WO2024042903A1 - Information providing device and information providing system - Google Patents

Abstract

This information providing device for analyzing an access history of an electronic marketplace includes a new area analyzing unit for analyzing product information in which information relating to products is set in advance, user information in which information relating to a user is set in advance, access history information relating to the user, and access history information, wherein the new area analyzing unit: accepts an analysis target product, and items to be set as search variables (tag#1, tag#2 and tag#3); sets a value of the analysis target product from the product information to the item set as tag#1; sets a value of the user information from the information relating to the user contained in the access history information to the item set as tag#2; extracts, from the access history information, data for which tag#1 and tag#2 match, and calculates a number of accesses for each value of the item set as tag#3; and outputs the value of the item for which the number of accesses is equal to or less than a predetermined threshold as a new development area.

Description

Information provision device and information provision system Import by reference

This application claims priority to Japanese Patent Application No. 2022-132553, which was filed on August 23, 2022, and its contents are incorporated into this application by reference.

The present invention relates to an information providing device and an information providing system that analyze access history in an electronic market.

In electronic marketplaces such as electronic malls and portals, services are provided to obtain information on customer (user) access to products and services and provide sellers with statistical information such as trends in the number of accesses and user attributes. . Additionally, a service for encouraging users who have accessed the site to make purchases is also known.

For example, Patent Document 1 discloses a technology that proposes appropriate services (such as suggestions for improving search keywords for products) to sellers based on a user's search behavior for products.

Japanese Patent Application Publication No. 2018-156336

However, in the conventional example described above, there is a problem in that only known information, information on existing business areas, or existing customers can be obtained, and new sales channels cannot be suggested to sellers.

For example, in an electronic marketplace that provides solutions, the owner (seller) of the solution presents preset industry types, issues, and solutions for each solution. Integrators, who are users (customers), search and access solutions to solve their own problems. In such an electronic market, it is difficult to acquire new users and business areas even if the above-mentioned conventional techniques are applied.

Therefore, the present invention has been made in view of the above problems, and an object of the present invention is to extract users with new attributes from among the users who accessed the electronic market and present them to the owner on the selling side.

The present invention is an information providing device that has a processor and a memory and analyzes the access history of an electronic market, and includes product information in which information on products offered in the electronic market is set in advance and product information of users who use the electronic market. The new area analysis unit includes user information in which information is set in advance, access history information that stores a history of the user's access to the product information, and a new area analysis unit that analyzes the access history information. accepts the product to be analyzed, accepts the items to be set in tag #1, tag #2, and tag #3 as search variables, and inputs the item from the product information into the item set in tag #1. Set the value of the product to be analyzed, set the value of the user information from the user information included in the access history information in the item set for the tag #2, and set the value of the user information from the user information included in the access history information. Extract matching data from the access history information, calculate the number of accesses for each value of the item set in the tag #3 for the extracted data, and calculate the value of the item for which the number of accesses is less than or equal to a predetermined threshold. Output as a new development area.

Therefore, the present invention can extract users with new attributes from among the users who have accessed the electronic market, and present them to the seller-side owner as a new customer area. This makes it possible for the seller owner to consider proposals for users with new attributes, thereby increasing the number of customers.

The details of at least one implementation of the subject matter disclosed herein are set forth in the accompanying drawings and the description below. Other features, aspects, and advantages of the disclosed subject matter will be apparent from the following disclosure, drawings, and claims.

1 is a diagram illustrating a first embodiment of the present invention and illustrating an example of a function of an information providing system for an electronic market. 1 is a diagram illustrating a first embodiment of the present invention and illustrating an example of the configuration of an analysis server. FIG. 1 is a diagram illustrating an example of product information of an application/service server according to a first embodiment of the present invention; FIG. FIG. 1 is a diagram showing an example of access history information of an application/service server according to the first embodiment of the present invention. FIG. 1 is a diagram showing an example of user information of an application/service server according to the first embodiment of the present invention. FIG. 1 is a diagram showing an example of business similarity information of an analysis server according to the first embodiment of the present invention. FIG. 2 is a diagram illustrating Example 1 of the present invention and illustrating an example of task similarity information of an analysis server. FIG. 2 is a diagram illustrating Example 1 of the present invention and illustrating an example of solution similarity information of an analysis server. FIG. 1 is a diagram showing an example of an analysis table of an analysis server according to a first embodiment of the present invention. FIG. 1 is a diagram illustrating a first embodiment of the present invention and an example of a combination pattern of tags to be searched. 1 is a flowchart illustrating a first embodiment of the present invention and illustrating an example of processing performed by an analysis server. Embodiment 1 of the present invention is shown, and it is a graph of the analysis result of the number of accesses by industry. 12 is a flowchart illustrating a second embodiment of the present invention and illustrating an example of processing performed by an analysis server. Example 2 of the present invention is shown, and it is a graph of the analysis result of the number of accesses by industry. 12 is a flowchart illustrating a third embodiment of the present invention and illustrating an example of processing performed by an analysis server. It is a graph showing Example 3 of the present invention and showing the relationship between the number of cases and tag #3. 12 is a flowchart illustrating a fourth embodiment of the present invention and illustrating an example of processing performed by an analysis server. FIG. 1 is a sequence diagram illustrating an example of processing performed in an electronic market information providing system according to a first embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described based on the accompanying drawings.

FIG. 1 is a block diagram illustrating a first embodiment of the present invention and illustrating an example of the functions of an information providing system for an electronic market. The information provision system of this embodiment is a portal site 1 that provides solutions as an electronic market, and analyzes the access history of users (integrators) who have accessed the portal site 1 to identify users with new attributes to new sales channels (integrators). An example of presenting this to the owner as a business area) is shown below.

The portal site 1 is connected via the Internet 3 to a user terminal 4 used by a user and an owner terminal 5 used by an owner who is a solution provider. Portal site 1 includes a web server 11 that provides a portal screen 12 in response to access from user terminal 4, and an application/service server 10 that manages information that web server 11 provides to user terminal 4 or owner terminal 5. .

The application/service server 10 is connected to the analysis server 2 via the network 6. The analysis server 2 analyzes the access history (or search history) of the user terminal 4 accumulated in the portal site 1, extracts new users with attributes different from those assumed by the solution owner, and returns the user terminal to the owner terminal. 5 as a new customer area.

Although FIG. 1 shows an example in which the analysis server 2 is placed outside the portal site 1, the analysis server 2 is not limited to this, and the analysis server 2 may be placed inside the portal site 1. The service server 10 may include the functions of the analysis server 2.

The application/service server 10 operates a service control unit 13 that manages the portal screen 12 and executes search requests. The service control unit 13 cooperates with a catalog management unit 14 that manages product information 17, a user management unit 15 that manages user information 18, and an access history management unit 16 that collects access history information 19 of user terminals 4.

The analysis server 2 acquires access history information 19, product information 17, and user information 18 from the application/service server 10, generates an analysis table 70, and analyzes the analysis table 70 to generate new information as described below. Extract users or business areas with specific attributes.

The analysis server 2 holds preset industry type similarity information 40, solution similarity information 60, and task similarity information 50, which are used during analysis as described later. Furthermore, the analysis server 2 accesses news releases 80 and patent information 90 that have been collected from outside in advance, and utilizes them during analysis as will be described later. Note that the news release 80 and patent information 90 may be held by an external computer, or may be collected and held by the analysis server 2.

FIG. 2 is a block diagram showing an example of the configuration of the analysis server 2. The analysis server 2 is a computer including a processor 21, a memory 22, a storage device 23, an input/output device 24, and a communication interface 25.

The new area analysis unit 30 is loaded as a program into the memory 22 and executed by the processor 21. The processor 21 operates as a functional unit that provides predetermined functions by processing according to the programs of each functional unit.

For example, the processor 21 functions as the new area analysis section 30 by processing according to the new area analysis program. The same applies to other programs. Furthermore, the processor 21 also operates as a functional unit that provides functions for each of the plurality of processes executed by each program. A computer and a computer system are devices and systems that include these functional units.

The storage device 23 is composed of a non-volatile storage medium and stores data used by the new area analysis unit 30. The storage device 23 stores industry similarity information 40, solution similarity information 60, task similarity information 50, analysis table 70, news release 80, and patent information 90. Note that the contents of the various information will be described later.

The input/output device 24 includes an input device such as a mouse, a keyboard, or a touch panel, and an output device such as a display. Communication interface 25 is connected to network 6 and communicates with application/service server 10 .

The application/service server 10, the web server 11, the user terminal 4, and the owner terminal 5 are not shown, but are configured with computers similar to the analysis server 2 in FIG. 2.

FIG. 3 is a diagram showing an example of product information 17 of the application/service server 10. The product information 17 is information set in advance from the owner terminal 5 or the like. The product information 17 includes a solution ID 171, a solution name 172, an owner name 173, an industry type 174, a problem 175, and a solution 176 in one record.

In this embodiment, since the product traded in the electronic market is a solution, the solution ID 171 stores an identifier for identifying the solution. The solution name 172 stores the product name (or service name) of the solution.

The owner name 173 stores the name of the owner (seller) who provides the solution. The industry type 174 stores the industry type to which the solution is applied. The industry type 174 can be selected in advance by the owner or the like from industry candidates defined by the service provider in advance, and a plurality of industry types can be set.

The problem 175 stores problems or objectives that can be solved by a solution. This task 175 can be selected in advance by the owner or the like from among the task or goal candidates defined in advance by the service provider, and a plurality of tasks can be set. The solution 176 stores the functions and processing contents provided by the solution in order to solve the problem 175. This solution 176 can be selected in advance by the owner or the like from solution candidates defined in advance by the service provider, and a plurality of solutions can be set.

When the application/service server 10 receives a search request from the user terminal 4, it searches for records that match or are similar to the keywords input from the industry 174, problem 175, solution 176, etc., and selects the hit records as search results. Output to the portal screen 12.

On the user terminal 4, it is possible to select a desired solution from the search results and access more detailed information. Although not shown, the application/service server 10 can provide and purchase various contents for each solution.

FIG. 4 is a diagram showing an example of the access history information 19 of the application/service server 10. The access history information 19 is log information generated by the service control unit 13 of the application/service server 10. The access history information 19 includes a time stamp 191, a solution ID 192, and an integrator ID 193 in one record.

The time stamp 191 stores the date and time when access was executed based on a request from the user terminal 4. Solution ID 192 stores the identifier of the accessed solution. The integrator ID 193 stores the identifier of the integrator that has requested access from the user terminal 4.

Note that the access history information 19 can include the history of solutions accessed by the user terminal 4 from among a plurality of search results. In addition, since the user terminal 4 that uses the portal site 1 logs in using a preset integrator ID and authentication information, the application/service server 10 identifies the user (integrator) of the user terminal 4 making the access. can do.

FIG. 5 is a diagram showing an example of the user information 18 of the application/service server 10. The user information 18 is information set in advance from the user terminal 4 or the like. The user information 18 includes an integrator ID 181, an integrator name 182, a customer business industry 183, a customer problem 184, and a solution under consideration 185 in one record.

The integrator ID 181 stores the identifier of the integrator (user) who uses the portal site 1. The integrator name 182 stores the name of the integrator. The customer business industry 183 stores the industry handled by the integrator. Note that the customer business industry 183 can store a plurality of industries.

The customer issues 184 store issues that are issues in the integrator's business. The solution under consideration 185 stores a solution that the integrator is considering for the customer issue 184.

When the integrator solves a problem or changes the solution under consideration 185, the user information 18 can be updated using the user terminal 4.

FIG. 6 is a diagram showing an example of industry type similarity information 40 set in advance. The industry type similarity information 40 is held in the analysis server 2. The industry similarity information 40 includes industry tag 1 (41), industry tag 2 (42), and similarity 43 in one record.

The industry tag 1 (41) is set to the industry 174 of the product information 17, the industry tag 2 (42) is set to the customer business industry 183 of the user information 18, and the similarity 43 is set to the industry tag 1 (41). ) and industry tag 2 (42) calculated using a method such as thesaurus or Word2Vec. Note that the calculation of the similarity degree 43 is not limited to the thesaurus, Word2Vec, etc., and any well-known or well-known technique for calculating the similarity between words can be applied.

For industry tag 1 (41) and industry tag 2 (42), all combinations of industry 174 of product information 17 and customer business industry 183 of user information 18 are set.

FIG. 7 is a diagram showing an example of preset task similarity information 50. The task similarity information 50 is held by the analysis server 2. Assignment similarity information 50 includes assignment tag 1 (51), assignment tag 2 (52), and similarity 53 in one record.

Issue tag 1 (51) and issue tag 2 (52) store issue 175 of product information 17 and customer issue 184 of user information 18, and similarity 53 indicates that issue tag 1 (51) and issue tag 2 (52) is stored using a method such as a thesaurus or Word2Vec. Note that the calculation of the similarity degree 53 is not limited to the thesaurus, Word2Vec, etc., and any well-known or well-known technique for calculating the similarity of words or sentences can be applied.

Assignment tag 1 (51) and assignment tag 2 (52), all combinations of assignment 175 of product information 17 and customer assignment 184 of user information 18 are set.

FIG. 8 is a diagram showing an example of solution similarity information 60 set in advance. The solution similarity information 60 is held by the analysis server 2. Solution similarity information 60 includes solution tag 1 (61), solution tag 2 (62), and similarity 63 in one record.

Solution tag 1 (61) and solution tag 2 (62) store solution 176 for product information 17 and solution under consideration 185 for user information 18, and similarity 63 indicates that solution tag 1 ( 61) and solution tag 2 (62) calculated using a method such as thesaurus or Word2Vec. Note that calculation of the similarity degree 63 is not limited to the thesaurus, Word2Vec, etc., and any well-known or well-known technique for calculating the similarity of words or sentences can be applied.

The solution tag 1 (61) and the solution tag 2 (62) are set with all combinations of the solution 176 of the product information 17 and the solution under consideration 185 of the user information 18.

FIG. 9 is a diagram showing an example of the analysis table 70 generated by the analysis server 2. The illustrated example shows a case where solution A is the analysis target. The analysis table 70 is information that combines the access history information 19 for the solution to be analyzed and the user information 18 of the integrator that performed the access.

The analysis table 70 includes a time stamp 71, a solution ID 72, an integrator ID 73, a customer business industry 74, a customer issue 75, and a solution under consideration 76 in one record.

The timestamp 71 is the content of the timestamp 191 of the access history information 19. The solution ID 72 is the content of the solution ID 192 of the access history information 19. The integrator ID 73 is the content of the integrator ID 193 of the access history information 19. The customer business industry 74 is the content of the customer business industry 183 of the user information 18 . The customer issue 75 is the content of the customer issue 184 of the user information 18. The solution under consideration 76 is the content of the solution under consideration 185 in the user information 18 .

FIG. 10 is a diagram showing an example of settings for tags #1, #2, and #3 used as variables in the analysis process performed by the analysis server 2. In this example, when performing analysis for each solution, the analysis process is executed by substituting the value of the field of product information 17 or user information 18 set in advance to three variables, tags #1, #2, and #3. do.

As shown in the figure, six types of field patterns are assumed to be set in tags #1, #2, and #3: patterns #1 to #6. When performing an analysis, the user of the analysis server 2 selects any one of patterns #1 to #6 and performs the analysis.

The fields that can be set for tags #1 to #3 are shown below.
・Industry (solution attribute) = Industry 174 (product information 17)
・Issue (solution attribute) = Issue 175 (product information 17)
・Solution (solution attribute) = Solution 176 (product information 17)
・Customer business industry (integrator attribute) = Customer business industry 183 (user information 18)
・Customer issue (integrator attribute) = Customer issue 184 (user information 18)
- Solution under consideration (integrator attribute) = Solution under consideration 185 (user information 18)

This example shows an example using the illustrated pattern #1, in which issue 175 (product information 17) is set to tag #1, customer issue 184 (user information 18) is set to tag #2, and tag #3 is set to issue 175 (product information 17). The customer business industry 183 (user information 18) is set.

FIG. 18 is a sequence diagram showing an example of processing performed in the electronic market information providing system. The owner who provides the solution transmits a registration request including product information 17 from the owner terminal 5 to the portal site 1 (S101). The application/service server 10 of the portal site 1 receives the registration request, registers the solution in the product information 17, and provides the information on the portal site 1 (S102).

An integrator who is a user of the portal site 1 searches for a solution from the user terminal 4 (S103) and accesses information on the solution to be considered (S104).

The application/service server 10 of the portal site 1 receives the access from the user terminal 4, and stores information regarding the access of the user terminal 4 in the access history information 19 (S105).

Next, in steps S106 to S109, the analysis server 2 starts the processing of the new area analysis unit 30 at a predetermined timing such as a user's instruction. First, the new area analysis unit 30 acquires the access history information 19 of the solution to be analyzed (S106).

The new area analysis unit 30 acquires the user terminal 4 using the integrator ID of the access history information 19, combines the access history from the access history information 19 and the user information 18 to generate an analysis table 70, and calculates the access history. is analyzed and the access history is extracted using a pre-selected variable pattern (pattern #1) (S107).

Then, when the variable pattern is pattern #1, the new area analysis unit 30 extracts the customer business industry 74 with a small number of accesses from the extracted access history as a new development area (S108). The analysis server 2 transmits the extracted new development area to the owner terminal 5 via the portal site 1 (109).

At the owner terminal 5 that receives the new development area, the owner who provides the solution considers the content of the solution so that it corresponds to an industry that was not envisioned at the beginning of providing the solution (S110).

The owner reconfigures the contents posted on the portal site 1 by adding solutions for new development areas, and requests the portal site 1 to update the registered contents of the solutions (S111).

The portal site 1 receives the update of registered contents from the owner terminal 5, updates the product information 17, and posts the reconfigured contents (S112).

FIG. 11 is a flowchart illustrating an example of processing performed by the new area analysis unit 30 of the analysis server 2. This process is started in response to a command from a user of the analysis server 2 or the like.

First, before starting the analysis process, the user of the analysis server 2 specifies the solution to be analyzed and the variable patterns of tags #1 to #3 from the input/output device 24. For example, the user specifies solution A as the analysis target and pattern #1 as the variable pattern from the input/output device 24, and the new area analysis unit 30 receives solution A and pattern #1 as the analysis target (S1). . Note that the period of access history may be added as an analysis target.

Furthermore, any one of the problem 175, solution 176, and industry 174 of the product information 17 is set in tag #1. Any one of the customer issue 75, solution under consideration 76, and customer business industry 183 in the analysis table 70 is set in tag #2. One of the items that are not set in tag #2 among the customer issue 75, solution under consideration 76, and customer business industry 183 in the analysis table 70 is set in tag #3.

In the case of pattern #1, issue 175 of product information 17 (solution attribute) is set in tag #1, and customer issue 75 of analysis table 70 (integrator attribute = customer issue 184 of user information 18) is set in tag #2. is set, and the customer business industry 74 of the analysis table 70 is set in tag #3.

The new area analysis unit 30 inquires of the application/service server 10 whether the access history has been accumulated for the analysis target solution set in tag #1. If the access history of the solution to be analyzed exists, the process advances to step S3, and if it does not exist, the process advances to step S10.

In step S10, since the access history of the solution to be analyzed does not exist in the application/service server 10, the new area analysis unit 30 outputs to the input/output device 24 that the solution is not to be analyzed, and ends the process.

If the access history exists, in step S3, the new area analysis unit 30 acquires the access history information 19 of the solution to be analyzed from the application/service server 10 (S3).

The new area analysis unit 30 acquires the integrator ID 193 of the acquired access history information 19 and acquires the user information 18 corresponding to the integrator ID 193 from the application/service server 10. The new area analysis unit 30 then combines the user information 18 acquired from the application/service server 10 with the access history information 19 acquired in step S3 to generate an analysis table 70 (S4).

To generate the analysis table 70, as shown in FIG. 71, solution ID 72, and integrator ID 73. Next, the new area analysis unit 30 acquires the customer business industry 183, customer issue 184, and solution under consideration 185 from the user information 18 corresponding to the integrator ID 73, and obtains the customer business industry 74, customer issue 75, and solution under consideration from the analysis table 70. Set as solution under consideration 76.

Next, in step S5, the new area analysis unit 30 sets values (or items) to be analyzed in tags #1 to #3 according to the variable pattern (pattern #1) and extracts the access history from the analysis table 70.

In this embodiment, pattern #1 is selected, so the new area analysis unit 30 sets the value of issue 175 of product information 17 (solution attribute) in tag #1, and sets the analysis table in tag #2. 70 customer issue 75 (integrator attribute = customer issue 184 of user information 18), set the values of customer issue 75 sequentially from the top of the analysis table 70, and set tag #1 (issue 175 of product information 17). ) and tag #2 (customer issue 184 of user information 18) match records (access history) are extracted.

When the new area analysis unit 30 completes the comparison of tag #1 and tag #2 for all records in the analysis table 70, it determines whether there is an access history in which tag #1 and tag #2 match ( S6).

If there is an access history in which tag #1 and tag #2 (issue 175 and customer issue 75 (184)) match, the new area analysis unit 30 proceeds to step S7, and if there is no access history, proceeds to step S10. .

In step S7, since the item of tag #3 is the customer business industry 74 (customer business industry (integrator attribute)) in the analysis table 70, the access history extracted in step S5 is used as the value of the customer business industry 74 (industry ), and the extracted access history is sorted in descending order of the number of accesses.

In step S8, the new area analysis unit 30 extracts customer business industries 74 whose number of accesses is less than or equal to a predetermined threshold Th1 from the sorted access history. Then, in step S9, the new area analysis unit 30 notifies the owner terminal 5 of the customer business industry 74 whose number of accesses is less than or equal to the predetermined threshold Th1 as a new customer area.

Through the above processing, the new domain analysis unit 30 determines that the customer business industry in which the customer issue 75 of the analysis table 70 (customer issue 184 of the user information 18) matches the issue 175 of the product information 17 when the variable pattern is pattern #1. Among the 74, industries with a small number of accesses (below the threshold Th1) are extracted as new development areas (customer areas).

FIG. 12 is a graph showing an example of the analysis results performed by the new area analysis unit 30, and is a graph showing the relationship between the number of accesses by industry and the customer business industry 74 of tag #3.

In the access history of solution A to be analyzed, records with matching tag #1 and tag #2 include four industries: manufacturing, information and communications, finance/insurance, and medical/welfare. - When the number of accesses for the insurance, medical and welfare industries falls below the threshold Th1, it will be extracted as a new development area.

In this way, in this example, among the access histories where the problem of solution A set by the solution owner and the problem of the integrator match, the industry in which the number of accesses is less than or equal to the threshold Th1 is considered as an area for developing new customers. It will be possible to make proposals to the owners of

As a result, solution owners will be able to propose issues and solutions to industries that were not envisioned when the solution was first provided, and will be able to expand their customer base.

In the above embodiment, the analysis table 70 is generated by combining the access history information 19 including the solution to be analyzed and the user information 18 including information on users who have accessed the solution to be analyzed, and then the tag #1 is generated. Although an example has been shown in which a search is performed in which tag #2 matches, the present invention is not limited to this.

For example, without using the analysis table 70, the new area analysis unit 30 identifies the user from the integrator ID 193 of the access history information 19 that includes the solution to be analyzed, and acquires the item of tag #2 from the user information 18. The value of tag #1 can be compared using

FIG. 13 is a flowchart showing an example of processing performed by the analysis server 2. In the first embodiment, in step S8 of FIG. 11, an example is shown in which the industry type (tag #3) whose number of accesses is less than or equal to the threshold value Th1 is extracted as a new development area. This embodiment shows an example in which the similarity of the industry type (tag #3) is added to the process of step S8.

In this embodiment, step S8 shown in FIG. 11 of the first embodiment is changed to step S81, and the other configurations are the same as the first embodiment.

In step S81, the new area analysis unit 30 determines that among the access histories sorted in step S7, the similarity of the value of the tag #3 item (customer business industry 74) is low, and the number of accesses is less than or equal to a predetermined threshold Th1. The following industries will be identified as new areas for development. Note that data with a low degree of similarity is data whose degree of similarity is less than or equal to a predetermined threshold value Th2, or data which satisfies a predetermined condition such as from the lowest to a predetermined rank.

That is, the new area analysis unit 30 sorts the access histories in which tag #1 (issue 175 of product information 17) and tag #2 (customer issue 75 (184) of the analysis table 70) match in descending order of the number of accesses. Then, the similarity 43 of the customer business industry 74 to the industry 174 of the product information 17 is acquired from the industry similarity information 40, and the similarity 43 of the product information 17 to the industry 174 is low and the number of accesses is a predetermined threshold. 74 customer business industries below Th1 are extracted.

Note that the comparison target of similarity 43 is, for example, an example in which the industry type 174 (industry tag 1) of product information 17 and the customer business industry 183 (industry tag 2) of user information 18 have a low degree of similarity. However, as shown in FIG. 10, tags with low similarity may be extracted using tag #3 as a problem or a solution.

As a result of the above, the customer business industry 74 whose number of accesses is less than or equal to the predetermined threshold Th1 and whose similarity 43 in the industry similarity information 40 is low (satisfies a predetermined condition) is extracted as a new development area. As a result, among the industries that access Solution A to be analyzed, customers who are in a different industry (customer business industry 183 in user information 18) from the industry assumed by the owner (industry 174 in product information 17) and who access the solution A in a small number It is possible to develop 74 business industries as new customers.

FIG. 14 is a graph showing an example of the analysis results performed by the new area analysis unit 30, and is a graph showing the relationship between the number of accesses by industry and the customer business industry 74 of tag #3.

In the access history of solution A to be analyzed, records with matching tag #1 and tag #2 include four industries: manufacturing, information and communications, finance/insurance, and medical/welfare, and the industry similarity is 43. are arranged in the order of Among these, the number of accesses for finance/insurance and medical/welfare is less than the threshold Th1, so they are extracted as new areas for development.

In this way, in this example, among the access histories in which the problem of solution A set by the solution owner and the problem of the integrator match, the number of accesses is less than or equal to the threshold Th1 and the degree of similarity 43 is low (or if the predetermined condition is met) ) It becomes possible to propose the industry to the solution owner as an area to develop as a new customer.

FIG. 15 is a flowchart illustrating an example of processing performed by the analysis server 2. In the first embodiment, in step S8 of FIG. 11, an example is shown in which the industry type (tag #3) whose number of accesses is less than or equal to the threshold value Th1 is extracted as a new development area. This embodiment shows an example in which, from among the access histories extracted in step S8, access histories such as access mistakes are excluded, and the industry type (tag #3) of the new development area is extracted from the useful access histories.

This embodiment is obtained by adding steps S82 and S83 to the flowchart of FIG. 11 of the first embodiment, and the other configurations are the same as the first embodiment.

In step S82, the new area analysis unit 30 refers to the news release 80 or the patent information 90 to extract useful access histories for the access histories for which the number of accesses extracted in step S8 is less than or equal to the predetermined threshold Th1. In other words, the new area analysis unit 30 excludes unnecessary access histories such as access mistakes from the extracted access histories.

For example, when the variable pattern is pattern #1, a useful access history can be obtained by checking whether there is an example in news release 80 or patent information 90 that targets tag #2 (customer issue) using tag #3 (industry). If there is a corresponding case, it is determined that the access history is significant, and if there is no corresponding case, it is determined that the access history is unnecessary, such as an access error. Note that as another determination method, the stay time of the accessed site may be measured as the access history, and accesses below a threshold of stay time may be determined as unnecessary accesses such as access mistakes.

In step S83, as a result of the process in step S82, it is determined whether or not there is any access history other than access mistakes, and if there is a significant access history, the process proceeds to step S9 and is extracted as a new development area. If the access history is unnecessary, the process advances to step S10 and ends.

FIG. 16 is a graph showing the relationship between the extracted access history (tag #3) and the number of cases. The new domain analysis unit 30 selects adoption examples (targeting tag #2 (customer issues) with tag #3 (industry)) in news releases 80 and patent information 90 among the access histories where the number of accesses is less than a predetermined threshold Th1. Determine if there is. As for the content of the determination, the access history of tag #3 with a large number of cases (threshold value Th3 or more) can be extracted as useful information.

As described above, in this embodiment, it is determined whether the extracted access history is useful information or not, and unnecessary access history such as access mistakes is excluded before outputting it as a new development area. History can be analyzed with high precision.

FIG. 17 is a flowchart illustrating an example of processing performed by the analysis server 2. In the second embodiment, in step S81 of FIG. 13, an example is shown in which an industry (tag #3) whose number of accesses is equal to or less than the threshold value Th1 and whose degree of similarity 43 is low is extracted as a new development area. This embodiment shows an example in which, from among the access histories extracted in step S81, access histories such as access mistakes are excluded, and the industry type (tag #3) of the new development area is extracted from the useful access histories.

This embodiment has steps S82 and S83 added to the flowchart of FIG. 13 of the first embodiment, and the other configurations are the same as the first embodiment.

In step S82, the new area analysis unit 30 refers to the news release 80 or the patent information 90 to determine a useful access history for the access history extracted in step S81, where the number of accesses is less than the predetermined threshold Th1 and the degree of similarity 43 is low. Extract. In other words, the new area analysis unit 30 excludes unnecessary access histories such as access mistakes from the extracted access histories.

For example, when the variable pattern is pattern #1, a useful access history can be obtained by checking whether there is an example in news release 80 or patent information 90 that targets tag #2 (customer issue) using tag #3 (industry). If there is a corresponding case, it is determined that the access history is significant, and if there is no corresponding case, it is determined that the access history is unnecessary, such as an access error.

In step S83, as a result of the process in step S82, it is determined whether or not there is any access history other than access mistakes, and if there is a significant access history, the process proceeds to step S9 and is extracted as a new development area. If the access history is unnecessary, the process advances to step S10 and ends.

As described above, in this embodiment, it is determined whether the extracted access history is useful information before outputting it as a new development area, so the access history can be analyzed with high precision.

<Conclusion>
As described above, the information providing system and analysis server 2 of each of the above embodiments can have the following configuration.

(1) An information providing device (analysis server 2) that has a processor (21) and a memory (22) and analyzes the access history of an electronic market, in which information on products to be provided in the electronic market is set in advance and product information is provided. (17), user information (18) in which information of users who use the electronic market is set in advance, access history information (19) that stores a history of the user's access to the product information (17), and the a new area analysis unit (30) that analyzes access history information (19); the new area analysis unit (30) receives the product to be analyzed and uses tag #1 as a search variable; Accepting the items to be set in tag #2 and tag #3, setting the value of the product to be analyzed from the product information (17) in the item set in tag #1, and setting the value of the product to be analyzed from the product information (17) in the item set in tag #1. The value of the user information (18) is set from the user information included in the access history information (19) to the item in which the tag #1 and the tag #2 match. , calculate the number of accesses for each value of the item set in the tag #3 for the extracted data, and set the value of the item for which the number of accesses is less than or equal to a predetermined threshold (Th1) as a new development area. An information providing device characterized by outputting information.

With the above configuration, the analysis server 2 (information providing device) extracts users with new attributes (the value of the item set in tag #3) from among the users who accessed the electronic market as a new development area. It can be presented to the seller's owner as a new customer area. This makes it possible for the owner of the item to be exhibited to consider proposals for users with new attributes, thereby increasing the number of customers.

(2) The information providing device according to (1) above, wherein the product information (17) includes an identifier (171) of the product, a first industry type (174) to which the product is applied, and the product information (17). The product includes a first problem (175) and a first solution (176) for solving the first problem (175), and the user information (18) includes an identifier (181) of the user. , a second industry (183) to which the user belongs, a second problem (184) that is the user's problem, and a second solution (185) that is the solution that the user is considering. , the access history information (19) includes the date and time of access (191), the product identifier (192), and the user identifier (193), and the new area analysis unit (30) includes the tag # Set the value of the product to be analyzed from the product information (17) in the item set to #1, and set the user identifier (193) included in the access history information (19) in the item set to tag #2. ), and the tag #3 includes the second business type (183), the second task (184), and the second task (184) from the user information (18). An information providing apparatus characterized in that one of the items not set in the tag #2 is set in the second solution (185).

With the above configuration, the analysis server 2 extracts data in which the number of accesses for each value of the customer business industry 183 of the access history information 19 where the values of the items of tag #1 and tag #2 match is equal to or less than the threshold value Th1 as a development area. Then, it can be presented to the seller's owner as a new customer area.

(3) In the information providing device according to (2) above, the degree of similarity between the value of the product information (17) and the value of the user information (18) for the item set in the tag #3 ( 43), and the new area analysis unit (30) determines that the number of accesses corresponding to the value of the item set in the tag #3 is a predetermined threshold (Th1). An information providing apparatus characterized in that, among the following values, a value in which the degree of similarity of the value set in the tag #3 satisfies a predetermined condition (less than or equal to Th2 or a rank from the minimum) is output as a new development area. .

With the above configuration, the analysis server 2 can determine whether the similarity 43 of the tag #3 item (for example, industry) for the product to be analyzed is within the data for which the number of accesses for each value of the customer business industry 183 is equal to or less than the threshold Th1. By outputting values that meet the conditions as new development areas, it is possible to create business areas that the seller owner had not anticipated.

(4) In the information providing device according to (2) above, regarding the access history information (19) in which the number of accesses corresponding to the value of the item set in the tag #3 is equal to or less than a predetermined threshold (Th1), An information providing apparatus characterized in that the newly developed area is output after referring to preset information and excluding access history information (19) corresponding to an access error.

With the above configuration, the analysis server 2 determines whether the extracted access history is useful information, excludes unnecessary access history such as access mistakes, and then outputs it as a new development area, so it can analyze the access history. can be performed with high precision.

Note that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, the embodiments described above are described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to including all the configurations described. Furthermore, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, addition, deletion, or replacement of other configurations to some of the configurations of each embodiment may be applied singly or in combination.

Further, each of the above-mentioned configurations, functions, processing units, processing means, etc. may be partially or entirely realized by hardware, for example, by designing an integrated circuit. Moreover, each of the above-mentioned configurations, functions, etc. may be realized by software by a processor interpreting and executing a program that realizes each function. Information such as programs, tables, files, etc. that realize each function can be stored in a memory, a recording device such as a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

In addition, control lines and information lines are shown that are considered necessary for explanation, and not all control lines and information lines are necessarily shown in the product. In reality, almost all components may be considered to be interconnected.

Claims (8)

1. An information providing device that has a processor and a memory and analyzes access history of an electronic market,
   Product information preset with information on products offered on the electronic market;
   User information in which information of users who use the electronic market is preset,
   access history information that stores a history of the user accessing the product information;
   a new area analysis unit that analyzes the access history information;
   The new area analysis department is
   Accepting the said product to be analyzed,
   Accept the items to be set in tag #1, tag #2, and tag #3 as search variables,
   Setting the value of the product to be analyzed from the product information in the item set in the tag #1,
   setting the value of the user information from the user information included in the access history information in the item set in the tag #2;
   Extract data in which the tag #1 and tag #2 match from the access history information, calculate the number of accesses for each value of the item set in the tag #3 for the extracted data, and calculate the number of accesses for each value of the item set in the tag #3. An information providing apparatus characterized in that the value of the item below a predetermined threshold is output as a new development area.
2. The information providing device according to claim 1,
   The product information is
   the product includes an identifier of the product, a first industry to which the product is applied, a first problem of the product, and a first solution for the product to solve the first problem;
   The user information is
   including the user's identifier, a second industry to which the user belongs, a second problem that is the user's problem, and a second solution that is the solution that the user is considering,
   The access history information is
   including the access date and time, the product identifier, and the user identifier;
   The new area analysis department is
   Setting the value of the product to be analyzed from the product information in the item set in the tag #1,
   setting the value of the user information from the user identifier included in the access history information in the item set in the tag #2;
   The tag #3 includes the second business type, the second problem, and one of the items of the second solution that are not set in the tag #2 among the user information. An information providing device characterized by setting.
3. The information providing device according to claim 2,
   Regarding the item set in the tag #3, it further includes similarity information that is calculated in advance between the value of the product information and the value of the user information,
   The new area analysis department is
   Among the values in which the number of accesses corresponding to the value of the item set in the tag #3 is equal to or less than a predetermined threshold, the value whose similarity of the value set in the tag #3 satisfies a predetermined condition is designated as a new development area. An information providing device characterized by outputting as follows.
4. The information providing device according to claim 2,
   For access history information where the number of accesses corresponding to the value of the item set in tag #3 is below a predetermined threshold, access history information corresponding to an access mistake is excluded by referring to preset information, and then the above An information providing device characterized by outputting newly developed areas.
5. An information providing system in which an analysis server having a processor and memory analyzes access history of a site providing an electronic market,
   The said site is
   Product information preset with information on products offered on the electronic market;
   User information in which information of users who use the electronic market is preset,
   access history information that stores a history of accesses by the user to the product information;
   The analysis server is
   Accepting the said product to be analyzed,
   Accept the items to be set in tag #1, tag #2, and tag #3 as search variables,
   acquiring the product information and setting the value of the product to be analyzed in the item set in the tag #1;
   setting the value of the user information from the user information included in the access history information in the item set in the tag #2;
   Data in which the tag #1 and the tag #2 match are extracted from the access history information, and the number of accesses for each value of the item set in the tag #3 is calculated for the extracted data, and the number of accesses is calculated. An information providing system characterized in that values of the items below a predetermined threshold are output as new development areas to a terminal of an owner who provides the product to be analyzed.
6. The information providing system according to claim 5,
   The product information is
   the product includes an identifier of the product, a first industry to which the product is applied, a first problem of the product, and a first solution for the product to solve the first problem;
   The user information is
   including the user's identifier, a second industry to which the user belongs, a second problem that is the user's problem, and a second solution that is the solution that the user is considering,
   The access history information is
   including the access date and time, the product identifier, and the user identifier;
   The analysis server is
   Setting the value of the product to be analyzed from the product information in the item set in the tag #1,
   setting the value of the user information from the user identifier included in the access history information in the item set in the tag #2;
   The tag #3 includes the second business type, the second problem, and one of the items of the second solution that are not set in the tag #2 among the user information. An information provision system characterized by setting.
7. The information providing system according to claim 6,
   Regarding the item set in the tag #3, it further includes similarity information that is calculated in advance between the value of the product information and the value of the user information,
   The analysis server is
   Among the values in which the number of accesses corresponding to the value of the item set in the tag #3 is equal to or less than a predetermined threshold, the value whose similarity of the value set in the tag #3 satisfies a predetermined condition is designated as a new development area. An information provision system characterized by outputting as.
8. The information providing system according to claim 6,
   The analysis server is
   For access history information where the number of accesses corresponding to the value of the item set in tag #3 is below a predetermined threshold, access history information corresponding to an access mistake is excluded by referring to preset information, and then the above An information provision system characterized by outputting new development areas.

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