, as shown in FIG.

In the above process, a word similar to the place name (a word presumed to be intended by the user as the place name) may be treated as the place name. In the above example, the words are arranged in the order of place name and interest, but the order may be reversed, and other words may be included between the place name and interest. . In this case, the first processing unit 36 may specify the place name and the interest, delete the words between the place name and the interest, and perform subsequent processing. Also, if a predetermined place name is included, the search query may be excluded from processing. For example, if a predetermined place name such as "Tokyo apartment" or "Saitama apartment" is included, the search query may be excluded from processing.

Next, the first processing unit 36 refers to the reference information 54 to identify the place (position) of the identified place name. FIG. 4 is a diagram for explaining the reference information 54 and the processing for specifying the location of the place name. The reference information 54 is, for example, information in which a place name and a place (latitude and longitude) corresponding to the place name are associated with each other. The first processing unit 36, for example, identifies places corresponding to the place names “Nakano”, “Higashi-Nakano”, and “Hatsudai”. A place is a place where the result (change information) of the statistical processing mentioned later is plotted on a map. Also, if the search query includes a station name, the location of the station may be specified.

The second processing unit 38 statistically processes the search query and derives an index related to the specified location for each location. FIG. 5 is a diagram for explaining a process of deriving indices. FIG. 5 shows the result of statistical processing performed on a search query including the place name "Nakano". The second processing unit 38 derives a first index, a second index, and a third index for each location over a predetermined period. The first index is the number of search queries containing the place name “Nakano” and the interest “mansion” by day. The second index is an index based on the number of search queries per set period. A metric based on the number of search queries is the total or average value of search queries. The set period is, for example, one week from Monday to Sunday.

The third index is an index obtained by adding a preset weight to the second index. For example, the weight is given with a tendency to emphasize the most recent or the most recent period (the end of the predetermined period) of the period covered by the statistical processing, or the index other than the most recent period It is given with a tendency to disregard indicators for periods (other periods) and periods other than the most recent and near-most recent periods (other periods).

In the present embodiment, the first index to the third index are used. Another index based on one index may be derived, and this index may be used in the processing described later. The "first index", "second index", "third index" or "other index" are examples of "index based on the number of target information".

The second processing unit 38 derives an index obtained by processing the third index for each location. A processed index is a correlation coefficient with respect to a reference index. The reference index is, for example, a linear index that tends to increase as the X-axis index (day) increases, the Y-axis index (the index to be compared with the third index) tends to increase. More specifically, the reference index is one in which the X-axis index and the Y-axis index increase with the same tendency (X=Y index). The second processing unit 38 derives the correlation coefficient for each location and the number of search queries including the location (place name). The second processing unit 38 generates generated information 56 in which the location, the correlation coefficient, and the number of searches corresponding to the location are associated with each other. FIG. 6 is a diagram showing an example of the generation information 56. As shown in FIG. A "correlation coefficient" is another example of an "index based on the number of pieces of target information." The generated information 56 is an example of "information in which change information is associated with the position."

In the above example, the index such as the first index is the number of searches, but instead of this, any index such as the number of all searches, the ratio of a predetermined number of searches, or an index based on the ratio can be used. may be used to determine the correlation coefficient. Further, in the above example, the correlation is obtained, but the present invention is not limited to this, and information indicating the transition of interest for each period may be used.

(Display control unit)
Based on the generated information 56, the display control unit 40 plots information indicating trends of user interest at each location on the map. The plotted information is displayed on the display unit, for example. FIG. 7 is a diagram showing an example of plotted information displayed on the display unit. The plotted information is another example of "information that associates change information with the position", or "information that includes information indicating the number of target information and the change information is associated with the position. is an example of

As shown in FIG. 7, the display unit displays map information in which symbols indicating strength or weakness of correlation are plotted with respect to locations. The size of the triangle symbol indicates the number of search queries, and the larger the number, the higher the number of searches.

For example, an upward pointing triangle symbol indicates a relatively strong correlation to the reference index (indicating a correlation coefficient greater than zero), and a downward pointing triangle symbol indicates a relatively weak correlation. (indicating that the correlation coefficient is less than zero). The darker the upward triangle, the stronger the correlation, and the darker the downward triangle, the weaker the correlation. For example, if the number of search queries for "place name A apartment" is increasing day by day, the correlation tends to be strong, and if the number is decreasing day by day, the correlation tends to be weak. In other words, if the number of search queries for “place name A condominium” is increasing day by day, it indicates that interest in condominiums in place name A in the world is increasing, and if it is decreasing day by day, the number of search queries in place name A in the world is increasing. This is thought to indicate that interest in condominiums is declining.

The example in FIG. 7 shows the results of statistical processing of search queries for half a year from May 2020 (the month following the declaration of a state of emergency due to the corona virus) to the end of October. In this example, interest tends to be high in Kachidoki, where large-scale condominiums are scheduled to be built, but interest tends to be low in central Tokyo (city center) near the center of the map. There is a tendency that interest is higher in the suburbs. During the above period, it can be seen that the public is paying more attention to apartments in the suburbs than in the center of Tokyo.

In FIG. 7, an example of processing the search query "location name apartment" was explained, but the same trend as in FIG. It was confirmed that the suburbs were attracting more attention than the central area. Further, the information processing device 30 may perform the same processing for a search query including a place name and an arbitrary word, such as "place name real estate", "place name villa", and "place name property". Further, in the above example, the processing result of the information processing device 30 is described as being displayed on the display unit. may be provided.

[summary]
For example, information indicating trends in public interest contained in an image such as that shown in FIG. 7 is useful information for the user. For example, the user can recognize what type of property in the region has a growing interest, and can conduct sales activities or develop properties based on this interest. Thus, the information processing device 30 can provide the user with more useful information.

[flowchart]
FIG. 8 is a flowchart showing an example of the flow of processing executed by the information processing device 30. As shown in FIG. The order of the processing and the content of the processing in FIG. 8 are examples, and the order and the content of the processing may be changed as appropriate.

First, the acquisition unit 32 acquires a plurality of search queries to be processed (step S100). For example, the acquisition unit 32 acquires a search query to be processed from the time-series information 52, among search queries such as “place name apartment”, “place name rental”, and “place name detached house”.

Next, the first processing unit 36 extracts one search query from the plurality of search queries to be processed (step S102). Next, the first processing unit 36 refers to the reference information 54 and identifies the place from the place name included in the search query (step S104).

Next, the first processing unit 36 determines whether or not locations have been specified for all search queries (step S106). If the locations have not been identified for all search queries, return to step S102. When the location is identified for all search queries, the second processing unit 38 derives the third index (step S108). For example, as described with reference to FIG. 5, the second processing unit 38 derives the third index based on the first index, second index, and weight.

Next, the second processing unit 38 uses the processing result of step S108 to derive the correlation coefficient and the number of searches for each location (step S110). Next, the second processing unit 38 plots information indicating trends in public interest on a map based on the processing result of step S110 (step S112). Next, the display control unit 40 causes the display unit to display the map information plotted in step S112 (step S114). Thus, the processing of this flowchart ends.

Through the above process, the information processing device 30 generates information indicating the world trend of the target interest based on the search query, and provides the generated information to the user, thereby generating more useful information for the user. (helping to provide) and able to provide.

[Consider attributes]
Further, in the above process, the information processing device 30 may provide information indicating the result of the process that takes into account the attributes of the user who has input the search query. Attributes include, for example, a user's sex, generation, age, estimated income, address, family structure, interest in real estate (interest), and the like. Information indicating this attribute is stored in the storage unit 50 in association with the search query. The information processing device 30 generates information that takes into account the specified attribute among these. For example, the information processing device 30 may generate information indicating trends in male interest in condominiums, trends in interest in condominiums by age group, and the like, and may provide the generated information to the user.

For example, the information processing device 30 generates information indicating trends of interest in condominiums according to the set attributes, and provides the generated information to the user. For example, when male and female are specified as attributes, the information processing apparatus 30 generates information indicating trends of interest in condominiums for men and women, and provides the generated information to the user. FIG. 9 is a diagram showing an example of information indicating tendencies of men's and women's interest in condominiums. In the example of FIG. 9, the transition (correlation) of interest for each period is omitted, but the transition of interest for each period may also be shown as described above.

According to the first embodiment described above, the information processing apparatus 30 provides useful information to the user by generating information in which change information indicating changes in the degree of interest in the matter of interest is associated with a location. We can support and provide more.

<Second embodiment>
A second embodiment will be described below. In the first embodiment, search queries such as "place name real estate (e.g., condominium, rental, detached house)" are processed, and information is provided that indicates whether public interest in real estate is increasing or decreasing. I assumed. On the other hand, in the second embodiment, the search query "place name, word that reminds of eating and drinking (for example, izakaya, yakiniku, lunch, ramen, cafe, etc.)" is processed, and interest in eating and drinking in any place in the world is increasing. provide information indicating whether the

In the second embodiment, the process of obtaining the correlation coefficient with the index of X=Y may be performed in the same manner as in the first embodiment. Information indicating the obtained degree of increase or decrease may be plotted on a map. 10-12 is a diagram plotting the degree of increase or decrease in the number of search queries to be processed in January 2021 with respect to the number of search queries to be processed in January 2020 on a map.

FIG. 10 is a diagram showing an example of the processing result of the search query “place name pub”. Since the number of search queries has decreased significantly in most areas, it can be seen that the public is less interested in izakaya in each location in January 2021 compared to January 2020.

FIG. 11 is a diagram showing an example of the processing result of the search query “place name yakiniku”. Although there are places where the number of search queries is decreasing, there are many places where it is increasing, so in January 2021 compared to January 2020, the public is not less interested in yakiniku in each place. It can be seen that it is relatively high. It can be said that the demand for yakiniku (grilled meat) has remained the same or is on the rise even during the pandemic, especially at large stations in the suburbs.

FIG. 12 is a diagram illustrating an example of a processing result of the search query “place name lunch”. In the center of Tokyo, there are many places where the number of search queries has decreased in places with a large number of search queries, and in January 2021 compared to January 2020, public interest in lunch in the center is low. It's becoming In the suburbs, there are few places where the number of search queries is decreasing and many places where it is increasing, and in January 2021 compared to January 2020, public interest in lunch in the suburbs is relatively high. ing.

As described above, the information processing device 30 can generate information indicating changes in the user's interest during the target period and provide the generated information to the user. The user can refer to the trend of interest of the user provided, and can consider in detail various things such as future store opening plans, products to be provided, and services to be provided.

It should be noted that any words such as "place name cafe", "place name ramen", "place name takeout", and "place name delivery" may be processed.

According to the second embodiment described above, the information processing device 30 can achieve the same effects as those of the first embodiment.

<Third Embodiment>
A third embodiment will be described below. In the first and second embodiments, place names and a map of Tokyo (a map of a predetermined area) are used, but in the third embodiment, processing is performed using divisions and floors. For example, a search query to be processed in the third embodiment includes information indicating a store name or section, such as "store name lunch" or "store name facility (for example, XX department store, XX building, etc.)".

FIG. 13 is a diagram showing an example of information displayed on the display unit in the third embodiment. FIG. 13 shows a map of the floors of the building and stores on the floors. The darker the store color, the greater the number of search queries including the store name. For example, at store A, store F, store G, and store H, the interest in the predetermined period is low, and among them, the interest in store A and store G shows a lower trend than the other stores. there is Also, for example, store B, store C, store D, store E, and store H have high interest during a predetermined period, and among them, store E and store H show higher interest than other stores. It shows that there is a tendency to

FIG. 14 is a diagram for explaining an outline of processing in the third embodiment. For example, the first processing unit 36 deletes the word after the space or the set word (lunch) in the search query "A store lunch" to specify the section "A store". Further, the first processing unit 36 refers to the section list, which is information in which stores and sections are associated in advance, and identifies that store A is "section A" on the floor map. Then, as described in the first embodiment, the information processing device 30 performs various processes and plots information indicating changes in interest on the floor map.

According to the third embodiment described above, the information processing device 30 can provide the user with information indicating the trend of interest in any area or section such as a floor, not limited to a map of Tokyo. As a result, the information processing apparatus 30 can support and further provide useful information to the user.

<Fourth Embodiment>
A fourth embodiment will be described below. In the first to third embodiments, the place name and the location (store name and section) are described as having a one-to-one relationship. may be associated with one location (partition).

FIG. 15 is a diagram for explaining the processing of the fourth embodiment. For example, in the reference information 54, one place is associated with a plurality of place names. For example, the first processing unit 36 extracts "Roppongi" in the search query "Roppongi apartment", refers to the reference information 54, and identifies which place "Roppongi" corresponds to. For example, "Roppongi" and "Azabu" are classified into one place (for example, a place corresponding to the ward to which they belong). By performing such processing, information as shown in FIG. 16 is generated.

FIG. 16 is a diagram illustrating an example of a processing result of the fourth embodiment; As shown in FIG. 16, information indicating changes in interest for each of the 23 wards of Tokyo is generated, and the generated information is displayed on the display unit. In the example of FIG. 16, interest in condominiums in central Tokyo such as Chiyoda Ward and Minato Ward tends to be low, while interest in condominiums in relatively suburban wards tends to be high. I understand.

According to the fourth embodiment described above, the information processing apparatus 30 can achieve effects similar to those of the first to third embodiments.

<Fifth Embodiment>
The fifth embodiment will be described below. In the fifth embodiment, the information processing apparatus 30 classifies place names into predetermined groups (for example, routes and predetermined sections of routes) and provides the user with information indicating the classification results.

FIG. 17 is a diagram illustrating an example of a processing result of the fifth embodiment; For example, the information processing device 30 classifies the search queries “Ogikubo mansion” and “Kichijoji mansion” into the Chuo line, classifies the search queries “Sangenjaya mansion” and “Futakotamagawa mansion” into the Den-en-toshi line, and classifies the other place names. are also classified into routes (or sections) associated with place names prepared in advance. Then, the information processing device 30 generates information shown in FIG. 17 based on the classification result. The example of FIG. 17 shows the routes of interest in Tokyo and its suburbs. The thicker the route line, the more search queries that include the place name corresponding to that route, and the darker the color, the higher the interest. For example, it can be seen that the Den-en-toshi Line and Chuo Line tend to attract more interest than other lines (such as the Keihin-Tohoku Line section from Shinagawa to Kanagawa).

According to the fifth embodiment described above, the information processing apparatus 30 classifies place names into predetermined groups, and provides the user with information indicating changes in interests based on the classification results. As a result, the information processing apparatus 30 of the fifth embodiment can achieve the same effects as those of the first to fifth embodiments.

<Sixth Embodiment>
The sixth embodiment will be described below. In the fifth embodiment, place names are grouped and classified by route, but in the sixth embodiment, place names are classified according to travel time (or arbitrary criteria such as distance) from a certain point. .

FIG. 18 is a diagram for explaining the processing result of the sixth embodiment. The information processing device 30, for example, refers to the reference information 54 and classifies the place names of the search query "place name apartment" into groups corresponding to the place names. The reference information 54 of the sixth embodiment is information in which one or more place names are associated with groups according to travel time from Tokyo Station (for example, train boarding time). Groups include, for example, a group whose travel time is within 20 minutes, a group within 30 minutes, a group within 40 minutes, a group within 50 minutes, and the like. For example, place names "Shimokitazawa", "Nishi-Funabashi", and "Matsudo" are classified into groups within 30 minutes, place names "Mitaka" are classified into groups within 40 minutes, and place names "Ofuna" are classified into groups within 50 minutes. be done.

In the example of FIG. 18, in the section indicating the group, the darker the color, the higher the interest, and the lighter the color, the lower the interest. FIG. 18 shows that the longer the travel time from Tokyo Station, the higher the interest in condominiums. In other words, it can be seen that interest in apartments in the suburbs is higher than in central Tokyo. Although the number of searches for a search query is omitted in the example of FIG. 18, information on the number of searches for each section may be associated with the section.

According to the sixth embodiment described above, the information processing apparatus 30 generates information indicating changes in interest in groups grouped based on arbitrary criteria, and provides the generated information to the user. As a result, the information processing apparatus 30 can support and further provide useful information to the user.

<Seventh Embodiment>
The seventh embodiment will be described below. In the first to sixth embodiments, search queries indicating place names and positions were processed, but in the seventh embodiment, search queries including words other than place names and positions and interests were processed. do. Words other than place names and locations are, for example, words that indicate status, and words that can be classified into location, location, and status. In the following description, a search query including words indicating a position, “brand name” and “interest (for example, back)” is processed as words other than place names and positions.

FIG. 19 is a diagram showing an example of the processing result of the information processing device 30 of the seventh embodiment. In the example of FIG. 19, the horizontal axis indicates elegant and sporty, and the vertical axis indicates luxury and reasonable. The luxury and elegant area is called the first event, the luxury and sporty area is called the second event, the reasonable and sporty area is called the third event, and the reasonable and elegant area is called the fourth event. It is preset that brand A is located in the first event, brand B is located in the second event, brand C is located in the third event, and brand D is located in the fourth event.

The information processing device 30 identifies the brand name in the search query “brand name back” and identifies the status of the identified brand name by referring to the reference information 54 . A position is a position (brand position) defined by the position on the horizontal axis and the position on the vertical axis shown in FIG. The reference information 54 of the seventh embodiment is information in which a brand name and a position (place or position) defined by the position on the horizontal axis and the position on the vertical axis are associated with each other. The information processing device 30 performs a process of specifying a position for each of a plurality of search queries to be processed, generates information shown in FIG. 19 based on the processing result, and provides the generated information to the user. .

In the example of FIG. 19, brand A and brand D tend to be of higher public interest, and brand D's interest tends to be higher than brand A's interest. Also, Brand B and Brand C tend to be less popular with the public. In the above example, it can be seen that interest in luxury brand bags tends to be high, and interest in reasonably priced bags tends to be low. From this result, it is conceivable that, for example, spending on eating out and travel is curtailed, and the corresponding consumption is directed to the consumption of high-end bags.

According to the seventh embodiment described above, the information processing apparatus 30 uses the specific information for specifying the plot such as the brand name different from the place name, and the interest, to detect changes in interest in the status of the brand. and provide the generated information to the user. As a result, the information processing device 30 can support and further provide useful information to the user.

According to the embodiment described above, the information processing device 30 acquires target information including specific information for specifying a position and a matter of interest, which is time-series information obtained by a user's action. By generating information in which change information indicating changes in the level of interest in the matter of interest corresponding to the position specified from the specific information is associated with the position, it is possible to support the provision of more useful information to the user. be able to. Furthermore, the information processing apparatus 30 can provide the user with useful information by providing the generated information to the user.

As described above, the mode for carrying out the present invention has been described using the embodiments, but the present invention is not limited to such embodiments at all, and various modifications and replacements can be made without departing from the scope of the present invention. can be added.

Reference Signs List 1 information processing system 10 terminal device 20 search server 30 information processing device 32 acquisition unit 34 processing unit 36 first processing unit 38 second processing unit 40 display control Unit 50 Storage unit 52 Time-series information 54 Reference information 56 Generated information

Claims (20)

an acquisition unit that acquires target information, which is time-series information obtained by a user's actions and includes specific information for specifying a position and interests;
a generation unit that generates information in which change information indicating a change in the degree of interest of the matter of interest corresponding to the position specified from the specific information is associated with the position;
Information processing device. The target information is information provided by a user via a network,
The information processing device according to claim 1 . The target information is a search query,
The information processing apparatus according to claim 1 or 2. The position is a point, area, route, set area, or position,
The information processing apparatus according to any one of claims 1 to 3. the position is a point on a map;
The generation unit generates information in which the change information is associated with the location on the map.
The information processing apparatus according to any one of claims 1 to 4. The generation unit generates information in which information including information indicating the number of the target information and the change information is associated with the position.
The information processing apparatus according to any one of claims 1 to 5. the interest is real estate;
The information processing apparatus according to any one of claims 1 to 6. said interest is an apartment, rental, or single-family home;
The information processing apparatus according to claim 7. The matter of interest is a matter related to eating and drinking,
The information processing apparatus according to any one of claims 1 to 8. the interest is a cafe, izakaya, yakiniku, ramen, or lunch;
The information processing apparatus according to claim 9 . The generating unit refers to information in which the prepared specific information and the position are associated, and identifies the position associated with the specific information acquired by the acquiring unit.
The information processing apparatus according to any one of claims 1 to 10. The generating unit
generating change information indicating a change in interest in the matter of interest corresponding to each of the identified positions based on an index based on the number of the target information corresponding to each of the identified positions;
generating information in which each of the generated change information is associated with the position corresponding to the change information;
The information processing apparatus according to any one of claims 1 to 11. The number of target information is the number of search queries for each set period in a predetermined period,
The information processing apparatus according to claim 12. The index based on the number of target information is an index obtained by assigning a preset weight to the number of searches or a value obtained by statistically processing the number of searches,
The weight for the number of searches in the set period at the end of the predetermined period or the value obtained by statistically processing the number of searches is higher than the weight for the number of searches in the set period or the value obtained by statistically processing the number of searches at other times is also heavily set,
The information processing apparatus according to claim 13. The generating unit obtains the strength and weakness of the correlation between the weighted value and a reference index as a reference, and based on the obtained index indicating the strength and weakness of the correlation, generates the item of interest. generating change information indicative of a change in interest in
The information processing apparatus according to claim 14. The generation unit generates information in which change information indicating a change in interest in the matter of interest is associated with the position, based on target information provided by a user having a preset attribute.
The information processing apparatus according to any one of claims 1 to 15. The attributes include age, age group, gender, income, address, family composition, or degree of interest in the matter of interest,
The information processing apparatus according to claim 16. an acquisition unit that acquires a search query that is associated with a time period provided by a user via a network and that includes specific information for specifying a place name or a station name and a matter of interest;
Identifying a location on the map identified from the identification information, generating change information of interest level of the interest for each location based on the number of search queries for each location, and generating the generated change a generation unit that generates information in which the change information is associated with a position on the map corresponding to the information;
Information processing device. the computer
Obtaining target information, which is time-series information obtained by user actions and includes specific information for identifying a position and interests,
generating information in which change information indicating a change in the degree of interest in the matter of interest corresponding to the position specified from the specific information is associated with the position;
Information processing methods. to the computer,
Acquiring target information, which is time-series information obtained by user actions and includes specific information for specifying a position and interests,
Generate information in which change information indicating a change in the degree of interest in the matter of interest corresponding to the position specified from the specific information is associated with the position;
program.

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