KR20240114313A - Device and Method for Providing Manufacturer Search Results - Google Patents

Abstract

An apparatus and method for providing manufacturer search results are disclosed.
According to one embodiment of the present invention, a process of inputting search information (S100); A process of generating context information based on the search information (S200); Process of collecting company information (S300); A process of generating a comparison ontology based on the company information (S400); A process of generating a list in which a plurality of manufacturers are sorted in an order corresponding to the similarity order of each manufacturer's attributes and the context information (S500); and a process of providing a screen containing the list and information on each manufacturer included in the list to the user terminal (S600).
A method of providing manufacturer search results including a method is disclosed.

Description

Device and Method for Providing Manufacturer Search Results}

The present invention relates to an apparatus and method for providing manufacturer search results. More specifically, it relates to an apparatus and method for providing manufacturer search results that generates a list sorting a plurality of manufacturers in an order corresponding to the order of similarity between the manufacturer and the context information.

The content described in this section simply provides background information about the present invention and does not constitute prior art.

While Korea's manufacturing industry is the 5th largest in the world, there is no search engine to search for manufacturers. Therefore, consumers must search for manufacturers on general search portals to find them. However, the information provided by general search portals is mixed with noise such as advertising articles, and information that is not noise often contains content that does not correspond to reality, causing confusion.

Additionally, consumers can intuitively understand the manufacturer's manufacturing capabilities or manufactured items based on images of products already manufactured by the manufacturer, but there is the inconvenience of having to visit the manufacturer's site directly to obtain these images.

Therefore, the present invention was created to solve the above-mentioned problems, and is intended to provide only information about the manufacturer without noise.

In addition, the present invention seeks to intuitively convey more information about the manufacturer to the user by displaying information such as images of the manufacturer's already manufactured products on the user's screen along with the manufacturer list.

According to one embodiment of the present invention, a method of providing search results for a manufacturer includes: receiving search information by a user (S100); A process of generating context information corresponding to the user's search intention based on the search information (S200); Process of collecting company information for multiple manufacturers (S300); A process of generating a comparison ontology for comparison with the context information based on the company information (S400); A process of generating a list in which a plurality of manufacturers are sorted in an order corresponding to the attributes of each manufacturer and the similarity order of the context information based on the context information and the comparative ontology (S500); and a process (S600) of providing a screen containing the list and information on each manufacturer included in the list to the user terminal.

Here, search information includes image data.

Here, process S300 includes a process (S310) of loading public data stored in the database.

Additionally, step S300 includes a step (S320) of receiving search result data for the search information from an external server.

Additionally, process S300 includes a process (S330) of receiving mining data collected from a website by a crawling bot.

In addition, process S300 includes generating labeling data corresponding to the attributes of the manufacturer based on the portfolio of at least one manufacturer and storing the labeling data in a database (S341); and a process of loading the labeling data from the database (S342).

Here, step S200 includes, when the search information includes language information, separating morphemes of the search information into semantic units (S210); and a step (S220) of categorizing each morpheme group separated in step S210, and in step S500, the listing order of the plurality of manufacturers is determined considering the category of each morpheme group.

Additionally, process S220 categorizes the morpheme groups based on the arrangement order of the plurality of morpheme groups.

Additionally, process S400 includes a process of extracting only data about the manufacturer from the search result data.

According to one embodiment of the present invention, a manufacturer search result providing device includes a receiver that receives user search information and company information for a plurality of manufacturers; a first processor that acquires context information corresponding to the user's search intention based on the search information; a second processor that generates a comparison ontology for comparison with the context information based on the company information; a list generator that generates a list in which a plurality of manufacturers are sorted in an order corresponding to the attributes of each manufacturer and the similarity order of the context information based on the context information and the comparison ontology; and a process transmitter for providing screen information including the list and information on each manufacturer included in the list to the user terminal.

In addition, it further includes a database that stores at least one of labeling data generated by labeling information collected from the manufacturer and public data containing information about the manufacturer, and the receiver receives the labeling data and the public data from the database. Receive at least one of

The manufacturer search device and method of the present invention were designed to solve the above-mentioned problems, and can provide only information about the manufacturer without noise.

In addition, the manufacturer search device and method of the present invention can intuitively convey more information about the manufacturer to the user by displaying information such as images of the manufacturer's already manufactured products on the user's screen along with the manufacturer list.

Figure 1 is a flowchart showing a method of providing manufacturer search results according to an embodiment of the present invention.
Figure 2 is a flowchart showing process S300 of a method for providing manufacturer search results according to an embodiment of the present invention.
Figure 3 is a table showing an exemplary calculation formula for a company's expertise score in the method for providing manufacturer search results according to an embodiment of the present invention.
Figure 4 is a flowchart specifically showing a method of providing manufacturer search results according to an embodiment of the present invention.
Figure 5 is a block diagram schematically showing the configuration of a manufacturer search result providing device according to an embodiment of the present invention.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments invented below and will be implemented in various different forms, but the present embodiments only ensure that the invention is complete and are based on common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Accordingly, in some embodiments, well-known process steps, well-known device structures, and well-known techniques are not specifically described to avoid ambiguous interpretation of the present invention. Like reference numerals refer to like elements throughout the specification.

In this specification, terms such as first, second, and third may be used to describe various components, but these components are not limited by the terms. The above terms are used for the purpose of distinguishing one component from other components. For example, without departing from the scope of the present invention, a first component may be named a second or third component, etc., and similarly, the second or third component may also be named alternately.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings that can be commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless clearly specifically defined.

Hereinafter, a method of providing manufacturer search results according to an embodiment of the present invention will be described with reference to the drawings.

Although operations are shown in a particular order in some of the drawings of the present disclosure, it should not be understood that the operations must be performed in the specific order shown, or in sequential order, or that all of the illustrated operations must be executed to obtain the desired results. Can not be done. The method of providing manufacturer search results may be performed by at least one processor.

Figure 1 is a flowchart showing a method of providing manufacturer search results according to an embodiment of the present invention.

Referring to FIG. 1, a method of providing manufacturer search results according to an embodiment of the present invention may be initiated by receiving search information by a user (S100). The user can input search information using the user terminal. Here, the search information entered by the user may include at least one of language information and image information.

Afterwards, context information corresponding to the user's search intention can be generated based on the search information (S200). Contextual information may include, for example, whether the user is looking for a manufacturer with a specific unique name, the type of product the user wants to manufacture, and information about the location of the product the user wants to manufacture. The search information may include information about the manufacturer's expertise conditions and/or information about the manufacturer's size conditions.

If the search information includes image information, text information displayed in the image can be extracted in process S200. Additionally, when image information tagged with text information is input, only the text information can be extracted. However, when the search information is image information, this process does not necessarily have to be performed.

In process S300, company information for multiple manufacturers is collected. In the drawing, process S100 and process S200 are shown before process S300, but process S300 may be performed simultaneously with process S100 and process S200 or may be performed before process S100.

Figure 2 is a flowchart showing process S300 of a method for providing manufacturer search results according to an embodiment of the present invention. Each process in FIG. 2 is shown in a specific order, but this order does not have to be satisfied, and each process may be performed simultaneously or may be performed in a different order from the shown order. Referring to Figure 2, public data stored in the database can be called in process S300 (S310). Here, public data refers to data created, acquired, and managed by public institutions for purposes specified in laws and regulations. Since public data includes information researched by public institutions, it generally contains information that is more consistent with actual facts than information uploaded online, so using public data can provide search results that match the facts.

In process S300, search result data for search information from an external server may be received (S320). Search result data may include, for example, information output by entering search information on an Internet portal site. In other words, you can utilize search results provided by an external server. Search result data may include the manufacturer's URL. However, search result data may often include the URL of an advertising site rather than the manufacturer's URL. In order to exclude these URLs from search result data, if the URL of the search result data includes specific text such as 'blog', 'naver', or 'daum', a process can be performed to exclude the URL information.

In process S300, the crawling bot may receive mining data collected from the website (S330). Here, a website refers to a site provided by the manufacturer. Mining data collected from a website by a crawlbot may be, but is not limited to, text data, and mining data may also include image data.

In process S300, labeling data corresponding to the manufacturer's attributes may be generated based on the portfolio of at least one manufacturer and stored in a database (S341), and the labeling data may be retrieved from the database (S342). The manufacturer's portfolio may be obtained from the above-mentioned public data, search result data, or mining data, but is not limited thereto, and may be data provided directly from the manufacturer or collected directly by the provider of the present invention. In process S341, for example, a portfolio in the form of an image may be labeled with text information about a manufactured product of a manufacturer or a material that can be applied to the manufactured product as information obtained from the portfolio.

According to one embodiment of the present invention, the amount of searchable information can be expanded by collecting company information from various sources. In addition, since public data, labeling data, etc. are generated by the provider or public institution of this search result provision method, search results with higher reliability can be provided according to an embodiment of the present invention.

After process S300, a comparison ontology for comparison with context information can be created based on company information (S400). Process S400 may include a process of extracting only data about the manufacturer from search result data. In other words, it may include a process of removing data that is not related to the manufacturer from search result data. For example, if the URL of the search result data includes specific text such as 'blog', 'naver', or 'daum', the URL information can be excluded.

After process S400, a list is created in which a plurality of manufacturers are sorted in an order corresponding to the similarity order of each manufacturer's attributes and context information based on the context information and comparison ontology (S500). In this process, a similarity score corresponding to the similarity between information about each manufacturer and context information can be calculated. However, in process S400, the process of calculating the similarity score is not necessarily performed. In the list of process S500, manufacturers may be listed in order of high similarity to the context information.

If the search information is image information, images similar to the image information of the search information can be searched among company information in process S500. An external server may perform this search, and the search results of the external server may be provided from the external server. For example, you can search for image information similar to image information included in the search information on the Google image search server and receive search results obtained by the Google image search server.

If the search information includes information about the manufacturer's expertise conditions and/or information about the manufacturer's scale conditions, in process S500, an expertise score corresponding to the manufacturers' expertise and/or a scale score corresponding to the manufacturer's scale is calculated; , the listing order of companies can be determined based on expertise score and/or size score.

The expertise score of an arbitrary manufacturer is, for example, 'a score determined based on the similarity between the manufacturer's name and context information,' 'a score corresponding to the manufacturer's years of service provision,' and 'a score corresponding to the similarity between labeling data and context information.' It can be obtained by adding up the ‘score’ and ‘the score corresponding to the number of times it has been certified by users or public institutions.’ The weight of each sub-score can be modified based on the user's satisfaction.

If a 'score corresponding to the similarity between the labeling data and the context information' is calculated based solely on the number of similar pieces of context information among the labeling data, a manufacturer who displays various keywords in the portfolio to increase the number of exposures to search engines for advertising purposes only If so, the expertise score of such a manufacturer is bound to be high.

Therefore, in order to correct the expertise score of the manufacturer who indiscriminately inserted keywords into the portfolio, the score corresponding to the similarity between the labeling data and the context information is, for example, '(the number of items similar to the context information among the manufacturer's labeling data). + Number of labeling data for the manufacturer's specialty that is similar to context information) / (Number of labeling data for the manufacturer + Number of labeling data for the manufacturer's specialty)'.

Figure 3(a) is a table showing an exemplary calculation formula for the expertise score of a company 7 years after establishment.

Figure 3(b) is a table showing an exemplary calculation formula for the expertise score of a company less than 7 years after establishment.

In the example of Figure 3, applying a different calculation formula for the scale score based on 7 years after the establishment of the company (manufacturer) reflects the tendency for the government's support scale to expand starting 7 years after the establishment of the company. The starting point is illustrative, and the starting point from which the calculation formula changes is not limited to 7 years after the company was founded. In order to apply the calculation formula of Figure 6, the comparative ontology extracted in process S400 includes information on the number of employees and sales of the manufacturer, and in process S500, a list is created based on the information on the number of employees and sales of the manufacturer. can do. In Figure 3, sales is a value corresponding to the manufacturer's sales amount. According to the calculation formula for the expertise score according to an embodiment of the present invention, even if the legend of company information provided by each manufacturer is different, for example, even if one manufacturer provides information on the number of employees and another manufacturer only provides sales information, the manufacturer Their scale scores can be calculated and compared. If the manufacturer's founding year is unknown when calculating the size score, it can be assumed that 7 years have passed since the manufacturer was founded.

Afterwards, a screen containing the list and information on each manufacturer included in the list is provided to the user terminal (S600). The manufacturer's information provided in process S600 may be processed from the company information collected in process S300. Information on each manufacturer displayed on the screen provided in process S600 may include at least one of an image of a product already manufactured by each manufacturer and an image of the manufacturer's homepage. Users can intuitively understand each manufacturer's information through these images. To this end, the process of extracting images of products already manufactured by each manufacturer from company information may be preceded.

In process S600, if both stored data and search result data containing information about a certain manufacturer exist, only the contents of the stored data about that manufacturer can be displayed on the screen of the user terminal. This is because the content of the saved data is more likely to match reality than the content of the search result data.

Figure 4 is a flowchart specifically showing a method of providing manufacturer search results according to an embodiment of the present invention.

Referring to FIG. 4, the method of providing manufacturer search results may begin with inputting search information by the user (S100). The method of providing search results for a manufacturer may be initiated, for example, by the user entering the search term 'Handsome Handsome Precision' (S100). In process S100, search term information entered by the user using the user terminal may be received by a processor that performs a method of providing manufacturer search results.

In process S200, when the search information includes language information, the morphemes of the search information can be separated into semantic units (S210), and each morpheme group separated in process S210 can be categorized (S220). For example, if the search information is 'handsome handsome precision', the search information can be separated into two morpheme groups of 'handsome handsomeness' and 'precision' in process S210. In process S220, the category of 'Handsomeness' can be classified as information on the company's unique name, and the category of 'Precision' can be classified as information on the service provided (or information on the manufactured product). Here, each morpheme group and the category information of each morpheme group may be understood as part of context information.

In process S220, morpheme groups can be categorized based on the arrangement order of the morpheme groups. For example, if you know that 'precision' belongs to the service category provided, it can be determined that 'handsome and handsome' arranged in front of 'precision' is the company's unique name.

Afterwards, company information is collected in process S300 and process S400, and comparative ontology is extracted from the collected company information. Thereafter, in process S500, the listing order of the plurality of manufacturers is determined by considering the categories of each morpheme group. For example, if the category of the first morphological subgroup is a company's unique name and the category of the second morphological subgroup is a manufactured product, a manufacturer that produces the same manufactured product and has the same company's unique name, and a company with company information that matches the first morphological subgroup, Manufacturers and companies producing manufactured goods of the second type subgroup can be listed sequentially.

Process of the Example In S500, a sequential list of manufacturers with the unique name 'Handsome Handiness' and whose services are related to 'precision machining', manufacturers with company information called 'Handsome Handiness', and manufacturers whose services include precision machining. can be created. If there is company information with the company's unique name 'Handsome Hanseong Precision', 'Handsome Hanseong Precision' may be placed at the top of the list.

Afterwards, a screen including the list of step S500 and information on each manufacturer included in the list is provided to the user terminal (S600).

Figure 5 is a block diagram schematically showing the configuration of the manufacturer search result providing device 100 according to an embodiment of the present invention.

Referring to FIG. 5, the manufacturer search result providing device 100 according to an embodiment of the present invention includes a crawling bot 110, a database 120, a receiver 130, a first processor 140, and a second processor. It may include all or part of (150), list generator 160, screen information generator 170, and transmitter 180.

The crawling bot 110 is configured to obtain mining data that converts information provided by the manufacturer's website 30 into text. The crawling bot 110 may transmit the acquired mining data to the and/database 120 or the receiver 130.

The database 120 may store at least one of public data containing information about the manufacturer and labeling data generated by labeling information collected from the manufacturer. In addition, the database 120 can store mining data collected from the manufacturer's website. The search result providing device 100 according to an embodiment of the present invention can provide more reliable search results by using at least one of public data and labeling data to form search results.

The receiver 130 receives user search information and company information about a plurality of manufacturers. The receiver 130 may receive at least one of labeling data and public data from the database 120. The receiver 130 may receive search information entered by the user using the user terminal 10. The receiver 130 may receive company information about the company's attributes from the crawling bot 110, the database 120, or the external server 20. Here, the external server 20 may be a server that provides a search engine service.

The first processor 140 obtains context information corresponding to the user's search intention based on the search information. The second processor 150 generates a comparative ontology for comparison with context information based on company information.

The list generator 160 may generate a list in which a plurality of manufacturers are sorted in an order corresponding to the similarity order of each manufacturer's attributes and context information based on the context information and comparison ontology. The list generator 160 may include a similarity score calculator that calculates for each manufacturer a similarity score corresponding to the similarity between the context information and the attributes of the plurality of manufacturers based on the context information and comparison ontology. The screen information generator 170 generates screen information including the list and information about each manufacturer included in the list. The transmitter 180 provides screen information generated by the screen information generator 170 to the user terminal 10.

The user terminal 10 receives the screen information transmitted by the transmitter 180 and displays a screen including the list generated by the list generator 160 and information on each manufacturer included therein. Here, the manufacturer's information displayed on the screen may include at least one of an image of a pre-manufactured product and an image of the manufacturer's homepage. Users can intuitively understand each manufacturer's information through these images.

The above-described method and/or various embodiments may be implemented with digital electronic circuitry, computer hardware, firmware, software, and/or combinations thereof. Various embodiments of the present invention are executed by a data processing device, for example, one or more programmable processors and/or one or more computing devices, or as a computer program stored in a computer-readable recording medium and/or a computer-readable recording medium. It can be implemented. The above-described computer program may be written in any form of programming language, including compiled language or interpreted language, and may be distributed in any form such as a stand-alone program, module, or subroutine. A computer program may be distributed via a single computing device, multiple computing devices connected through the same network, and/or multiple computing devices distributed so as to connect through multiple different networks.

The above-described method and/or various embodiments may include one or more processors configured to execute one or more computer programs that process, store, and/or manage certain functions, functions, etc., by operating on input data or generating output data. It can be performed by . For example, the method and/or various embodiments of the present invention may be performed by special purpose logic circuits such as a Field Programmable Gate Array (FPGA) or Application Specific Integrated Circuit (ASIC), and the method and/or various embodiments of the present invention may An apparatus and/or system for performing embodiments may be implemented as a special purpose logic circuit, such as an FPGA or ASIC.

The one or more processors executing the computer program may include a general purpose or special purpose microprocessor and/or one or more processors in any type of digital computing device. The processor may receive instructions and/or data from each of read-only memory and random access memory, or may receive instructions and/or data from read-only memory and random access memory. In the present invention, components of a computing device performing methods and/or embodiments may include one or more processors for executing instructions and one or more memory devices for storing instructions and/or data.

According to one embodiment, a computing device may exchange data with one or more mass storage devices for storing data. For example, a computing device can receive/receive data from a magnetic disc or an optical disc and transmit data to the magnetic or optical disc. Computer-readable storage media suitable for storing instructions and/or data associated with a computer program include semiconductor memory devices such as EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable PROM), and flash memory devices. It may include, but is not limited to, any form of non-volatile memory. For example, computer-readable storage media may include magnetic disks such as internal hard disks or removable disks, magneto-optical disks, CD-ROM, and DVD-ROM disks.

To provide interaction with a user, the computing device may include a display device (e.g., cathode ray tube (CRT), liquid crystal display (LCD), etc.) for presenting or displaying information to the user and a display device (e.g., cathode ray tube (CRT), liquid crystal display (LCD), etc.) for providing or displaying information to the user. It may include, but is not limited to, a pointing device (e.g., keyboard, mouse, trackball, etc.) capable of providing input and/or commands. That is, the computing device may further include any other types of devices for providing interaction with the user. For example, a computing device may provide any form of sensory feedback to a user for interaction with the user, including visual feedback, auditory feedback, and/or tactile feedback. In response, the user can provide input to the computing device through various gestures such as sight, voice, and movement.

In the present invention, various embodiments may be implemented in a computing system that includes a back-end component (e.g., a data server), a middleware component (e.g., an application server), and/or a front-end component. In this case, the components may be interconnected by any form or medium of digital data communication, such as a communications network. For example, a communication network may include a Local Area Network (LAN), a Wide Area Network (WAN), etc.

Computing devices based on example embodiments described herein may be implemented using hardware and/or software configured to interact with a user, including a user device, user interface (UI) device, user terminal, or client device. You can. For example, a computing device may include a portable computing device, such as a laptop computer. Additionally or alternatively, computing devices include personal digital assistants (PDAs), tablet PCs, game consoles, wearable devices, internet of things (IoT) devices, virtual reality (VR) devices, AR (augmented reality) devices, etc. may be included, but are not limited thereto. Computing devices may further include other types of devices configured to interact with a user. Additionally, the computing device may include a portable communication device (eg, a mobile phone, smart phone, wireless cellular phone, etc.) suitable for wireless communication over a network, such as a mobile communication network. The computing device may wirelessly connect to a network server using wireless communication technologies and/or protocols, such as radio frequency (RF), microwave frequency (MWF), and/or infrared ray frequency (IRF). It can be configured to communicate with.

10: User terminal
20: External server
30: Manufacturer website
110: Crawling bot
120: database
130: receiver
140: first processor
150: second processor
160: List generator
170: Screen information generator
180: Transmitter

Claims (10)

Process of receiving search information by the user (S100);
A process of generating context information corresponding to the user's search intention based on the search information (S200);
Process of collecting company information for multiple manufacturers (S300);
A process of generating a comparison ontology for comparison with the context information based on the company information (S400);
A process of generating a list in which a plurality of manufacturers are sorted in an order corresponding to the attributes of each manufacturer and the similarity order of the context information based on the context information and the comparative ontology (S500); and
A process of providing a screen containing the list and information on each manufacturer included in the list to the user terminal (S600)
Method of providing manufacturer search results including. According to paragraph 1,
The search information is a method of providing manufacturer search results including image data. According to paragraph 1,
In the above process S300,
Process of retrieving public data stored in the database (S310)
Method of providing manufacturer search results including. According to paragraph 1,
In the above process S300,
A method of providing search results for a manufacturer including a process (S320) of receiving search result data for the search information from an external server. According to paragraph 1,
In the above process S300,
A method of providing search results for manufacturers, including the process of receiving mining data collected from a website by a crawling bot (S330). According to paragraph 1,
In the above process S300,
A process of generating labeling data corresponding to the attributes of the manufacturer based on the portfolio of at least one manufacturer and storing it in a database (S341); and
Process of loading the labeling data from the database (S342)
Method of providing manufacturer search results including. According to paragraph 1,
In the above process S200,
When the search information includes language information, a process of separating morphemes of the search information into meaning units (S210); and
Including a process (S220) of categorizing each morpheme group separated in the process S210,
In the process S500,
A method of producing a manufacturer search result that determines the listing order of the plurality of manufacturers by considering the categories of each of the morpheme groups. In clause 7,
In process S220,
A method of providing manufacturer search results that categorizes the morpheme groups based on the arrangement order of the plurality of morpheme groups. According to paragraph 4,
The process S400 is a method of providing search results for a manufacturer including extracting only data about the manufacturer from the search result data. A receiver that receives user search information and company information about a plurality of manufacturers;
a first processor that generates context information corresponding to the user's search intention based on the search information;
a second processor that generates a comparison ontology for comparison with the context information based on the company information;
a list generator that generates a list in which a plurality of manufacturers are sorted in an order corresponding to the attributes of each manufacturer and the similarity order of the context information based on the context information and the comparison ontology; and
a screen information generator that generates screen information including the list and information on each manufacturer included in the list; and
Process transmitter for providing the screen information to the user terminal
Manufacturer search result provision device including.