JP6052690B1 - Store search system, store search program, and recording medium - Google Patents

Abstract

A store search system capable of searching for a store having a high evaluation for a specific dish. A related product management table DB14 in which a related product related to a specific product requested to be searched is associated with the specific product, and an evaluation information management table DB13 in which evaluation information posted to the store is associated with each store. Stored storage unit, related product extraction unit 7 that extracts related products from the related product management table DB 14 based on the specific products, specific evaluation information about the specific products, and specific stores where related evaluation information about the related products are posted Are extracted from the evaluation information management table DB 13, the first determination unit 9 that determines that the extracted total evaluation information for each specific store exceeds a predetermined value, and the total evaluation for each store The store search system 20 includes the second determination unit 10 that determines that the ratio of the specific evaluation information and the related evaluation information to the information exceeds a predetermined value. [Selection] Figure 2

Description

  The present invention relates to a store search system, a store search program, and a recording medium for searching for a store that provides a specific product.

  Conventionally, a so-called word-of-mouth posting site is used when searching for a store that provides a reputable dish or food (hereinafter, “cooking or food” is referred to as “cooking”). In this review posting site, the user's evaluation using a store providing food and the like is posted as a review, and the store is rated according to the content of this review. When a specific dish or the like is input to the review posting site as a search condition, a store in which a review about the specific dish is posted is searched and ranked based on the rating. Therefore, the user can search for a store that provides a desired dish or the like based on the ranking.

  For example, according to the recommended store presentation system described in Patent Document 1 below, when a user accesses a management server using a mobile terminal, the user's location information, popularity using word-of-mouth information for the store, etc. A popular store is recommended. For example, the popularity is obtained in proportion to the number of word-of-mouth information of each store.

JP 2010-9315 A

  However, for example, if the search word “soy sauce ramen” is entered in the word-of-mouth posting site, the store where the word about “soy sauce ramen” is posted is searched, and the taste of “soy sauce ramen” is true in that store. It is unknown whether or not it is evaluated. In other words, even if a review contains a rating for “soy sauce ramen” in a store and the store is ranked high in the ranking, the rating of this store is for “soy sauce ramen”. It is not necessarily limited, but rather it may be a rating that includes other dishes and customer service. In this case, it is only to objectively know the fact that “soy sauce ramen” is included in the dishes provided at the top-ranked stores. Therefore, “Soy Sauce Ramen” is a highly rated menu among the provided dishes (hereinafter “Highly Rated Menu” is referred to as “Specialties Menu”) and is rated based on the highly rated “Soy Sauce Ramen”. You will not know which stores have been ranked higher.

  The present invention has been proposed in view of the above circumstances. That is, an object of the present invention is to provide a store search system, a store search program, and a recording medium capable of searching for a store having a high evaluation for a specific dish (in other words, a specialty menu in the store).

  In order to achieve the above object, a store search system according to the present invention searches a store group for a specific store that provides a product desired by a user in response to a search request from a user terminal, and searches the specific store for the specific store. In the store search system provided to the store, a storage unit storing evaluation information management information in which evaluation information posted to stores included in the store group is associated with each store, and a specification specified by the search request The specific store where the specific evaluation information that is the evaluation information related to the product is posted, the store extracting unit that extracts from the evaluation information management information, and all the evaluation information for each store that is the total evaluation information in the extracted specific store A first determination unit that determines that the number exceeds a predetermined value, and a ratio of the specific evaluation information to the total evaluation information for each store exceeds a predetermined value A second determination unit that determines the situation, and a providing unit that provides the user terminal with the specific store based on the determination results of the first determination unit and the second determination unit. It is characterized by.

  In the store search system according to the present invention, the related product related to the specific product specified by the search request is posted to the related product management information related to the specific product and the store included in the store group. A storage unit storing evaluation information management information in which evaluation information is associated with each store, a related product extraction unit that extracts the related product from the related product management information based on the specific product, and the related product The store extraction unit that extracts the specific store to which the related evaluation information that is the evaluation information related to is extracted from the evaluation information management information, and the number of all evaluation information by store that is all the evaluation information in the extracted specific store The first determination unit that determines that the value exceeds a predetermined value and that the ratio of the related evaluation information to the total evaluation information for each store exceeds the predetermined value. And a providing unit that provides the user terminal together with the related products based on the determination results of the first determination unit and the second determination unit. To do.

  In the store search system according to the present invention, the related product related to the specific product specified by the search request is posted to the related product management information related to the specific product and the store included in the store group. A storage unit storing evaluation information management information in which evaluation information is associated with each store, a related product extraction unit that extracts the related product from the related product management information based on the specific product, and the specific product Specific evaluation information that is related to the evaluation information and related specific information that is related evaluation information that is related to the related product is extracted from the evaluation information management information, and the extracted specific information A first determination unit that determines that the number of all evaluation information for each store, which is all evaluation information in a store, exceeds a predetermined value; Based on the determination result of the second determination unit that determines that the ratio of the specific evaluation information and the related evaluation information exceeds a predetermined value, and the determination results of the first determination unit and the second determination unit, And a providing unit for providing the specific store together with the specific product to the user terminal.

  The store search program according to the present invention includes, in a store search program for searching for a specific store that provides a product desired by a user from a store group via a computer, and providing the specific store to the user. The specific store where the specific evaluation information that is the evaluation information related to the specific product specified by the user is extracted from the evaluation information management information in which the evaluation information posted to the store is associated with each store Store determination procedure, first determination procedure for determining that the number of all evaluation information for each store, which is all evaluation information in the extracted specific store, exceeds a predetermined value, and all evaluation information for each store A second determination procedure for determining that the ratio of the specific evaluation information exceeds a predetermined value, the first determination procedure, and the second determination procedure. Based on the constant result, the including, and providing instructions for providing the particular store with a particular item and the related item to the user, characterized in that.

  The store search program according to the present invention is a related product that extracts related products based on the specific products from related product management information in which related products related to the specific products specified by the user are associated with the specific products. The identification procedure that the related evaluation information that is the evaluation information related to the related product is posted from the extraction information and the evaluation information management information in which the evaluation information posted to the stores included in the store group is associated with each store. A store extraction procedure for extracting a store, a first determination procedure for determining that the number of all evaluation information for each store, which is all evaluation information for the extracted specific store, exceeds a predetermined value, and all for each store A second determination procedure for determining that the ratio of the related evaluation information to the evaluation information exceeds a predetermined value, and the determination of the first determination procedure and the second determination procedure. Based on the results, including a providing instructions for providing the particular shop to the user together with the related products, characterized in that.

  The store search program according to the present invention is a related product that extracts related products based on the specific products from related product management information in which related products related to the specific products specified by the user are associated with the specific products. From the extraction procedure and evaluation information management information in which evaluation information posted to stores included in the store group is associated for each store, specific evaluation information that is the evaluation information related to the specific product, and the related product The number of the store extraction procedure for extracting the specific store where the related evaluation information that is the evaluation information is posted and the total evaluation information for each store that is all the evaluation information in the extracted specific store exceeds a predetermined value. And a ratio of the specific evaluation information and the related evaluation information to the total evaluation information for each store exceeds a predetermined value. And a providing procedure for providing the specific store to the user together with the specific product and the related product based on the determination results of the first determination procedure and the second determination procedure. , Including.

  A computer-readable storage medium according to the present invention and a store search program are stored.

  The store search system and store search program according to the present invention have the above-described configuration. That is, using the evaluation information management information, the specific evaluation information related to the specific product is searched from all the evaluation information in the store group, the specific store where the specific evaluation information is posted is extracted, and the store in the specific store When the result of the processing by each determination unit based on the other total evaluation information and the specific evaluation information reaches a predetermined standard, it is estimated that the specific product is a famous menu that has been well received at a specific store. Therefore, it is possible to search for a store having a high evaluation for a specific product.

  The store search system and the store search program according to the present invention are provided with related product management information. In other words, by defining related products related to a specific product, for example, when there are multiple different names for the product, or when multiple products are included in the name of the product, these are omitted. Can be extracted.

  Moreover, in the store extraction unit (store extraction procedure), the specific store where the specific evaluation information and the related evaluation information are posted is extracted from the evaluation information management information. These can be extracted without omission, for example, when is posted.

It is a hardware schematic block diagram of the shop search system which concerns on embodiment of this invention. It is the block diagram in which the outline of the structure of the shop search system which concerns on embodiment of this invention was shown. It is the figure by which the evaluation information management information in the shop search system which concerns on embodiment of this invention was shown. The related merchandise management information in the store search system according to the embodiment of the present invention is shown, (a) is a diagram showing a first specific example, (b) is a diagram showing a second specific example. . It is the flowchart in which the flow of the whole process by the shop search system which concerns on embodiment of this invention was shown.

  Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 shows a schematic hardware configuration of a store search system 20 according to the present embodiment.

  As shown in FIG. 1, the store search system 20 includes at least a storage unit 2, an input unit 6, an output unit 15, a control unit (not shown), and the like. The storage unit 2 includes a ROM 3, a RAM 4, an HDD 5, and the like. The input unit 6 is configured by, for example, a keyboard, a mouse, a touch panel, and the like, and the output unit 15 is configured by, for example, a liquid crystal display or a printer. The control unit is realized by the CPU 1 or the like, detects input information from the input unit 6, and stores a part of an OS (Operating System) program or application program to be executed by the CPU 1 in accordance with the program stored in the ROM 3. Using the RAM 4, the related product extraction unit 7, the store extraction unit 8, the first determination unit 9, the second determination unit 10, and the providing unit 11 are controlled, and the processing result of the input information is output to the output unit 15. In addition, regarding each of these units 7 to 11, it is arbitrary whether they are configured to be implemented in one device or a plurality of devices connected via a network.

  The store search system 20 can be realized by a hardware configuration, a DSP (Digital Signal Processor), an MPU (Micro Processing Unit), and software. For example, when realized by software, it can be realized by actually configuring the computer with CPU 1, MPU, ROM 3, RAM 4, etc. and operating programs stored in ROM 3 or RAM 4.

  Therefore, a store search program that causes the computer to perform the functions of the respective units 7 to 11 as a related product extraction procedure, a store extraction procedure, a first determination procedure, a second determination procedure, and a provision procedure, such as a CD-ROM It can be realized by recording in a recording medium and reading it into a computer. As a recording medium for recording the store search program, for example, a flexible disk or an optical disk can be used in addition to the CD-ROM.

  The store search system 20 may function as an ASP (Application Service Provider), and can also be realized by downloading a store search program to a computer via a network such as the Internet. Furthermore, these hardware and software resources can also be provided in a form such as a cloud accessible via a network.

  Next, the configuration of the store search system 20 will be described based on the drawings. FIG. 2 shows the overall configuration of the store search system 20 according to the present embodiment.

  The store search system 20 is a single or a plurality of server systems, and is connected to the user terminal 30 and the store terminal 40 via the communication network 100 so as to communicate with each other. In FIG. 2, the terminals 30 and 40 connected to the communication network 100 are single, but a plurality of terminals 30 and 40 may be connected.

  The communication network 100 is, for example, the Internet, a network connected by a dedicated line, an intra-company LAN, an inter-company LAN, a WAN, or the like. The form of the communication line is, for example, wired communication, wireless communication, satellite communication, or the like.

  The store terminal 40 is provided in, for example, a restaurant or a food and beverage store. The store terminal 40 inputs store information of its own store via the Web page generated by the store search system 20 and transmits it to the store search system 20. Here, the product is a dish (menu) provided by a restaurant or a food item sold by a food and beverage store.

  The user terminal 30 is used by the user when searching for a specific store that provides a product desired by the user via the Web page generated by the store search system 20, and as evaluation information for the store. This is used when posting so-called reviews. When searching, on the Web page, the name of a specific product that is a product desired by the user is input as a search word, and a search request is transmitted to the store search system 20. On the other hand, when posting, on the Web page, the evaluation for the store is input as a word of mouth as a word of mouth, and is transmitted to the store search system 20.

  The user terminal 30 and the store terminal 40 are, for example, a personal computer, a workstation, a tablet terminal, a smartphone, a television terminal that can be connected to a communication network, a game terminal, and the like.

  In response to a search request from the user terminal 30, the store search system 20 searches a store group database 12 (hereinafter referred to as “DB”) for a specific store that provides a product desired by the user. The specific store is transmitted to the user terminal 30.

  The store search system 20 includes a related product extraction unit 7, a store extraction unit 8, a first determination unit 9, a second determination unit 10, and a provision unit 11. The storage unit 2 includes a store group DB 12, evaluation information management information. As an evaluation information management table DB 13 and a related product management table DB 14 as related product management information. Each DB 12 to 14 may be an individual server system connected via a network, or may be stored in the storage unit 2 as a table.

  Store information transmitted from store terminal 40 is stored in store group DB12. The store information includes, for example, a store name, an address, business hours, a genre of products to be provided, and the like, and is stored in the storage unit 2 together with the store ID. The store group DB 12 may be a common DB with the evaluation information management table DB 13. In this case, the store information stored in the store group DB 12 and the evaluation information stored in the evaluation information management table DB 13 are associated with each other. ing.

  Here, the evaluation information management table DB 13 will be described in detail with reference to the drawings. FIG. 3 shows an example of the evaluation information management table DB 13 provided in the store search system 20 according to the present embodiment. The evaluation information management table DB 13 of the present embodiment is a DB that is common with the store group DB 12.

  As shown in FIG. 3, the evaluation information management table DB 13 stores evaluation information posted for each store included in the store group in association with each store information. The store ID is a unique identifier and is associated with each store. The genre includes the type of merchandise provided by the store, the sales form, and the like, such as Japanese food, Chinese food, ramen, Western food, cafe, and sweets shop. Evaluation information (word-of-mouth) is an evaluation of food, ingredients, and services provided at the store, and is transmitted from the user terminal 30 and stored for each store in the evaluation information management table DB 13. Generally, the evaluation information (review) includes the name of a specific product, and the quality of the taste is evaluated. Since the name of the product is arbitrary for the user to be evaluated, for example, even if the product is “soy sauce ramen”, the name is various such as “soy sauce ramen” and “Chinese soba”. In other words, when there are a plurality of different designations for a product, or when a plurality of products are included in the name of a product, in order to allow and unify such variations, An approximate product is defined as a related product and stored in the related product management table DB 14.

  Here, the related product management table DB 14 will be described in detail based on the drawings. FIG. 4 shows an example of the related product management table DB 14 provided in the store search system 20 according to the present embodiment.

  As shown in FIG. 4, in the related product management table DB 14, related products related to the specific products specified by the search request from the user terminal 30 are associated with the specific products, and the specific products and the related products The product name that includes the item is stored in association with each other. As shown in FIG. 4 (a), for example, if the specific product is “soy sauce ramen”, the related product is “Chinese soba”, and conversely, if the specific product is “Chinese soba”, The related product is “soy sauce ramen”. Further, if the specific product is “gyoza”, the related product is “yaki gyoza”, and conversely, if the specific product is “yaki gyoza”, the related product is “gyoza”. In this embodiment, “dumplings” and “boiled dumplings” are distinguished, but as shown in FIG. 4B, for example, when a specific product is “dumplings”, the related products are “baked”. It is good also as "gyoza", "steamed gyoza", "fried gyoza", "boiled gyoza", etc.

  The names of the extracted specific product and related product are presented as preset product names. In general, the presented product name matches the name of the specific product. That is, when a user searches for a product, a presented product name is defined in order to present it in a unified manner with the names of dishes (menus) and foods that are generally used.

  In the store search system 20, the above-described DBs 12 to 14 are used to perform a search.

  In FIG. 2, the related product extraction unit 7 extracts related products from the related product management table DB 14 based on the specific products. In other words, when receiving the search request, the related product extraction unit 7 searches the related product management table DB 14 based on the name of the specific product. If the corresponding related product exists in the related product management table DB 14, the related product is extracted. If there is a related product, the process in the store extraction unit 8 is executed based on the specific product and the related product, and if there is no related product, the process in the store extraction unit 8 is executed based on the specific product.

  The store extraction unit 8 accepts a search request from the user terminal 30 and extracts from the evaluation information management table DB 13 a specific store to which specific evaluation information that is evaluation information related to a specific product specified by the search request is posted. That is, when the store extraction unit 8 receives a search request, the store extraction unit 8 searches the evaluation information management table DB 13 using the name of the specific product as a search word. Evaluation information (review) including a search word is defined as specific evaluation information (review of a specific product), a store where this specific evaluation information (review of a specific product) is posted as a specific store, and the store ID is managed as evaluation information Extracted from the table DB 13 and stored together with the name of the searched product.

  If it explains in full detail based on FIG. 3, if the name of a specific product is "soy sauce ramen", for example, the store A and the store C to which specific evaluation information (word-of-mouth review of the specific product) including "soy sauce ramen" is posted Is a specific store, and store IDs “001” and “003” are extracted and stored together with “soy sauce ramen”.

  Moreover, when a related product is extracted in the related product extraction part 7, the store extraction part 8 extracts the specific store where the related evaluation information which is the evaluation information regarding a related product was posted from evaluation information management table DB13. If it explains in detail based on FIG. 3, for example, if the specific product is “soy sauce ramen”, the store B to which the related evaluation information (review of related products) including the related product “Chinese soba” is posted. The store ID is “002” and is stored together with “Chinese soba”.

  Further, the store extracting unit 8 extracts the specific store where the specific evaluation information and the related evaluation information are posted from the evaluation information management table DB 13. Referring to FIG. 3 in detail, for example, if the specific product is “soy sauce ramen”, the related product is “Chinese buckwheat noodles”, so the specific evaluation information including the specific product “soy sauce ramen” (specific Product review), and the C store where the related evaluation information (review of related product) including the related product “Chinese soba” is posted as a specific store, and the store ID “003” is extracted. It is remembered along with “soy sauce ramen” and “Chinese soba”.

  The 1st determination part 9 determines with the number of all the evaluation information classified by store which is all the evaluation information in the extracted specific store exceeding the predetermined value. That is, in the 1st determination part 9, based on store ID of the specific store extracted by the store extraction part 8, all the evaluation information (word-of-mouth) posted to this specific store is evaluated by all the evaluation information (all reviews) according to a store. And the number of all evaluation information (all reviews) for each store exceeds a predetermined value. The predetermined value is arbitrary, but is 100 cases, for example.

  The second determination unit 10 determines that the ratio of specific evaluation information (specific product reviews) to all store-specific evaluation information (all reviews) exceeds a predetermined value. That is, the second determination unit 10 specifies the number of all evaluation information (all reviews) for each store counted by the first determination unit 9 based on the store ID of the specific store extracted by the store extraction unit 8. A ratio of evaluation information (review) including the name of the product is calculated. Those whose ratio exceeds a predetermined value are extracted. Referring to FIG. 3 in detail, if the specific product is “soy sauce ramen”, “soy sauce ramen” is included in all the evaluation information (all reviews) for each store based on the store ID “001”. It is determined whether or not the number of specific evaluation information (reviews of a specific product) exceeds a predetermined value. The predetermined value is arbitrary, but is 70%, for example.

  Moreover, when related goods are extracted in the related goods extraction part 7, the 2nd determination part 10 has the ratio of the related evaluation information (review of related goods) with respect to all the evaluation information (all reviews) classified by store as a predetermined value. Judge that it has exceeded. That is, in the second determination unit 10, based on the store ID of the specific store extracted by the store extraction unit 8, the number of all evaluation information (all reviews) for all stores counted by the first determination unit 9. Thus, the ratio of the related evaluation information (related product reviews) including the names of the related products is calculated. Those whose ratio exceeds a predetermined value are extracted. Referring to FIG. 3 in detail, if the specific product is “soy sauce ramen”, the related product is “Chinese soba”. Therefore, based on the store ID “002”, the specific evaluation information for the store B (the review of the specific product) ), It is determined whether or not the number of related evaluation information (reviews of related products) including “Chinese soba” exceeds a predetermined value.

  Furthermore, the second determination unit 10 determines that the ratios of the specific evaluation information (specific product reviews) and the related evaluation information (related product reviews) with respect to all the evaluation information for each store exceed a predetermined value. That is, the second determination unit 10 specifies the number of all evaluation information (all reviews) for each store counted by the first determination unit 9 based on the store ID of the specific store extracted by the store extraction unit 8. The ratio of evaluation information (reviews of specific products) and related evaluation information (reviews of related products) is calculated. Those whose ratio exceeds a predetermined value are extracted. Referring to FIG. 3 in detail, if the specific product is “soy sauce ramen”, the related product is “Chinese soba”. Therefore, based on the store ID “003”, all evaluation information by store for all stores (all reviews) ), The total of specific evaluation information (specific product reviews) including “soy sauce ramen” and related evaluation information (related product reviews) including “Chinese soba” exceeds a predetermined value. Is determined.

  Based on the determination results in the determination units 9 and 10, it is estimated that the specific product (or related product) is a specialty menu in the store.

  After the determination in the first determination unit 9 and the second determination unit 10, the providing unit 11 together with the specific product (or related product, or specific product and related product) based on the determination results of the determination units 9 and 10. The specific store is provided to the user terminal 30. That is, the specific product (or related product, or specific product and related product) is transmitted to the user terminal 30 together with the store information. At that time, the names of the specific products (or related products, or the specific products and related products) are converted to the presented product names based on the related product management table DB 14 and unified.

  As described above, this embodiment is configured.

  Next, the flow of processing in this embodiment will be described based on the drawings. FIG. 5 shows a flow of processing in the store search system 20 according to the embodiment of the present invention.

  In the store search system 20 that has received a search request from the user terminal 30, the related product extraction unit 7 uses the search word (for example, “soy sauce ramen”) input to the user terminal 30 as a specific product, based on this specific product. The related product management table DB 14 is searched, and if the corresponding related product exists in the related product management table DB 14, the related product is extracted.

  Referring to FIG. 4 in detail, if the specific product is “soy sauce ramen”, the related product is “Chinese soba”. When there is a related product, processing in the store extraction unit 8 is executed based on the specific product and the related product.

  As shown in FIG. 5, the evaluation information management table DB 13 is searched based on the specific product and the related product (step S1), and the specific product (or related product, or the specific product and related product) is included in the evaluation information (review). Product) is determined. When specific information (or related products, or specific products and related products) is included in the evaluation information (reviews), specific evaluation information (reviews of specific products) or related evaluation information (related items) that includes the specific products The store ID of the specific store where the product review is posted is extracted, and the store ID and the specific product (or the related product, or the specific product and the related product) are stored (step S4).

  If it explains in full detail based on FIG. 3, since it is A store that the specific evaluation information (review of a specific product) including "soy sauce ramen" which is a specific product was posted, store ID "001" of A store Is extracted, and the store ID is stored together with “soy sauce ramen” which is the name of the searched product. Further, since the related evaluation information (review of related products) including the related product “Chinese soba” is posted to the store B, the store ID “002” of the store B is extracted and the searched product Store ID is stored together with the name “Chinese soba”. In addition, specific evaluation information (specific reviews) that includes the specific product “soy sauce ramen” and related evaluation information (related reviews of the related products) that includes the related product “Chinese soba” were posted. Since it is a store C, the store ID “003” of the store C is extracted, and the store ID is stored together with “soy sauce ramen” and “Chinese soba” that are the names of the searched products.

  The above-described processing is repeated (step S2), and the first determination unit 9 counts all evaluation information for each store (all reviews) for each store, and the number of all evaluation information for each store (all reviews) is a predetermined value. Is determined (step S5).

  If it explains in full detail based on FIG. 3, the total evaluation information (all reviews) according to the store is 7 for the A store, 15 for the B store, and 10 for the C store. If the predetermined value is 8, store B and store C satisfy the determination condition.

  In the second determination unit 10, for each store, the specific evaluation information including the name of the specific product (review of the specific product) and the name of the related product are included with respect to the total evaluation information (all reviews) by store. A ratio of the total number of related evaluation information (reviews of related products) is calculated, and it is determined whether or not this ratio exceeds a predetermined value (step S6).

  If it explains in full detail based on FIG. 3, in B store, since all the evaluation information (all reviews) according to the store is 15 cases, the related evaluation information (reviews of related products) is one case. The ratio of the related evaluation information (related product reviews) to the evaluation information (all reviews) is about 6%. On the other hand, in store C, there are 10 total evaluation information (all reviews) by store, whereas there are 6 specific evaluation information (specific product reviews) and related evaluation information (related product reviews). The ratio of specific evaluation information (specific product reviews) and related evaluation information (related product reviews) to all evaluation information (all reviews) by store is about 60%. If the predetermined value is 50%, the store C satisfies the determination condition.

  Based on the determination results of the determination units 9 and 10, the specific product (or related product) is presumed to be a specialty menu in the specific store, and the specific product (or related product) is based on the related product management table DB 14. Converted to the product name.

  In the providing unit 11, the presented product name is transmitted to the user terminal 30 together with the store information. That is, along with the store information of the C store, the soy sauce ramen that is the name of the presented product is transmitted to the user terminal 30.

  As described above, the present embodiment is processed.

  Next, the effect of this embodiment will be described.

  As described above, according to the present embodiment, using the evaluation information management table DB 13, the specific evaluation information (the word-of-mouth for a specific product) is posted from all the evaluation information (all reviews) for each store in the store group. The store is extracted, and the result of the processing by each of the determination units 9 and 10 based on the total evaluation information (all reviews) and specific evaluation information (specific product reviews) for each specific store reaches a predetermined standard. If so, it is assumed that the specific product is a specialty menu at a specific store. Therefore, it is possible to search for a store that provides a specialty menu.

  Further, by using the related product management table DB 14, for example, when there are a plurality of different names for a single product (“Chinese soba noodles” for “soy sauce ramen”), a plurality of product names When products are included (“gyoza” includes “yaki gyoza” and “boiled gyoza”), these can be extracted without omission. Therefore, even if the evaluation information (review) does not include the specific product that is the search word and includes only the related product, it can be extracted without omission.

  Further, the store extraction unit 8 extracts the specific store to which the specific evaluation information (review of specific product) and related evaluation information (review of related product) are posted from the evaluation information management table DB 13. When evaluation information is posted with different names for the product (“soy sauce ramen” or “Chinese soba”), these can be extracted without omission.

  As mentioned above, although embodiment of this invention was explained in full detail, this invention is not limited to the said embodiment. The present invention can be modified in various ways without departing from the scope of the claims.

1 CPU
2 Storage unit 3 ROM
4 RAM
5 HDD
6 input unit 7 related product extraction unit 8 store extraction unit 9 first determination unit 10 second determination unit 11 provision unit 12 store group DB
13 Evaluation information management table DB (Evaluation information management information)
14 Related Product Management Table DB (Related Product Management Information)
DESCRIPTION OF SYMBOLS 15 Output part 20 Store search system 30 User terminal 40 Store terminal 100 Communication network

Claims (7)

In a store search system for searching a specific store that provides a product desired by a user in response to a search request from a user terminal from a store group, and providing the specific store to the user terminal,
A storage unit storing evaluation information management information in which evaluation information posted to stores included in the store group is associated with each store;
A store extractor for extracting the specific store from which the specific evaluation information, which is the evaluation information related to the specific product specified by the search request, is posted from the evaluation information management information;
A first determination unit that determines that the number of all evaluation information by store that is all evaluation information in the extracted specific store exceeds a predetermined value;
A second determination unit that determines that the ratio of the specific evaluation information to the total evaluation information for each store exceeds a predetermined value;
A providing unit that provides the user terminal together with the specific product based on the determination results of the first determination unit and the second determination unit;
A store search system characterized by that. In a store search system for searching a specific store that provides a product desired by a user in response to a search request from a user terminal from a store group, and providing the specific store to the user terminal,
Related product management information in which related products related to the specific products specified by the search request are associated with the specific products, and evaluation information posted to stores included in the store group are associated with each store. A storage unit storing evaluation information management information;
A related product extraction unit that extracts the related product based on the specific product from the related product management information;
A store extracting unit that extracts the specific store to which the related evaluation information that is the evaluation information related to the related product is posted, from the evaluation information management information;
A first determination unit that determines that the number of all evaluation information by store that is all evaluation information in the extracted specific store exceeds a predetermined value;
A second determination unit that determines that a ratio of the related evaluation information to the total evaluation information for each store exceeds a predetermined value;
Based on the determination results of the first determination unit and the second determination unit, and a provision unit that provides the user terminal together with the related products,
A store search system characterized by that. In a store search system for searching a specific store that provides a product desired by a user in response to a search request from a user terminal from a store group, and providing the specific store to the user terminal,
Related product management information in which related products related to the specific products specified by the search request are associated with the specific products, and evaluation information posted to stores included in the store group are associated with each store. A storage unit storing evaluation information management information;
A related product extraction unit that extracts the related product based on the specific product from the related product management information;
A store extraction unit that extracts the specific evaluation information that is the evaluation information related to the specific product and the specific store where the related evaluation information that is the evaluation information related to the related product is posted, from the evaluation information management information;
A first determination unit that determines that the number of all evaluation information by store that is all evaluation information in the extracted specific store exceeds a predetermined value;
A second determination unit that determines that the ratio of the specific evaluation information and the related evaluation information with respect to the total evaluation information for each store exceeds a predetermined value;
A providing unit that provides the user terminal together with the specific product based on the determination results of the first determination unit and the second determination unit;
A store search system characterized by that. In a store search program for searching for a specific store that provides a product desired by a user from a store group via a computer and providing the specific store to the user,
Specific evaluation information, which is the evaluation information related to the specific product specified by the user, is posted from the evaluation information management information in which the evaluation information posted to the stores included in the store group is associated with each store. A store extraction procedure for extracting the specific store;
A first determination procedure for determining that the number of all evaluation information for each store that is all evaluation information in the extracted specific store exceeds a predetermined value;
A second determination procedure for determining that the ratio of the specific evaluation information to the total evaluation information for each store exceeds a predetermined value;
A provision procedure for providing the user with the specific store together with the specific product and the related product based on the determination results of the first determination procedure and the second determination procedure;
Store search program characterized by that. In a store search program for searching for a specific store that provides a product desired by a user from a store group via a computer and providing the specific store to the user,
A related product extraction procedure for extracting related products based on the specific products from related product management information related to the specific products related products related to the specific products identified by the user;
From the evaluation information management information in which the evaluation information posted to the stores included in the store group is associated for each store, the specific store where the related evaluation information that is the evaluation information related to the related product is posted is extracted. Store extraction procedure;
A first determination procedure for determining that the number of all evaluation information for each store that is all evaluation information in the extracted specific store exceeds a predetermined value;
A second determination procedure for determining that the ratio of the related evaluation information to the total evaluation information for each store exceeds a predetermined value;
A providing procedure for providing the user with the specific store together with the related products based on the determination results of the first determination procedure and the second determination procedure;
Store search program characterized by that. In a store search program for searching for a specific store that provides a product desired by a user from a store group via a computer and providing the specific store to the user,
A related product extraction procedure for extracting related products based on the specific products from related product management information related to the specific products related products related to the specific products identified by the user;
From the evaluation information management information in which the evaluation information posted to the stores included in the store group is associated for each store, the specific evaluation information that is the evaluation information related to the specific product, and the evaluation information related to the related product A store extraction procedure for extracting the specific store where certain related evaluation information is posted;
A first determination procedure for determining that the number of all evaluation information for each store that is all evaluation information in the extracted specific store exceeds a predetermined value;
A second determination procedure for determining that a ratio of the specific evaluation information and the related evaluation information with respect to the total evaluation information for each store exceeds a predetermined value;
A provision procedure for providing the user with the specific store together with the specific product and the related product based on the determination results of the first determination procedure and the second determination procedure;
Store search program characterized by that. The store search program according to claim 4 to 6 is stored,
A computer-readable storage medium characterized by the above.

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