JP6945518B2 - Information processing equipment, information processing methods and information processing programs - Google Patents

Description

Embodiments of the present invention relate to information processing devices, information processing methods and information processing programs.

Conventionally, there is known a system in which a user terminal and a server for providing a shopping page to the user terminal are provided via the Internet, and the user purchases a product on the shopping page.

For example, Patent Document 1 discloses a technique for supporting the easy purchase of an optimal product that meets a user's request.

Japanese Unexamined Patent Publication No. 2010-218127

However, the above-mentioned conventional technique cannot always support the easy selection of the store from which the product is purchased. For example, in the above-mentioned prior art, the same products as the products to be purchased are displayed in the display area in the order of evaluation according to a predetermined standard. With the above-mentioned prior art, the user can easily determine whether or not the product to be purchased meets the required criteria, while simply selecting the store from which the product is purchased. It is not always possible to make a choice.

The present application has been made in view of the above, and an object of the present application is to provide an information processing device, an information processing method, and an information processing program that can assist in easily selecting a store from which a product is purchased. do.

The information processing device according to the present application includes a reception unit that receives a search query for searching for a product, and a presentation unit that presents ranking information about a store that handles a product corresponding to the search query received by the reception unit. It is characterized by having.

According to one aspect of the embodiment, it is possible to support the easy selection of the store from which the product is purchased.

FIG. 1 is a diagram showing an example of information processing according to an embodiment. FIG. 2 is a diagram showing an example of a search result page. FIG. 3 is a diagram showing a configuration example of the information processing system according to the embodiment. FIG. 4 is a diagram showing a configuration example of the information processing device according to the embodiment. FIG. 5 is a diagram showing an example of the evaluation information storage unit according to the embodiment. FIG. 6 is a diagram showing an example of the category information storage unit according to the embodiment. FIG. 7 is a flowchart showing an information processing procedure according to the embodiment. FIG. 8 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

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

[1. An example of information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of information processing according to an embodiment. The information processing according to the embodiment is performed by the information processing device 100 shown in FIG.

Prior to the description of FIG. 1, the information processing system according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 3, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are connected to each other via a network N so as to be communicable by wire or wirelessly. The information processing system 1 shown in FIG. 3 may include a plurality of terminal devices 10 and a plurality of information processing devices 100.

The terminal device 10 is an information processing device used by the user. The terminal device 10 is, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. In the present embodiment, it is assumed that the application AP, which is an application for providing a shopping service, is pre-installed in the terminal device 10. In addition, the service name of the shopping service and the site name of the site that provides the shopping service may be referred to as "YS shopping" below. Further, for this reason, the application AP is an application corresponding to YS shopping.

In addition, since products from various stores (either virtual stores or actual stores) are exhibited in YS shopping, YS shopping is also called an electronic mall or the like. Then, the terminal device 10 accesses YS shopping and displays various product information according to the control of the application AP. For example, when the terminal device 10 receives an input of a search query for searching a product from a user while YS shopping is displayed, the terminal device 10 transmits the received search query to the information processing device 100. Further, the terminal device 10 displays the search result searched by the information processing device 100 using the search query.

In the following embodiment, the information processing device 100 shown in FIG. 1 will perform information processing according to the embodiment according to the control of the information processing program according to the embodiment, but the terminal device 10 will be applied to the embodiment. Information processing according to the embodiment may be performed according to the control of the information processing program. Further, in such a case, the application AP can be said to be an example of an information processing program. Further, the information processing according to the embodiment may be performed by the cooperation between the terminal device 10 and the information processing device 100, and in such a case, both the terminal device 10 and the information processing device 100 are included in the embodiment. It operates according to the control of such an information processing program.

Here, the premise for performing information processing according to the embodiment will be described. For example, suppose that the user inputs the search query "product A" in order to search for a store that handles product A among the stores that are open in YS shopping. As mentioned above, many stores are listed in YS Shopping, so when the search query "Product A" is entered in this way, the stores corresponding to the search query "Product A" (handled Product A). It is possible that the product A handled by each of a plurality of different stores is displayed as a search result. Then, the user may be confused about which store to purchase the product A to be sold. Therefore, if it is possible to support the selection of the store, the user can purchase the product more smoothly, which is convenient.

Further, assuming that the product A is a food product, the user wants to purchase the product A but is not familiar with the product A, so what kind of state is good, and what kind (variety) of the product A exists. Sometimes you don't know. In such a case, if, for example, a store that meets a predetermined standard is presented among the stores that handle product A, the user feels reassured that the store probably handles high-quality product A. Will be obtained. Similarly, if it is possible to support the selection of stores in this way, it is convenient for the user to be able to purchase the product more smoothly.

Based on the above assumptions, the information processing apparatus 100 performs information processing according to the embodiment. Specifically, the information processing apparatus 100 receives a search query for searching for a product, and presents ranking information regarding a store that handles the product corresponding to the received search query. For example, the information processing apparatus 100 presents ranking information indicating the sales ranking in the stores extracted based on the sales ranking among the stores handling the products corresponding to the search query. Further, for example, the information processing device 100 is an evaluation order among stores handling products corresponding to a search query, and is an order indicating an evaluation order in stores extracted based on an evaluation order according to customer satisfaction. Present information. Further, for example, the information processing device 100 presents the ranking information of the store for each store.

In addition, the information processing device 100 presents product information about a product handled in the store and corresponding to a search query for each store in which the ranking information is presented. For example, the information processing device 100 is a product that is handled in each store where ranking information is presented and that corresponds to a search query, and is extracted based on a predetermined evaluation value of the product. Present product information about. For example, the information processing apparatus 100 presents ranking information together with a search result corresponding to a search query.

Hereinafter, an example of information processing according to the embodiment will be described. In the present embodiment, the information processing device 100 is managed by the business owner Y. Further, since the information processing device 100 provides YS shopping, YS shopping can be rephrased as a site (service) operated by the business owner Y.

First, it is assumed that the user U1 inputs the search query "Harami" using the terminal device 10 while accessing YS shopping. In such a case, the terminal device 10 transmits the search query "Harami" to the information processing device 100 (step S1). When the information processing apparatus 100 receives the search query "Harami", the information processing device 100 executes a search process for searching for a product corresponding to the search query "Harami" (step S2). Specifically, a search process is performed to search for a store that handles products corresponding to the search query "Harami" and to search for products corresponding to the search query "Harami" from the products handled by this store. Run. In other words, the information processing apparatus 100 performs a search process for obtaining the search result displayed on the search result page P1 described later. Although not shown, it is assumed that the information processing device 100 has, for example, a storage unit for search processing in which identification information for identifying a store and product information indicating products handled by the store are associated with each other. , Search for products corresponding to the search query "Harami" from this storage unit. In such an example, it is assumed that the information processing apparatus 100 obtains the search results RE1, RE2, RE3, and RE4 as the search results of the search process.

Here, as described above, the information processing apparatus 100 presents ranking information together with the search results corresponding to the search query. For example, the information processing apparatus 100 presents a search result list including the ranking information corresponding to the search query as one search result page. Therefore, the information processing device 100 performs an extraction process for extracting (determining) the store to be presented (hereinafter referred to as "target store") to which the ranking information is presented (for details, in step S5). (Explanation), prior to this, the information processing apparatus 100 identifies a store corresponding to the search query, that is, a store handling the product corresponding to the search query. In the example of FIG. 1, the information processing apparatus 100 identifies a store that handles products corresponding to the search query "Harami" (step S3). Since the information processing device 100 actually identifies the handling store in the search process of step S2, the result of step S2 may be used. However, in the present embodiment, step S3 will be described as a process different from step S2 by using the store information storage unit 121.

For example, in step S3, the information processing device 100 refers to the store information storage unit 121 and identifies a handling store that handles products corresponding to the search query “Harami”. The store information storage unit 121 will be described. The store information storage unit 121 stores various information related to the products handled. In the example of FIG. 1, the store information storage unit 121 has items such as "store ID", "handled product ID", "product name", "price", "product data", and "satisfaction score".

The "store ID" indicates identification information that identifies the store. The "handled product ID" indicates identification information that identifies the handled product handled by the corresponding store. The "product name" indicates the product name of the product identified by the "handled product ID". The "price" indicates the selling price of the product identified by the "handled product ID". Shows various data related to the product identified by the "product data" and the "handled product ID". The "product data" includes information presented to the user, such as a product image and a detailed description of the product. "Sales" indicates the sales of the product identified by the "handled product ID". "Total sales" indicates the total sales at the store identified by the "store ID". In the example of the store information storage unit 121 shown in FIG. 1, conceptual symbols are used for "sales" and "total sales", but in reality, numerical values indicating the amount of money are input.

That is, in the example of the store information storage unit 121 shown in FIG. 1, the store (store SH11) identified by the store ID "SH11" is the product (product PD11-1) identified by the handling product ID "PD11-1". Is dealt with as an example. Further, in the example of the store information storage unit 121 shown in FIG. 1, the product PD11-1 shows an example in which the product name is "Harami A1", the price is "2,689 yen", and the product data is "DA1". Further, in the example of the store information storage unit 121 shown in FIG. 1, the sales of the product PD11-1 at the store SH11 is "SLA1", and the total sales for all the products at the store SH11 are "Total11". Here is an example.

In the store information storage unit 121, the product category to which the product belongs may be associated with each product identified by the “handled product ID”. Further, such a product category corresponds to the product category used in the product category stored in the category information storage unit 123 shown in FIG. The store information storage unit 121 also has the item "satisfaction score", but the "satisfaction score" will be described later.

Now, returning to the description of step S3. The information processing device 100 refers to the store information storage unit 121, and handles a store that handles a product having a "product name" that matches the search query "Harami", and a product that corresponds to the search query "Harami". Identify as a handling store. Alternatively, the information processing device 100 handles a store that handles a product in which a description or the like matching the search query "Harami" is registered as "product data", and handles a product that corresponds to the search query "Harami". Identify as a store. In the example of the store information storage unit 121 shown in FIG. 1, all of the store SH11, the store SH12, the store SH13, and the store SH14 handle products containing "Harami" in the "product name". For example, the store SH11 handles products containing "Harami" such as the product name "Harami A1", the product name "Harami A2", and the product name "Harami A3". Therefore, the information processing device 100 specifies the store SH11, the store SH12, the store SH13, and the store SH14 as handling stores.

Next, the information processing apparatus 100 ranks the handling stores specified in step S3 among the stores of each handling store based on the predetermined information of each store (step S4). For example, the information processing device 100 ranks the stores of each handling store by comparing the sales (an example of predetermined information) between the stores of each handling store with reference to the store information storage unit 121. .. Since the information processing device 100 specifies the store SH11, the store SH12, the store SH13, and the store SH14 (stores SH11 to SH14) as the handling stores corresponding to the search query "Harami", the store information storage unit 121 is referred to. Based on the sales of products corresponding to the search query "Harami" of each of the stores SH11 to SH14 (by comparing the sales), the higher the sales, the higher the sales ranking is given.

In the example of the store information storage unit 121 shown in FIG. 1, in the store SH11, the products corresponding to the search query "Harami" are the product PD11-1, the product PD11-2, and the product PD11-3 containing "Harami" in the product name. Is. Therefore, the information processing apparatus 100 calculates the total sales, which is the sum of the sales of the product PD11-1, the product PD11-2, and the product PD11-3. In the example of FIG. 1, it is assumed that the information processing apparatus 100 has calculated the total sales “SAM 11”.

Further, in the example of the store information storage unit 121 shown in FIG. 1, in the store SH12, the products corresponding to the search query "Harami" are the product PD12-1, the product PD12-2, and the product PD12 containing "Harami" in the product name. -3. Therefore, the information processing apparatus 100 calculates the total sales, which is the sum of the sales of the product PD12-1, the product PD12-2, and the product PD12-3. In the example of FIG. 1, it is assumed that the information processing apparatus 100 has calculated the total sales "SAM12".

Further, in the example of the store information storage unit 121 shown in FIG. 1, in the store SH13, the products corresponding to the search query "Harami" are the product PD13-1, the product PD13-2, and the product PD13 containing "Harami" in the product name. -3. Therefore, the information processing apparatus 100 calculates the total sales, which is the sum of the sales of the product PD13-1, the product PD13-2, and the product PD13-3. In the example of FIG. 1, it is assumed that the information processing apparatus 100 has calculated the total sales "SAM 13".

Further, in the example of the store information storage unit 121 shown in FIG. 1, in the store SH14, the products corresponding to the search query "Harami" are the product PD14-1, the product PD14-2, and the product PD14 containing "Harami" in the product name. -3. Therefore, the information processing apparatus 100 calculates the total sales, which is the sum of the sales of the product PD14-1, the product PD14-2, and the product PD14-3. In the example of FIG. 1, it is assumed that the information processing apparatus 100 has calculated the total sales "SAM 14".

Here, for the sake of simplicity, the magnitude relationship of "SAM11", "SAM12", "SAM13", and "SAM14" is simply "SAM11"> "SAM12"> "SAM13"> "SAM14". Suppose there is. Then, the information processing apparatus 100 assigns sales ranks such as store SH11 "1st place", store SH12 "2nd place", store SH13 "3rd place", and store SH14 "4th place". The information processing device 100 may assign a sales order based on the "total sales" of the store information storage unit 121. In such a case, the information processing apparatus 100 has a total sales "Total11" associated with the store ID "SH11", a total sales "Total12" associated with the store ID "SH12", and a total sales associated with the store ID "SH13". The total sales "Total14" associated with "Total13" and the store ID "SH14" are compared, and the higher the value of the handling store, the higher the sales ranking is given.

As described above, in step S4, an example is shown in which the information processing apparatus 100 assigns a ranking among the handling stores based on the sales of the products corresponding to the search query and the total sales at the handling stores. However, in any case, in the example of FIG. 1, the information processing apparatus 100 has sales such as store SH11 "1st place", store SH12 "2nd place", store SH13 "3rd place", and store SH14 "4th place". It is assumed that the ranking has been given. Then, the information processing apparatus 100 extracts the target store (target store) to which the ranking information is presented from the handling stores SH11 to SH14 based on the ranking information indicating the sales ranking (step S5). .. For example, the information processing apparatus 100 extracts (determines) the top three stores SH11, SH12, and SH13 (SH11 to SH13) having the highest sales ranks as target stores.

Next, the information processing device 100 extracts the product information of the product corresponding to the search query "Harami" for each target store (step S6). For example, the information processing device 100 extracts product information related to a product corresponding to the search query "Harami" for each of the target stores SH11 to SH13. For example, the information processing apparatus 100 extracts product information from products corresponding to the search query "Harami" based on a predetermined evaluation value of the product. As an example, the information processing apparatus 100 has an evaluation value based on the censorship information for the product corresponding to the search query "Harami", an evaluation value based on the number of purchases of the product corresponding to the search query "Harami", or. Based on at least one product information of the evaluation value based on the sales amount for the product corresponding to the search query "Harami", the product information related to the top three products having the highest evaluation value is extracted.

For example, the information processing device 100 refers to the evaluation information storage unit 122, and is an example of the evaluation value. The product information of the top three products having a high evaluation score and corresponding to the search query "Harami". Is extracted for each of the target stores SH11 to SH13. The evaluation information storage unit 122 stores various information related to the evaluation value. Here, FIG. 5 shows an example of the evaluation information storage unit 122 according to the embodiment. In the example of FIG. 5, the evaluation information storage unit 122 has items such as "store ID", "handled product ID", "product name", and "evaluation score".

The "store ID" indicates identification information that identifies the store. The "handled product ID" indicates identification information that identifies the handled product handled by the corresponding store. The "product name" indicates the product name of the product identified by the "handled product ID". The "store ID", "handled product ID", and "product name" of the evaluation information storage unit 122 correspond to those of the store information storage unit 121.

The "evaluation score" is an example of an evaluation value calculated based on the censorship information for the product identified by the "handled product ID". The "evaluation score" is an example of an evaluation value calculated based on the sales amount of the product identified by the "handled product ID". The "evaluation score" is an example of an evaluation value calculated based on the number of purchases of the product identified by the "handled product ID". The "evaluation score" is an example of an evaluation value calculated based on the sales amount of the product identified by the "handled product ID". For example, the "evaluation score" is calculated by the calculation unit 137. That is, in the example of FIG. 5, the evaluation score “Sco11” was calculated for the product (product PD11-1) that is identified by the handling product ID “PD11-1” and is handled at the store SH11. An example is shown. In the example of FIG. 5, the evaluation score is indicated by a conceptual symbol such as "Sco11", but is actually indicated by a numerical value.

Return to the description of step S6. According to the example of FIG. 5, the information processing device 100 has an evaluation score of the product corresponding to the search query "Harami" (for example, a product containing "Harami" in the product name or product data) for the store SH11. Identify the product data for the top three products. In such an example, it is assumed that the information processing device 100 specifies the product PD11-1, the product PD11-2, and the product PD11-3 for the store SH11. Then, the information processing device 100 extracts the product data DA1, the product data DA2, and the product data DA3 corresponding to each of the product PD11-1, the product PD11-2, and the product PD11-3 from the store information storage unit 121. Further, according to the example of FIG. 5, the information processing apparatus 100 also identifies the product data of the top three products having the highest evaluation scores among the products corresponding to the search query "Harami" for the store SH12. In such an example, it is assumed that the information processing apparatus 100 has specified the product PD12-1, the product PD12-2, and the product PD12-3 for the store SH12. Then, the information processing device 100 extracts the product data DB1, the product data DB2, and the product data DB3 corresponding to each of the product PD12-1, the product PD12-2, and the product PD12-3 from the store information storage unit 121. Further, according to the example of FIG. 5, the information processing apparatus 100 also extracts the product data of the top three products having the highest evaluation scores from the products corresponding to the search query "Harami" for the store SH13. In such an example, it is assumed that the information processing device 100 specifies the product PD13-1, the product PD13-2, and the product PD13-3 for the store SH13. Then, the information processing device 100 extracts the product data DC1, the product data DC2, and the product data DC3 corresponding to each of the product PD13-1, the product PD13-2, and the product PD13-3 from the store information storage unit 121.

Next, the information processing device 100 is a search result page corresponding to the search query "Harami", and is a search result page in which ranking information and product information of the store are displayed for each of the target stores SH11 to SH13. The search result page P1 is generated (step S7). The search result corresponding to the search query "Harami" is the search result in the search process of step S2. The ranking information of each of the target stores SH11 to SH13 is the ranking information indicating the ranking given in step S4. The product information of each of the target stores SH11 to SH13 is the product data extracted in step S6.

The search result page P1 generated by the information processing apparatus 100 will be described with reference to FIG. FIG. 2 is a diagram showing an example of the search result page P1. As shown in FIG. 2, the information processing apparatus 100 generates a search result page P1 in which the search results RE1, RE2, RE3, and RE4 obtained in step S2 are listed from above. The search result page P1 is generated so that the ranking information in which the ranking information and the product information are put together is displayed in the area AR provided in combination with the above. For example, the ranking information in which the ranking information and the product information of the target store SH11 are put together is the ranking information RK1, and the ranking information in which the ranking information and the product information of the target store SH12 are put together is the ranking information RK2 and the target store SH13. The ranking information in which the ranking information and the product information are put together is referred to as the ranking information RK3. Then, the information processing apparatus 100 generates a search result page P1 in which the ranking information RK1, RK2, and RK3 are listed horizontally in the area AR according to the ranking given in step S4.

The search result page P1 will be described in more detail with reference to the example of FIG. In the area AR, "Harami's store ranking" is displayed, which indicates that the ranking information corresponds to the search query "Harami". Further, in the ranking information RK1, it is displayed that the store SH11 is ranked "1st", and the product data DA1, the product data DA2, and the product data DA3 extracted in step S6 are recommended products. They are listed in a horizontal row. Further, in the ranking information RK2, it is displayed that the store SH12 is ranked "2nd", and the product data DB1, the product data DB2, and the product data DB3 extracted in step S6 are recommended products. They are listed in a horizontal row. Further, in the ranking information R31, it is displayed that the store SH13 is ranked "3rd", and the product data DC1, the product data DC2, and the product data DC3 extracted in step S6 are recommended products. They are listed in a horizontal row.

When the information processing device 100 generates the search result page P1 as described above, the information processing device 100 delivers the generated search result page P1 to the terminal device 10 that is the source of the search query "Harami" (step S8). When the terminal device 10 receives the search result page P1, the terminal device 10 displays the search result page P1 on the display screen as shown in FIG.

In this way, the information processing apparatus 100 presents to the user U1 the ranking information regarding the handling store that handles the product corresponding to the search query "Harami". In addition, the information processing device 100 includes ranking information and products corresponding to the search query "Harami" in the store corresponding to the ranking information, which are often browsed, purchased in large numbers, or have a high sales amount. Is presented as a recommended product.

For example, when the user U1 inputs the search query "Harami", the "Harami" related products of various stores handling the "Harami" related products are presented as the search results, so that the "Harami" of any store is displayed. You may be wondering if you should buy related products. However, according to the information processing of the information processing apparatus 100 according to the embodiment, the store information of the store with the highest ranking among the various stores handling "Harami" related products is displayed together with the search result. By looking at this, it becomes easier to select the store from which to purchase. Therefore, the information processing device 100 according to the embodiment can support the easy selection of the store from which the product is purchased.

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

(About storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 includes a store information storage unit 121, an evaluation information storage unit 122, and a category information storage unit 123. Since the store information storage unit 121 and the evaluation information storage unit 122 have already been described in FIG. 1, detailed description here will be omitted.

(About category information storage unit 123)
The category information storage unit 123 stores the category to which the product belongs (product category) and the relationship between each product category. The category information storage unit 123 is used, for example, when identifying a related product related to a product corresponding to a search query. Here, FIG. 6 shows an example of the category information storage unit 123 according to the embodiment. In the example of FIG. 6, the category information storage unit 123 has items such as "upper category", "intermediate category 1", "intermediate category 2", and "lower category".

The "upper category", "middle category 1", "middle category 2", and "lower category" have a hierarchical structure in these four product categories, and the hierarchy goes down from the "upper category". Correspondingly, the product categories are subdivided into "medium category 1", "medium category 2", "lower category", etc. (the particle size becomes smaller). In the example of FIG. 6, the upper category is “food”, the middle category is 1 “meat”, the middle category is 2 “hormones”, and the lower category is “harami, tongue, heart”. In such an example, the products belonging to the upper category "food" include the products belonging to the middle category 1 "meat", and further, the products belonging to the middle category 1 "meat" include the middle category 2 It is shown that the products belonging to the "hormone" are included, and the products belonging to the middle category 2 "hormone" include the products belonging to the lower category "Harami, Tan, Hatsu". In addition, each product in a hierarchical relationship, for example, a product belonging to the middle category 2 and a product belonging to the lower category can be said to be related products (related products). In addition, products belonging to the same category, for example, each product belonging to the subcategory "Harami, Tan, Hatsu" (for example, a product of 100 g of Harami and a product of 50 g of Tan) can be said to be related products (related products).

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

As shown in FIG. 4, the control unit 130 includes a reception unit 131, a search unit 132, an addition unit 133, an extraction unit 134, a generation unit 135, a presentation unit 136, and a calculation unit 137. Realize or execute the information processing functions and actions described below. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it is a configuration for performing information processing described later. Further, the connection relationship of each processing unit included in the control unit 130 is not limited to the connection relationship shown in FIG. 4, and may be another connection relationship.

(About reception desk 131)
The reception unit 131 accepts a search query for searching for a product. Specifically, the reception unit 131 receives a search query for searching for a product from the terminal device 10. For example, the reception unit 131 receives the search query from the terminal device 10 when the search query is input to the predetermined search input field while the YS shopping is being accessed and the search button is pressed. Further, for example, the reception unit 131 receives a search query including a user ID from the terminal device 10.

(About search unit 132)
The search unit 132 performs the search process described in step S2 of FIG. Specifically, when a search query is received by the reception unit 131, the search unit 132 performs a search process for searching for a product corresponding to the search query. For example, the search unit 132 searches for a store that handles products corresponding to the search query, and executes a search process for searching for a product corresponding to the search query from the products handled by the searched store. For example, the search unit 132 executes a search process on the store information storage unit 121.

(About granting unit 133)
The granting unit 133 performs the process described in steps S3 and S4 of FIG. Specifically, the granting unit 133 identifies the store corresponding to the search query and ranks the identified search query to give a ranking. More specifically, the granting unit 133 identifies a store that handles products corresponding to the search query received by the reception unit 131. For example, the granting unit 133 refers to the store information storage unit 121 and identifies a handling store that handles products corresponding to the search query “Harami”. For example, the information processing device 100 refers to the store information storage unit 121, and handles a store that handles a product having a "product name" that matches the search query "Harami", and handles a product that corresponds to the search query "Harami". Identify as a store that handles information. Alternatively, the information processing device 100 handles a store that handles a product in which a description or the like matching the search query "Harami" is registered as "product data", and handles a product that corresponds to the search query "Harami". Identify as a store.

Then, the granting unit 133 ranks each of the specified handling stores among the stores of each handling store based on the predetermined information of each handling store. For example, the granting unit 133 ranks the stores of each handling store by comparing the sales (an example of predetermined information) between the stores of each handling store with reference to the store information storage unit 121. For example, the granting unit 133 refers to the store information storage unit 121, and based on the sales of the products corresponding to the search query of each handling store (by comparing the sales), the handling store with the higher sales has a higher sales ranking. Is given.

The granting unit 133 may assign a sales ranking based on the "total sales" of the store information storage unit 121, instead of assigning a sales ranking based on the sales of the product corresponding to the search query.

In addition, the granting unit 133 may rank the products corresponding to the search query based on the sales of the related products related to the products corresponding to the search query. For example, the granting unit 133 refers to the category information storage unit 123 and identifies the product category as to what product category the product belongs to is a related product related to the product corresponding to the search query. Then, the granting unit 133 can refer to the store information storage unit 121, specify a product (related product) belonging to the specified product category, and rank the product based on the sales of the specified related product.

This point will be described with reference to the example of the category information storage unit 123 shown in FIG. In addition, the example of FIG. 1 is used as appropriate. Here, it is assumed that the user U1 temporarily inputs the conceptual search query "meat". That is, it is assumed that the reception unit 131 has received the search query "meat". In the example of the category information storage unit 123 shown in FIG. 6, the category with the particle size closest to the search query “meat” is the middle category 1 “meat”. Therefore, in such a case, the granting unit 133 refers to the category information storage unit 123, and the related products related to the product corresponding to the search query “meat” are in a lower category than the middle category 1 “meat”. It is judged to belong to each of the medium category 2 "hormone", the medium category 2 "beef", and the medium category 2 "pork".

Then, the granting unit 133 refers to the store information storage unit 121, identifies products belonging to the middle category 2 “hormone” for each store SH11 to SH14, and based on the sales of the specified products, stores SH11 to SH14. Rank against. Further, the granting unit 133 refers to the store information storage unit 121, identifies products belonging to the middle category 2 “beef” for each store SH11 to SH14, and based on the sales of the specified products, stores SH11 to SH14. Rank against. Further, the granting unit 133 refers to the store information storage unit 121, identifies products belonging to the middle category 2 “pork” for each store SH11 to SH14, and based on the sales of the specified products, stores SH11 to SH14. Rank against. The identification of the related product may be performed by a processing unit other than the granting unit 133.

In addition, the granting unit 133 is not the sales ranking but the evaluation information (an example of predetermined information) between the stores handling the products corresponding to the search query, and is the evaluation information according to the customer satisfaction. Based on this, an evaluation ranking may be given. For example, the granting unit 133 assigns an evaluation ranking based on evaluation information according to customer satisfaction regarding a product corresponding to a search query. In the example of FIG. 1, the granting unit 133 assigns an evaluation ranking based on evaluation information according to customer satisfaction regarding a product corresponding to the search query "Harami". Further, as an example of the evaluation information, there is a "satisfaction score" of the store information storage unit 121.

The "satisfaction score" indicates a satisfaction score that quantifies the customer satisfaction for the corresponding store itself, or a satisfaction score that quantifies the customer satisfaction for each product handled at the corresponding store. The satisfaction score is a series of transactions related to the purchased product (for example, the store responded promptly or the quality of the delivered product was good) each time the user who used the corresponding store purchased the product. It is calculated based on the evaluation value (for example, 3 stars, etc.) given with reference to whether the packing status was polite, etc.). In the example of FIG. 1, the satisfaction score "Sco11-1" indicates the satisfaction score calculated based on the evaluation value given by each user regarding the transaction with the store SH11 when the product PD11-1 is purchased. .. The information processing device 100 may calculate the total satisfaction score for each store by adding the satisfaction score associated with each product handled for each store. Further, such a satisfaction score is calculated by the calculation unit 137, which will be described later.

Returning to the explanation, the granting unit 133 calculates the total satisfaction score, which is the sum of the satisfaction scores of the products corresponding to the search query "Harami" among the satisfaction scores associated with the store SH11. In addition, the granting unit 133 similarly calculates the total satisfaction score for the store SH12, the store SH13, and the store SH14. Then, the granting unit 133 compares the total satisfaction scores of the store SH11, the store SH12, the store SH13, and the store SH14, and assigns a higher evaluation ranking to the handling store having a higher value.

(About extraction unit 134)
The extraction unit 134 performs the process described in steps S5 and S6 of FIG. Specifically, the extraction unit 134 extracts a target store (target store) to which the ranking information is presented from the handling stores based on the ranking information indicating the sales ranking or the evaluation ranking. In addition, the extraction unit 134 extracts the product information of the product corresponding to the search query for each target store. For example, the extraction unit 134 extracts product information related to products corresponding to the search query for each target store. For example, the extraction unit 134 extracts product information from the products corresponding to the search query based on a predetermined evaluation value related to the product. As an example, the extraction unit 134 refers to an evaluation value based on the censorship information for the product corresponding to the search query, an evaluation value based on the number of purchases of the product corresponding to the search query, or a product corresponding to the search query. Based on at least one product information of the evaluation value based on the sales amount, for example, product information related to the top predetermined number of products having a high evaluation value is extracted. The evaluation value based on the censorship information for the product corresponding to the search query is, for example, the number of times (the number of impressions) displayed when the product information of the product corresponding to the search query is displayed as the search result. This search result is the number of selected selections (number of clicks) and the selection rate (click rate).

The extraction unit 134 may extract the product data of the top three products having a high evaluation score described in FIG. 5 among the related products related to the search query as the products corresponding to the search query. For example, the information processing device 100 refers to the category information storage unit 123, and specifies the product category to which the product belongs to the product category related to the product corresponding to the search query. Then, the extraction unit 134 refers to the store information storage unit 121 and identifies a product (related product) belonging to the specified product category. Further, by referring to the extraction unit 134 and the evaluation information storage unit 122, it is possible to extract the product data of the products of the top three products having the highest evaluation scores among the specified related products. This point will be described with reference to the examples of FIGS. 1 and 6.

For example, in the example of the category information storage unit 123 shown in FIG. 6, the product category with the particle size closest to the search query “Harami” is the subcategory “Harami”. Therefore, the extraction unit 134 determines, for example, that the product belonging to the lower category "tan", which is also the lower category, is a related product related to the product corresponding to "Harami" in the search query. Then, the extraction unit 134 refers to the store information storage unit 121, and identifies the products belonging to the lower category “tan” for each of the target stores SH11 to SH13. Further, the extraction unit 134 refers to the evaluation information storage unit 122, and extracts the product data of the products of the top three products having the highest evaluation scores among the products belonging to the specified lower category "tan" for each store SH11 to SH13. do. The related product may be specified by a processing unit other than the extraction unit 134.

(About generator 135)
The generation unit 135 performs the process described in step S7 of FIG. Specifically, the generation unit 135 generates a search result page which is a search result page corresponding to a search query and is a search result page in which ranking information and product information of the target store are displayed for each target store. do. More specifically, as shown in FIG. 2, the generation unit 135 is a search result page in which the search results by the search unit 132 are displayed in a list from above, and is provided in a mixed manner in the list display. A search result page is generated in which ranking information in which ranking information and product information are put together is displayed in the area AR to be created.

(About presentation 136)
The presentation unit 136 presents ranking information regarding the stores handling the products corresponding to the search query received by the reception unit 131. For example, the presentation unit 136 presents, as the ranking information, ranking information indicating the sales ranking in the stores extracted based on the sales ranking among the stores handling the products corresponding to the search query. For example, the presentation unit 136 displays the sales ranking in the stores extracted based on the sales ranking among the stores handling the related products related to the products corresponding to the search query as the ranking information as the products corresponding to the search query. The ranking information indicating is presented. Further, for example, the presentation unit 136 presents the ranking information indicating the sales ranking in the store extracted based on the sales ranking of the products corresponding to the search query as the ranking information.

In addition, the presentation unit 136 indicates, as the ranking information, the evaluation ranking among the stores handling the products corresponding to the search query, and the evaluation ranking in the stores extracted based on the evaluation ranking according to the customer satisfaction. Present ranking information. For example, the presentation unit 136 presents, as the ranking information, ranking information indicating the evaluation ranking in the store extracted based on the evaluation ranking according to the customer satisfaction of the product corresponding to the search query. In addition, the presentation unit 136 presents the ranking information of the store for each store. The presentation unit 136 presents the ranking information in the search result page by delivering the search result page generated by the generation unit 135.

In addition, the presentation unit 136 presents product information regarding products handled in the store and corresponding to the search query for each store (target store) in which the ranking information is presented. For example, the presentation unit 136 presents as product information product information related to a product extracted based on a predetermined evaluation value related to the product among the products corresponding to the search query. For example, the presentation unit 136 has at least one of, as a predetermined evaluation value, an evaluation value based on the censorship information for the product, an evaluation value based on the number of purchases of the product, or an evaluation value based on the sales amount of the product. Present the product information about the products extracted based on the above. The presentation unit 136 presents the product information in the search result page by delivering the search result page generated by the generation unit 135.

(About calculation unit 137)
The calculation unit 137 calculates an evaluation value for a store or a product. For example, the calculation unit 137 calculates a satisfaction score that quantifies the customer satisfaction for the store itself, or a satisfaction score that quantifies the customer satisfaction for each of the products handled at the store. For example, the calculation unit 137 indicates that every time a user who uses a store purchases a product, for example, a series of transaction contents related to the purchased product (for example, the store responded promptly or the quality of the delivered product is good). The satisfaction score is calculated based on the evaluation value (for example, 3 stars, etc.) given with reference to (whether the packing condition was polite).

In addition, the calculation unit 137 calculates an evaluation value based on the censorship information for the product (for example, the product corresponding to the search query), an evaluation value based on the number of purchases of the product, and an evaluation value based on the sales amount for the listed product. do.

[3. Processing procedure]
Next, the procedure of information processing according to the embodiment will be described with reference to FIG. 7. FIG. 7 is a flowchart showing an information processing procedure according to the embodiment.

First, the reception unit 131 determines whether or not the search query for searching the product has been received from the terminal device 10 (step S101). If the reception unit 131 does not accept the search query (step S101; No), the reception unit 131 waits until it accepts the search query. On the other hand, when the search query is received by the reception unit 131 (step S101; Yes), the search unit 132 performs a search process for searching for a product corresponding to the search query (step S102).

Next, the granting unit 133 identifies the handling store that handles the product corresponding to the search query (step S103). Then, the granting unit 133 ranks the specified handling stores among the stores of each handling store based on the predetermined information of each handling store (step S104). For example, the granting unit 133 ranks the stores of each handling store based on the sales information and evaluation information of each handling store.

Next, the extraction unit 134 extracts the target store (target store) to which the ranking information is presented from the handling stores based on the sales ranking or the evaluation ranking given in step S103 (step S105). In addition, the extraction unit 134 extracts product information related to the product corresponding to the search query for each target store (step S105).

Next, the generation unit 135 generates a search result page which is a search result page corresponding to the search query and is a search result page in which the ranking information and the product information of the target store are displayed for each target store ( Step S106). Then, the presentation unit 136 distributes the search result page generated in step S106 to the terminal device 10 (step S107).

[4. Modification example]
The information processing apparatus 100 according to the above embodiment may be implemented in various different forms other than the above embodiment. Therefore, another embodiment of the information processing apparatus 100 will be described below.

[4-1. Presentation according to attribute information]
In the above embodiment, as shown in FIG. 2, the presentation unit 136 shows an example in which the ranking information in which the ranking information and the product information are put together is presented in the search result page. In addition, such product information includes an evaluation value based on censorship information for the product corresponding to the search query, an evaluation value based on the number of purchases of the product corresponding to the search query, or a sales amount for the product corresponding to the search query. It was also explained that it is at least one of the evaluation values based on. However, such product information may be product information related to the product extracted based on the attribute information of the user. Specifically, as the product information, the presentation unit 136 presents the product information related to the product extracted based on the attribute information of the user searched by using the search query among the products corresponding to the search query. That is, among the products corresponding to the search query, the extraction unit 134 stores the product information of the product corresponding to the attribute information based on the attribute information of the user searched by using the search query, for example, the store information storage unit. Extract from 121. Using the example of FIG. 1, the extraction unit 134 does not extract the product information based on the evaluation value (evaluation score) in step S6, but based on the attribute information of the user U1 searched using the search query “Harami”. Then, the product information of the product corresponding to this attribute information is extracted for each of the target stores SH11 to SH13, for example, three by three.

The attribute information of the user U1 will be described as "male in his 40s". The attribute information is not limited to age or gender. For example, since the user U1 is a "male in his 40s", there is a possibility that a large number of family members are trying to purchase Harami-related products for grilled meat. Therefore, the extraction unit 134 is handled by the target store SH11. Among the Harami-related products, for example, three product data of Harami-related products for a relatively large number of people, such as "Yakiniku set containing Harami" or "Harami 500g", are extracted. Similarly, the extraction unit 134 also extracts product data for the target stores SH12 and SH13. In addition, the generation unit 135 uses this product data to generate the search result page P1 as in the past, and the presentation unit 136 distributes the generated search result page P1.

In this way, the information processing device 100 according to the embodiment can recommend the product in the ranking information personalized according to the user who performed the search, and thus supports the user in selecting the store to purchase. Not only can you do this, but you can also help if you're wondering which product to buy.

[4-2. Presentation according to the content viewed immediately before]
Further, when the product browsed immediately before being searched by using the search query is a product corresponding to this search query, the presentation unit 136 is browsed as product information immediately before being searched by using the search query. Present product information about the product. That is, when the product browsed immediately before being searched by using the search query is a product corresponding to this search query, the extraction unit 134 is browsed as product information immediately before being searched by using the search query. For example, the product information related to the product is extracted from the store information storage unit 121. Using the example of FIG. 1, the extraction unit 134 does not extract the product information based on the evaluation value (evaluation score) in step S6, but responds to the user U1 searching using the search query “Harami”. , It is determined whether or not the product introduced on the page accessed immediately before the user U1 searches with the search query "Harami" is related to the product corresponding to the search query "Harami". Then, when it is determined that the extraction unit 134 is related, the extraction unit 134 presents the product information related to the product introduced on the page accessed immediately before the user U1 searches with the search query "Harami". This point will be described in more detail with reference to the example of FIG.

For example, it is assumed that the user U1 inputs the search query "Harami" in the query input field included in the product page related to "Tan". That is, it is assumed that the user U1 has accessed the product page related to "Tan" immediately before searching with the search query "Harami". In such a case, the extraction unit 134 determines that the product introduced on the page accessed immediately before the search by the search query "Harami" is related to the product corresponding to the search query "Harami". For example, the extraction unit 134 can determine whether or not it is related by referring to the category information storage unit 123. Then, the extraction unit 134 extracts the product data of the “tan” related product from the store information storage unit 121 among the products handled by the target store SH11. Similarly, the extraction unit 134 also extracts product data for the target stores SH12 and SH13. In addition, the generation unit 135 uses this product data to generate the search result page P1 as in the past, and the presentation unit 136 distributes the generated search result page P1.

In this way, the information processing device 100 does not simply recommend products based on past browsing history and purchase history, but includes product information of products browsed (purchased) immediately before the search is performed in the ranking information. Can be presented. In the above example, since the user U1 is browsing the Harami-related product immediately after browsing the Tan-related product, there is a possibility that he / she is wondering whether to purchase the Tan-related product or the Harami-related product. .. If you get lost in this way, you may give up on the purchase itself, but by recommending ton-related products along with the store ranking, user U1 can use good ton-related products if the store is ranked high. It may lead to purchase because it is considered to be dealing with. Therefore, the information processing apparatus 100 according to the embodiment can increase the purchasing motivation.

[4-3. Narrowing down stores]
In addition, the presentation unit 136 presents ranking information regarding stores that handle products corresponding to the search query and that have an evaluation record of a predetermined value or more or a sales record of a predetermined amount or more. In the example of FIG. 1, in step S3, the granting unit 133 shows an example of specifying the handling store that handles the product corresponding to the search query. At this time, the granting unit 133 is among the specified handling stores. From, further, the handling stores having the evaluation record of the predetermined value or more or the sales record of the predetermined amount or more are narrowed down. Then, the granting unit 133 ranks the narrowed down handling stores. For this reason, the ranking information narrowed down only to the stores having a certain level of evaluation and sales is presented, so that the information processing apparatus 100 presents the ranking information with high satisfaction to the user. be able to.

[4-4. Number of searches (1)]
Further, among the search queries received by the reception unit 131, the presentation unit 136 receives a search query in which the actual value of the number of searches performed using the search query is equal to or greater than a predetermined value, which is received by the reception unit 131 this time. If so, the ranking information will be presented. For example, the reception unit 131 totals the number of searches in the search query for each search query received so far. In such a state, when the reception unit 131 receives the search query this time, it determines whether or not the aggregation result in the received search query is equal to or greater than a predetermined value. Then, when the aggregation result in the received search query is equal to or more than a predetermined value, the reception unit 131 performs a series of processes for presenting the ranking information (ranking information shown in FIG. 2) in the flow described so far. To advance. On the other hand, the reception unit 131 does not display the ranking information (ranking information shown in FIG. 2) when the aggregation result in the received search query is not equal to or more than a predetermined value.

As a result, the information processing apparatus 100 presents ranking information when, for example, the search query "Sakuranbo Yamagata" (search count predetermined value or more) is received, but the search query "Sakuranbo Yamagata Mother's Day" (search count). It is possible to create a situation in which ranking information is not presented when (less than a predetermined value) is accepted. Therefore, the information processing device 100 can provide a search result page that does not make the user bored.

The more complicated the content of the search query, such as the search query "Cherry Yamagata Mother's Day", the fewer products will be hit, and the fewer products will be hit, the smaller the number of search results. When the number of search results is small, the user can easily check all the search results, so that it is considered that there is no problem in selecting a store. On the other hand, if the content of the search query is simple or if a popular search query is input, the number of search results will increase, and the user will have trouble selecting a store. In such a case, since the information processing apparatus 100 can present the ranking information, the ranking information can be effectively sorted according to the situation.

[4-5. Number of searches (2)]
In addition, when the reception unit 131 receives a search query in which the actual value of the number of searches in the search query is less than a predetermined value among the search queries composed of a plurality of keywords, the presentation unit 136 performs the search. If at least one of the keywords that make up the query is excluded and the actual value of the number of searches in the search query after the keyword is excluded is greater than or equal to this predetermined value, the ranking Present information. First, a search query composed of a plurality of keywords indicates, for example, a search in which a plurality of keywords are input in an input field for AND search.

For example, the reception unit 131 aggregates the number of searches in the search query for each search query that has been received so far and is composed of a plurality of keywords. In such a state, assuming that the reception unit 131 receives the search query Q11 composed of three keywords such as "cherry", "Yamagata", and "Mother's Day" this time, the aggregation result corresponding to the search query Q11 is obtained. Is determined whether or not is equal to or greater than a predetermined value. Then, when the aggregation result corresponding to the search query Q11 is equal to or more than a predetermined value, the reception unit 131 performs a series of processes for presenting the ranking information (ranking information shown in FIG. 2) in the flow described so far. To advance.

On the other hand, when the total result in the search query Q11 is less than the predetermined value, the reception unit 131 has at least one of the keywords "cherry", "Yamagata", and "Mother's Day" that constitute the search query Q11. Exclude one keyword. For example, it is assumed that the reception unit 131 excludes the keyword "Mother's Day". Then, the reception unit 131 determines whether or not the aggregation result corresponding to the excluded search query Q11 (referred to as the search query Q12) excluding the keyword "Mother's Day" is equal to or greater than a predetermined value. Then, when the aggregation result corresponding to the search query Q12 is equal to or greater than a predetermined value, the reception unit 131 performs a series of processes for presenting the ranking information (ranking information shown in FIG. 2) in the flow described so far. To advance. That is, when the aggregation result corresponding to the search query Q12 is equal to or more than a predetermined value, the presentation unit 136 handles the product corresponding to the search query Q12 composed of two keywords such as "cherry" and "Yamagata". Present ranking information about the stores you are in.

As a result, when the number of searches in the search query containing the plurality of keywords is less than the predetermined value, the information processing apparatus 100 edits the search query by excluding the predetermined keywords from the plurality of keywords. Therefore, it is possible to increase the chances of presenting ranking information.

In the above example, when the total result in the search query Q11 is less than the predetermined value, the reception unit 131 uses the keywords "cherry", "Yamagata", and "Mother's Day" that constitute the search query Q11. Among them, an example of excluding the keyword "Mother's Day" is shown. However, by excluding the keywords in various combinations, the reception unit 131 can find out in what combination the keywords corresponding to the searched query after exclusion will be the predetermined value or more. For example, what if the reception department 131 excludes the keyword "cherry" from "cherry", "Yamagata", and "Mother's Day", or "cherry", "Yamagata", and "Mother's Day"? From the list, what kind of combination should be used to exclude the keyword "Yamagata", and so on, to find out whether the aggregated result corresponding to the excluded search query will be greater than or equal to the predetermined value.

In addition, the reception department 131 excludes the keywords "cherry" and "Mother's Day" if the keywords "cherry" and "Yamagata" are excluded from "cherry", "Yamagata", and "Mother's Day". If you do, or if you exclude the keywords "Yamagata" and "Mother's Day", what kind of combination should you exclude the keywords so that the aggregated result corresponding to the excluded search query is more than the specified value? You can also find out if it becomes.

In the above example, the reception unit 131 determines whether or not the aggregation result is equal to or higher than a predetermined value, but such processing may be performed by a processing unit other than the reception unit 131. For example, the information processing apparatus 100 may have an aggregation unit, a determination unit, or the like that performs such processing.

[5. Hardware configuration]
Further, the information processing apparatus 100 according to the above embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 8 is a hardware configuration diagram showing an example of a computer 1000 that realizes the functions of the information processing device 100. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

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

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

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

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

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

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

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

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

1 Information processing system 10 Terminal device 100 Information processing device 120 Storage unit 121 Store information storage unit 122 Evaluation record storage unit 123 Category information storage unit 130 Control unit 131 Reception unit 132 Search unit 133 Grant unit 134 Extraction unit 135 Generation unit 136 Presentation unit 137 Calculation unit

Claims (18)

A reception department that accepts search queries to search for products,
Based on the comparison result of comparing the actual sales information of each store among the stores handling the products corresponding to the search query received by the reception department , according to the ranking assigned to each store. An information processing device having a presenting unit that presents ranking information indicating the ranking in the extracted store. As the ranking information, the presentation unit is a result of ranking each of the stores based on the comparison result of comparing the sales of each store among the stores handling the products corresponding to the search query. The information processing apparatus according to claim 1, wherein ranking information indicating the sales ranking in a store extracted according to a certain sales ranking is presented. The presenting unit uses the ranking information as the comparison result in which the sales of each store are compared between the stores handling the related products related to the product corresponding to the search query as the products corresponding to the search query. The information according to claim 1 or 2, wherein the ranking information indicating the sales ranking in the stores extracted according to the sales ranking, which is the result of ranking for each of the stores, is presented. Processing equipment. 2. The information processing apparatus according to 3. As the ranking information, the presentation unit is evaluation information evaluated for each store among stores handling products corresponding to the search query, and the evaluation information evaluated for customer satisfaction is compared. 3. The information processing device according to any one. As the ranking information, the presentation unit presents ranking information indicating the evaluation ranking in the store extracted according to the evaluation ranking in the evaluation information in which the customer satisfaction with respect to the product corresponding to the search query is evaluated. The information processing apparatus according to claim 5, wherein the information processing apparatus is to be used. The information processing device according to any one of claims 1 to 6, wherein the presentation unit presents the ranking information of the store for each store. Claims 1 to 7 are characterized in that the presenting unit presents product information relating to a product handled in the store and corresponding to the search query for each store in which the ranking information is presented. The information processing apparatus according to any one of the above. The information processing device according to claim 8, wherein the presenting unit presents product information related to a product extracted based on a predetermined evaluation value of the product among the products as the product information. As the predetermined evaluation value, the presenting unit is at least one of an evaluation value based on the censorship information for the product, an evaluation value based on the number of purchases of the product, and an evaluation value based on the sales amount of the product. The information processing apparatus according to claim 9, wherein product information about a product extracted based on one of the products is presented. The presenting unit according to claim 8 to 10 is characterized in that, as the product information, the product information relating to the product extracted based on the attribute information of the user searched by using the search query among the products is presented. The information processing device according to any one. When the product browsed immediately before being searched by using the search query is a product corresponding to the search query, the presenting unit browses as the product information immediately before being searched by using the search query. The information processing apparatus according to any one of claims 8 to 11, wherein the information processing device is characterized by presenting product information about the product. The presenting unit presents the ranking information of stores that handle products corresponding to the search query received by the reception unit and have an evaluation record of a predetermined value or more or a sales record of a predetermined amount or more. The information processing apparatus according to any one of claims 1 to 12, wherein the information processing apparatus is used. The presenting unit presents the ranking information when the reception unit receives a search query in which the actual value of the number of searches in the search query is equal to or greater than a predetermined value among the search queries. The information processing apparatus according to any one of claims 1 to 13. When the reception unit receives a search query in which the actual value of the number of searches in the search query is less than a predetermined value among the search queries composed of a plurality of keywords, the presentation unit uses the search query. When at least one of the plurality of constituent keywords is excluded and the actual value of the number of searches in the search query after the keyword is excluded is equal to or greater than the predetermined value, the ranking is described. The information processing apparatus according to any one of claims 1 to 14, characterized in that information is presented. The information processing device according to any one of claims 1 to 15, wherein the presenting unit presents the ranking information together with a search result corresponding to the search query. It is an information processing method executed by an information processing device.
The reception process that accepts search queries to search for products,
Based on the comparison result of comparing the actual sales information of each store among the stores handling the products corresponding to the search query received by the reception process , according to the ranking assigned to each store. An information processing method including a presentation process for presenting ranking information indicating the ranking in the extracted store. The reception procedure for accepting search queries to search for products, and
Based on the comparison result of comparing the actual sales information of each store among the stores handling the products corresponding to the search query received by the reception procedure , according to the ranking assigned to each store. An information processing program characterized by having a computer execute a presentation procedure for presenting ranking information indicating the ranking in the extracted store.

Images