JP6761710B2 - Decision device, decision method, and decision program - Google Patents

Description

The present invention relates to a determination device, a determination method, and a determination program.

Conventionally, a technique for determining a ranking (ranking) in a search result corresponding to a predetermined search query (hereinafter, also simply referred to as “query”) has been provided. For example, a technique for sorting the order (ranking) of search results based on bookmark information is provided.

Japanese Unexamined Patent Publication No. 2013-037404

However, in the above-mentioned prior art, the ranking of search results is not always properly determined. For example, simply sorting based on bookmark information does not necessarily mean that the sorting order is appropriate when displayed on the terminal device used by the user.

The present application has been made in view of the above, and an object of the present application is to provide a determination device, a determination method, and a determination program for appropriately determining a ranking of search results.

The determination device according to the present application determines the ranking of the search results so that the acquisition unit that acquires the query in the search from the terminal device and the plurality of types corresponding to the query are included in the predetermined range regarding the display of the search results. It is characterized by having a part and.

According to one aspect of the embodiment, there is an effect that the ranking of the search results can be appropriately determined.

FIG. 1 is a diagram showing an example of a determination process according to an embodiment. FIG. 2 is a diagram showing a configuration example of a determination device according to an embodiment. FIG. 3 is a diagram showing an example of the type information storage unit according to the embodiment. FIG. 4 is a diagram showing an example of the index information storage unit according to the embodiment. FIG. 5 is a diagram showing an example of a product information storage unit according to the embodiment. FIG. 6 is a flowchart showing an example of extraction of a query according to an embodiment. FIG. 7 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device.

Hereinafter, the determination device, the determination method, and the embodiment for carrying out the determination program (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the determination device, determination method, and determination program according to the present application. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

(Embodiment)
[1. Decision processing]
An example of the determination process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of a determination process according to an embodiment. In FIG. 1, the determination device 100 includes information corresponding to a plurality of types in the range when the search result corresponding to the query (search query) input by the user is initially displayed on the terminal device 10 used by the user. The case where the ranking of the search result is determined is shown. Further, in the following, each piece of information included in the search result may be described as result information. In the example of FIG. 1, a case where the type is an article name corresponding to a query (hereinafter, also simply referred to as “article”) is shown. That is, in FIG. 1, the determination device 100 determines the ranking of the search results so that the information corresponding to the plurality of articles is included in the range of the 10 result information initially displayed on the terminal device 10. Further, in the example of FIG. 1, each result information included in the search result corresponds to any one of a plurality of types "main body", "case", and "rechargeable battery" related to the article. The type is not limited to the article, and may be any information such as color, size, product category, and the like.

As shown in FIG. 1, the determination system 1 includes a terminal device 10 and a determination device 100. The terminal device 10 and the determination device 100 are communicably connected by wire or wirelessly via a predetermined communication network (not shown). Further, the determination system 1 shown in FIG. 1 may include a plurality of terminal devices 10 and a plurality of determination devices 100.

The terminal device 10 is an information processing device used by the user. The terminal device 10 is realized by, 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 example shown in FIG. 1, a case where the terminal device 10 is a smartphone used by a user is shown. In the following, the terminal device 10 may be referred to as a user. That is, in the following, the user can be read as the terminal device 10. Specifically, FIG. 1 shows a case where the terminal device 10 is a smartphone used by a user identified by the user ID “U1” (hereinafter, may be referred to as “user U1”).

Further, in the example shown in FIG. 1, the terminal device 10 will be described as the terminal devices 10-1 and 10-2 according to the display on the screen of the terminal device 10. The terminal devices 10-1 and 10-2 are the same terminal devices 10. Further, in the following, when the terminal devices 10-1 and 10-2 will be described without particular distinction, they will be referred to as the terminal device 10.

The determination device 100 is an information processing device that determines the ranking of search results so that a plurality of types corresponding to queries are included in a predetermined range related to display of search results. Hereinafter, a predetermined range for determining the ranking so that a plurality of types are included is also referred to as an adjustment range. Further, the determination device 100 provides a search service that provides the terminal device 10 with search results for a query acquired from the terminal device 10. In the example of FIG. 1, the determination device 100 provides the ranking information in which the result information is arranged based on the determined ranking to the terminal device 10 which is the transmission source of the query. In the example shown in FIG. 1, a case where the determination device 100 provides a predetermined commercial transaction service is shown. Further, in the example shown in FIG. 1, the determination device 100 uses an index generated by a predetermined indexer and a predetermined ranking determination logic to search for products provided to the user in the commercial transaction service. The results shall be provided.

First, the determination device 100 acquires a query from the terminal device 10-1 used by the user U1 (step S11). In the example of FIG. 1, the determination device 100 acquires the query “smartphone A” from the terminal device 10-1. In the example shown in FIG. 1, the user U1 inputs the query "smartphone A" into the search window in the page W11 of the shop site A regarding the commercial transaction service provided by the determination device 100 displayed on the screen of the terminal device 10-1. , Press the search button. Then, the terminal device 10-1 transmits the query "smartphone A" to the determination device 100. Further, in the example of FIG. 1, the terminal device 10-1 transmits information indicating that the number of result information included in the initial display of the search result in the terminal device 10 is 10.

The terminal device 10 may transmit information regarding the screen size and font size of the terminal device 10 to the determination device 100. In this case, the determination device 100 may estimate the number of result information included in the initial display of the search result in the terminal device 10 based on the screen size and font size of the terminal device 10. Further, when the determination device 100 has already acquired the information regarding the number of result information included in the initial display of the search result in the terminal device 10, the terminal device 10 has the result information included in the initial display of the search result in the terminal device 10. You do not have to send information about the number of.

The determination device 100 that has acquired the query from the terminal device 10 extracts the product information corresponding to the query (step S12). In the example of FIG. 1, the determination device 100 extracts the product information corresponding to the query from the product information storage unit 123 based on the information stored in the index information storage unit 122.

The index information storage unit 122 shown in FIG. 1 stores information related to an index generated by a predetermined indexer (hereinafter, also simply referred to as “index information”). In the example of FIG. 1, as shown in the index information storage unit 122, an index is generated by a predetermined indexer for each of the product information groups stored in the product information storage unit 123 to be searched. The index information storage unit 122 includes items such as "index ID", "index", "number of products", and "corresponding product".

As shown in the index information storage unit 122 of FIG. 1, the index "smartphone A" identified by the index ID "N11" has the corresponding product information such as product GD1, product GD2, product GD111, product GD112, or product GD1111. Indicates that the product information is related to the product GD1112 or the like. As described above, when "product GD * (* is an arbitrary numerical value)" is described, it means that the product is a product identified by the product ID "GD *". For example, when "Product GD1" is described, the product is a product identified by the product ID "GD1". In FIG. 1, for the sake of simplicity, "# 1", "# 2", "# 50", "# 51", "# 100", and "# 101" are products corresponding to the index. It shall correspond to the order of information. For example, "# 1" in "corresponding products" is assumed to be product information having a ranking of "1st place" among the product information corresponding to the index. For example, among the product information corresponding to the index "smartphone A" identified by the index ID "N11", the product information ranking of the product GD1 is "1st place". As described above, in FIG. 1, it is assumed that the corresponding products corresponding to each index are ranked, but the ranking of the corresponding products corresponding to each index is determined when the query is acquired. It may be done by the ranking determination logic of.

Further, as shown in the product information storage unit 123 of FIG. 1, the product GD1 is a product “smartphone A” and indicates that the product is provided by the store A. Further, the category of the product GD1 indicates that it is a "smartphone body". Further, for example, the product GD111 is a product "case A" and indicates that the product is provided by the store D. Further, the category of the product GD111 indicates that it is a "smartphone accessory". Further, for example, the product GD1111 is the product "charger A" and indicates that the product is provided by the store F. Further, the category of the product GD1111 indicates that it is a "smartphone peripheral device".

In the example shown in FIG. 1, the determination device 100 is based on the index information stored in the index information storage unit 122, and as shown in the corresponding product list LT11, the product GD1 and the product GD2 corresponding to the query “smartphone A” Product information related to the product GD111, the product GD112, the product GD1111, the product GD1112, and the like is extracted from the product information storage unit 123. The determination device 100 extracts product information related to the product GD1, the product GD2, the product GD111, the product GD112, the product GD111, the product GD1112, and the like as the result information of the search result.

After that, the determination device 100 determines the ranking of the result information in the search result (step S13). For example, the determination device 100 determines the ranking of the search results so that the various result information corresponding to the query is included in the 10 initial displays of the search results. In the example of FIG. 1, the determination device 100 has result information corresponding to each of the three types "main body", "case", and "rechargeable battery" corresponding to the query "smartphone A" stored in the type information storage unit 121. Determines the ranking of search results so that is included in the initial display of search results. For example, the determination device 100 determines the ranking of search results based on the ratio of the types selected by a plurality of users using the query.

As shown in the type information storage unit 121 of FIG. 1, it is shown that the types corresponding to the query “smartphone A” are “main body”, “case”, and “rechargeable battery”. Further, in the example of FIG. 1, it is shown that the information corresponding to the type "main body" is selected by the user with a probability of 30% among the search results provided to the user in the search using the query "smartphone A". .. Further, in the example of FIG. 1, it is shown that among the search results provided to the user in the search using the query “smartphone A”, the information corresponding to the type “case” is selected by the user with a probability of 40%. .. Further, in the example of FIG. 1, among the search results provided to the user in the search using the query "smartphone A", the information corresponding to the type "rechargeable battery" was selected by the user with a probability of 30%. Shown. The number of types is not limited to three, and may be various numbers such as two or four or more depending on the query.

Therefore, in the example of FIG. 1, the determination device 100 determines the ranking of the search results based on the ratio of the types selected by the plurality of users using the query. For example, in the determination device 100, the result information corresponding to each of the three articles of "main body", "case", and "rechargeable battery" is displayed as a ratio (ratio) based on the selection rate of each article in the initial display of the search result. Determine the ranking of search results to be included. Specifically, in the determination device 100, since the selectivity "main body: case: rechargeable battery" is "3: 4: 3", the result information corresponding to the "main body" is 3 in the initial display of the search result. The ranking of the search results is determined so that a total of 10 items, 4 pieces of result information corresponding to "case" and 3 pieces of result information corresponding to "rechargeable battery" are included.

In the example of FIG. 1, as shown in the ranking information RK11, the determination device 100 has three result information of the products GD1 to GD3 corresponding to the "main body" and four products GD111 to GD114 corresponding to the "case". The ranking of the search results is determined so that the result information and the three result information of the products GD1111 to GD1113 corresponding to the "charger" are arranged in the 1st to 10th places. Note that FIG. 1 shows a case where 10 search results of the initial display of the search results are arranged according to the ranking for the sake of simplicity, but the result information corresponding to each article should not be continuous as much as possible. You may decide the ranking.

Further, in the example of FIG. 1, the determination device 100 uses the result information of the 11th place as the result of the product GD4, which has the highest ranking "# 4" (4th place) other than the products determined to be the 1st to 10th places. Decide on information. The determination device 100 may determine the ranking lower than the 10th place (from the 11th place) according to a predetermined standard. For example, the determination device 100 ranks 11th to 20th so that the result information corresponding to the three articles is "main body: case: rechargeable battery = 3: 4: 3" as in the 1st to 10th positions. The ranking of search results such as 21st to 30th may be determined.

After that, the determination device 100 provides the terminal device 10 with the search result based on the ranking determined in step S13 (step S14). In the example of FIG. 1, the determination device 100 provides the ranking information RK11 to the terminal device 10-1.

The terminal device 10 provided with the ranking information RK11 from the determination device 100 displays the ranking information RK11 (step S15). In the example of FIG. 1, the display is transitioned from the terminal device 10-1 to the terminal device 10-2.

On the screen of the terminal device 10-2, a page W12 for displaying the search result is displayed. Specifically, on the screen of the terminal device 10-2, a page W12 for displaying the search result corresponding to the query "smartphone A" is displayed. In the example of FIG. 1, in the screen of the terminal device 10-2, the area AR11 corresponding to the initial display of the search result corresponds to the three result information of the products GD1 to GD3 corresponding to the “main body” and the “case”. The four result information of the products GD111 to GD114 and the three result information of the products GD1111 to GD1113 corresponding to the "charger" are displayed side by side.

As described above, the determination device 100 is such that the initial display of the search result includes the result information of each type in the ratio based on the selection ratio based on the ratio of the types selected by the plurality of users using the query. Determine the ranking of search results. In this way, the determination device 100 appropriately determines the ranking of the search results by determining the ranking of the search results so that the plurality of types corresponding to the queries are included in the predetermined range regarding the display of the search results. Can be done.

Further, as described above, the terminal device 10 includes information on the plurality of types by determining the ranking of the search results so that the determination device 100 simultaneously displays the plurality of types on the screen of the terminal device 10. In the embodiment, the search result can be provided to the user. That is, the terminal device 10 can provide the search result to the user in a manner in which various information can be visually recognized in a list. Therefore, the terminal device 10 can display the search result whose ranking is appropriately determined.

In the above example, the case where the determination device 100 determines the ranking of the 10 result information included in the initial display of the search result is shown, but the determination device 100 searches so as to include a plurality of types corresponding to the query. A predetermined range for determining the ranking of the results may be appropriately set. For example, the determination device 100 may determine the ranking of the result information so that the top 100 rankings of the search results include the result information of a plurality of types.

In the above-described example, the case where the determination device 100 determines the ranking by using the article as a type is shown, but the type may be any information as long as it is a type corresponding to the target corresponding to the query. .. For example, the determination device 100 may perform the determination process described above using the product category as a type. In this case, the determination device 100 includes result information corresponding to each category such as "smartphone body", "smartphone accessory", and "smartphone peripheral device" in the initial display of the search result at a ratio based on the selection rate of each category. The ranking of the search results may be determined so as to be obtained. For example, in the determination device 100, when the selection rate "smartphone body: smartphone accessory: smartphone peripheral device" is "2: 4: 4", the result information corresponding to the "smartphone body" is displayed in the initial display of the search result. The ranking of the search results may be determined so as to include 2 pieces, 4 result information corresponding to the "smartphone accessory", and 4 result information corresponding to the "smartphone peripheral device", for a total of 10 pieces.

Further, for example, the determination device 100 may perform the determination process described above using the size of the product as a type. Here, the case where the type is size will be described by taking the case where the query is "TV A" as an example. In this case, in the determination device 100, the result information corresponding to each size of "32 type", "42 type", and "52 type" is used as the selection rate of each size in the initial display of the search result of the query "TV A". The ranking of search results may be determined to be included in a percentage based on. For example, in the determination device 100, when the selectivity "32 type: 42 type: 52 type" is "5: 4: 1", the result information corresponding to "32 type" is 5 in the initial display of the search result. The ranking of the search results may be determined so as to include four result information corresponding to "42 type" and one result information corresponding to "52 type", for a total of 10 pieces. The determination device 100 may perform determination processing based on a type in which a plurality of pieces of information are combined, such as "32-inch silver", "32-inch black", and "42-inch silver".

Further, for example, the determination device 100 may perform the determination process described above using the color of the product as a type. Here, the case where the type is color will be described by taking the case where the query is "wallet A" as an example. In this case, the determination device 100 includes the result information corresponding to each color of "black", "red", and "white" in the initial display of the search result of the query "wallet A" at a ratio based on the selection rate of each color. The ranking of the search results may be determined as follows. For example, when the selection rate "black: red: white" is "2: 2: 6", the determination device 100 displays two result information corresponding to "black" in the initial display of the search result, "red". The ranking of the search results may be determined so as to include two result information corresponding to "" and six result information corresponding to "white", for a total of ten. As described above, the determination device 100 may perform the determination process based on any type.

Further, in the above-described example, the case where the determination device 100 determines the ranking of the search results so that the result information of each type is included in the predetermined range according to the ratio based on the selection rate is shown. May determine the proportion of each type included in the predetermined range based on other information of each type. For example, the determination device 100 may determine the ratio of each type included in the predetermined range based on the result information of each type corresponding to the query.

For example, a case where the number of result information corresponding to the query "smartphone A" is 100 for the "main body", 200 for the "case", and 700 for the "rechargeable battery" will be described below. In this case, since the number of result information "main body: case: rechargeable battery" is "100: 200: 700", the determination device 100 determines the ratio for each type to be "1: 2: 7". Therefore, in the example of FIG. 1, the determination device 100 has one result information corresponding to the "main body" and corresponds to the "case" in the initial display of the search result based on the ratio of the number of result information for each type. The ranking of the search results is determined so that a total of 10 result information including 2 result information and 7 result information corresponding to the "rechargeable battery" are included. The above is an example, and the determination device 100 may appropriately use various information to determine the ratio of each type of result information included in a predetermined range.

Further, in the above-described example, the determination device 100 determines the ranking of the search results so that the result information of each type is included in the predetermined range according to the ratio based on the selection rate, but the determination device 100 determines the ranking. The processing of may be switched as appropriate. For example, the determination device 100 determines a ranking so that the plurality of types described above are included in a predetermined range (hereinafter, also referred to as "first determination process"), and a predetermined ranking different from the first determination process. The ranking may be determined by appropriately switching the process of determining (hereinafter, also referred to as “second determination process”). For example, when there are a plurality of types corresponding to the query, the determination device 100 performs the first determination process of determining the ranking of the search results so that the types corresponding to the query are included in a predetermined range regarding the display of the search results, and performs the query. When there is one type corresponding to, a second determination process different from the first determination process may be performed. Note that the second determination process referred to here may use any ranking determination logic as long as it differs from the first determination process, and may be a determination process based on, for example, the selection rate of each product information. Further, for example, the determination device 100 may determine the ranking based on the designation by the user. For example, the determination device 100 may determine the ranking by the first determination process when the user specifies the first determination process, and may determine the ranking by the second determination process when the user specifies the second determination process. Good. In this case, the determination device 100 may display a screen for accepting the user's designation on the terminal device 10, or may determine whether the first determination process or the second determination process is performed in the vicinity of the search window in the page W11 of the shop site A. A button or the like to be selected may be displayed. By using such a screen, the determination device 100 may acquire the designation by the user.

[2. Configuration of determination device]
Next, the configuration of the determination device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the determination device 100 according to the embodiment. As shown in FIG. 2, the determination device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The determination device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the determination device 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. You may.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network by wire or wirelessly, and transmits / receives information to / from, for example, the terminal device 10 and the provider device 50 included in the determination system 1.

(Memory 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 (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 2, the storage unit 120 according to the embodiment includes a type information storage unit 121, an index information storage unit 122, and a product information storage unit 123.

(Type information storage unit 121)
The type information storage unit 121 according to the embodiment stores various information related to the search. For example, in FIG. 3, the type information storage unit 121 stores information regarding the type corresponding to the query used in the search service provided by the determination device 100. FIG. 3 shows an example of the type information storage unit 121 according to the embodiment. The type information storage unit 121 shown in FIG. 3 has items such as "query ID", "query", "type", and "selection rate".

The "query ID" indicates identification information for identifying the query. "Query" indicates a query. "Type" indicates the type corresponding to the corresponding query. The "selection rate" indicates the ratio of which type of information was selected from the search results provided to the user in the search using the corresponding query.

In the example of FIG. 3, it is shown that the types corresponding to the query “smartphone A” identified by the query ID “Q11” are “main body”, “case”, and “rechargeable battery”. Further, in the example of FIG. 3, it is shown that the information corresponding to the type "main body" is selected by the user with a probability of 30% among the search results provided to the user in the search using the query "smartphone A". .. Further, in the example of FIG. 3, it is shown that among the search results provided to the user in the search using the query “smartphone A”, the information corresponding to the type “case” is selected by the user with a probability of 40%. .. Further, in the example of FIG. 3, among the search results provided to the user in the search using the query "smartphone A", the information corresponding to the type "rechargeable battery" was selected by the user with a probability of 30%. Shown.

In the example of FIG. 3, it is shown that the types corresponding to the query "TV A" identified by the query ID "Q12" are "32 type", "42 type", and "52 type". Further, in the example of FIG. 3, among the search results provided to the user in the search using the query "TV A", the information corresponding to the type "32 type" was selected by the user with a probability of 50%. Shown. Further, in the example of FIG. 3, among the search results provided to the user in the search using the query "TV A", the information corresponding to the type "42 type" was selected by the user with a probability of 40%. Shown. Further, in the example of FIG. 3, among the search results provided to the user in the search using the query "TV A", the information corresponding to the type "52 type" was selected by the user with a probability of 10%. Shown.

In the example of FIG. 3, it is shown that the types corresponding to the query “wallet A” identified by the query ID “Q13” are “black”, “red”, and “white”. Further, in the example of FIG. 3, it is shown that among the search results provided to the user in the search using the query "wallet A", the information corresponding to the type "black" is selected by the user with a probability of 20%. .. Further, in the example of FIG. 3, it is shown that among the search results provided to the user in the search using the query "wallet A", the information corresponding to the type "red" is selected by the user with a probability of 20%. .. Further, in the example of FIG. 3, it is shown that among the search results provided to the user in the search using the query "wallet A", the information corresponding to the type "white" is selected by the user with a probability of 60%. ..

The type information storage unit 121 is not limited to the above, and various information may be stored depending on the purpose. For example, the type information storage unit 121 may store the total number of inputs for each query. Further, for example, the type information storage unit 121 may store information regarding the date and time each time a query is input. Further, for example, the type information storage unit 121 may store information about the user who has input the query.

(Index information storage unit 122)
The index information storage unit 122 according to the embodiment stores various information related to the index. FIG. 4 shows an example of the index information storage unit 122 according to the embodiment. The index information storage unit 122 shown in FIG. 4 has items such as "index ID", "index", and "corresponding product". Further, the "corresponding product" includes items such as "# 1", "# 2", "# 50", "# 51", "# 100", and "# 101".

The "index ID" indicates identification information for identifying the index. "Index" indicates an index (index). "# 1", "# 2", "# 50", "# 51", "# 100", and "# 101" in the "corresponding product" indicate the product information corresponding to the index. In addition, "# 1", "# 2", "# 50", "# 51", "# 100", "# 101" may correspond to the order of the product information corresponding to the index. For example, "# 1" in the "corresponding product" may be the product information whose ranking is "1st" among the product information corresponding to the index. Further, "# 2" in the "corresponding product" may be the product information having the ranking "second place" among the product information corresponding to the index.

In the example of FIG. 4, in the index "smartphone A" identified by the index ID "N11", the corresponding product information is product information related to product GD1, product GD2, product GD111, product GD112, product GD1111, product GD1112, or the like. Indicates that there is.

The index information storage unit 122 is not limited to the above, and various information may be stored depending on the purpose. For example, the index information storage unit 122 may store information regarding the date and time when each index or each product information is added.

(Product Information Storage Unit 123)
The product information storage unit 123 according to the embodiment stores various information related to the product. FIG. 5 shows an example of the product information storage unit 123 according to the embodiment. The product information storage unit 123 shown in FIG. 5 has items such as "product ID", "product", "store", and "category".

The "product ID" indicates identification information for identifying the product. “Product” indicates a specific name or the like of the product. “Store” refers to the provider, or seller, who provides the corresponding product. Further, "category" indicates a category to which the corresponding product belongs.

For example, in the example shown in FIG. 5, the product (product GD1) identified by the product ID "GD1" is the product "smartphone A", indicating that the product is provided by the store A. Further, the category of the product GD1 indicates that it is a "smartphone body". Further, for example, in the example shown in FIG. 5, the product (product GD111) identified by the product ID "GD111" is the product "case A", indicating that the product is provided by the store D. Further, the category of the product GD111 indicates that it is a "smartphone accessory". Further, for example, in the example shown in FIG. 5, the product (product GD1111) identified by the product ID "GD1111" is the product "charger A", indicating that the product is provided by the store F. Further, the category of the product GD1111 indicates that it is a "smartphone peripheral device".

The product information storage unit 123 is not limited to the above, and various information may be stored depending on the purpose. For example, the product information storage unit 123 may store information regarding the date and time when the product information is added and the date and time when the product information is created. Further, for example, the product information storage unit 123 may store information regarding the evaluation value of each store.

(Control unit 130)
Returning to the description of FIG. 2, the control unit 130 is a controller, and is stored in a storage device inside the determination device 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). It is realized by executing various programs (corresponding to an example of a determination program) using the RAM as a work area. Further, the control unit 130 is a controller, and 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. 2, the control unit 130 includes an acquisition unit 131, an extraction unit 132, a determination unit 133, and a provision unit 134, and realizes or executes an information processing function or action described below. ..

(Acquisition unit 131)
For example, the acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires various information from the type information storage unit 121, the index information storage unit 122, and the product information storage unit 123. For example, the acquisition unit 131 acquires a query in the search from the terminal device 10. In the example of FIG. 1, the acquisition unit 131 acquires a query from the terminal device 10 used by the user U1.

Further, the acquisition unit 131 may acquire various information from an external information processing device. For example, the acquisition unit 131 acquires a query from the terminal device 10 used by the user U1. In the example of FIG. 1, the acquisition unit 131 acquires a query from the terminal device 10-1 used by the user U1. In the example of FIG. 1, the acquisition unit 131 acquires the query “smartphone A” from the terminal device 10-1.

In addition, the acquisition unit 131 acquires from the user who uses the terminal device 10 whether to perform the search process by query in the first determination process or the second determination process. For example, the acquisition unit 131 acquires a designation to perform a first determination process for determining the ranking of search results so that a plurality of types corresponding to the query are included in a predetermined range related to the display of the search results. For example, the acquisition unit 131 acquires the designation to perform the second determination process for determining the ranking based on the predetermined ranking determination logic.

(Extractor 132)
The extraction unit 132 extracts various information. For example, the extraction unit 132 extracts the search result corresponding to the query. For example, the extraction unit 132 extracts the search results corresponding to the query acquired by the acquisition unit 131. For example, the extraction unit 132 extracts the search result corresponding to the query transmitted from the terminal device 10.

In the example of FIG. 1, the extraction unit 132 extracts the product information corresponding to the query acquired from the terminal device 10. In the example of FIG. 1, the extraction unit 132 extracts the product information corresponding to the query from the product information storage unit 123 based on the information stored in the index information storage unit 122. In the example shown in FIG. 1, the extraction unit 132 may use the product GD1 or the product GD2 corresponding to the query "smartphone A" based on the index information stored in the index information storage unit 122, as shown in the corresponding product list LT11. Product information related to product GD111, product GD112, product GD1111, product GD1112, and the like is extracted from the product information storage unit 123. Further, for example, the extraction unit 132 extracts the product information related to the product GD1, the product GD2, the product GD111, the product GD112, the product GD1111, the product GD1112, and the like as the result information of the search result.

(Decision unit 133)
The determination unit 133 determines various information. For example, the determination unit 133 determines the ranking of search results so that a plurality of types corresponding to the query are included in a predetermined range regarding the display of the search results. For example, the determination unit 133 determines the ranking of the information related to each type included in the search result so that the information related to each type corresponding to the query is included in a predetermined range regarding the display of the search result. For example, the determination unit 133 determines the ranking of the search results based on the ratio of the types selected by a plurality of users using the query. For example, the determination unit 133 determines the ranking of the search results based on the ratio of the categories using the query in the user's search history. For example, the determination unit 133 determines the ranking of the search results so that a plurality of types are simultaneously displayed on the screen of the terminal device 10. For example, the determination unit 133 determines the ranking of the search results so that when the search results are initially displayed on the screen of the terminal device 10, a plurality of types are displayed at the same time.

For example, the determination unit 133 determines the ranking of the search results extracted by the extraction unit 132. In the example of FIG. 1, the determination unit 133 determines the ranking of the result information in the search result. For example, the determination unit 133 determines the ranking of the search results so that the various result information corresponding to the query is included in the 10 initial displays of the search results. In the example of FIG. 1, the determination unit 133 corresponds to the result information corresponding to each of the three types "main body", "case", and "rechargeable battery" corresponding to the query "smartphone A" stored in the type information storage unit 121. Determines the ranking of search results so that is included in the initial display of search results. For example, the determination unit 133 determines the ranking of the search results based on the ratio of the types selected by a plurality of users using the query. For example, the determination unit 133 determines the ranking of the search results based on the ratio of the types corresponding to the information regarding the types selected by the plurality of users using the query.

In the example of FIG. 1, the determination unit 133 determines the ranking of the search results based on the ratio of the types selected by a plurality of users using the query. For example, the determination unit 133 includes the result information corresponding to each of the three categories of "main body", "case", and "rechargeable battery" in the initial display of the search result at a ratio based on the ratio of the selection rate of each category. Determine the ranking of search results so that Specifically, since the selection ratio "main body: case: rechargeable battery" of the determination unit 133 is "3: 4: 3", the result information corresponding to the "main body" is 3 in the initial display of the search result. The ranking of the search results is determined so that a total of 10 items, 4 pieces of result information corresponding to "case" and 3 pieces of result information corresponding to "rechargeable battery" are included.

In the example of FIG. 1, as shown in the ranking information RK11, the determination unit 133 has three result information of the products GD1 to GD3 corresponding to the "main body" and four products GD111 to GD114 corresponding to the "case". The ranking of the search results is determined so that the result information and the three result information of the products GD1111 to GD1113 corresponding to the "charger" are arranged in the 1st to 10th places. Further, in the example of FIG. 1, for example, the determination unit 133 sets the result information of the 11th place to the product GD4 which is the highest ranking "# 4" (4th place) other than the products determined to be the 1st to 10th places. Determine the result information of.

For example, when there are a plurality of types corresponding to the query, the determination unit 133 performs the first determination process of determining the ranking of the search results so that the types corresponding to the query are included in a predetermined range regarding the display of the search results. When there is one type corresponding to the query, a second determination process different from the first determination process is performed. For example, the determination unit 133 performs either the first determination process or the second determination process based on the designation acquired by the acquisition unit 131.

(Providing section 134)
The providing unit 134 provides various information to an external information processing device. For example, the providing unit 134 provides the search result based on the ranking determined by the determining unit 133 to the external information processing device. For example, the providing unit 134 provides the search result based on the ranking determined by the determining unit 133 to the terminal device 10 which is the transmission source of the query.

For example, the providing unit 134 provides ranking information to the terminal device 10 used by the user U1. For example, the providing unit 134 provides the terminal device 10 with a search result based on the ranking determined by the determining unit 133. In the example of FIG. 1, the providing unit 134 provides the ranking information RK11 to the terminal device 10-1.

[3. Decision processing flow]
Here, the procedure of the determination process by the determination device 100 according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an example of extraction of a query according to an embodiment.

As shown in FIG. 6, the determination device 100 acquires a query (step S101). In FIG. 1, the determination device 100 acquires a query from the terminal device 10. After that, the determination device 100 extracts the information corresponding to the query (step S102). In FIG. 1, the determination device 100 extracts the product ID corresponding to the query from the index information storage unit 122, and extracts the product information corresponding to the extracted product ID from the product information storage unit 123. In the example shown in FIG. 1, the determination device 100 has the product GD1, the product GD2, the product GD111, the product GD112, the product GD1111 and the like corresponding to the query "smartphone A" based on the index information stored in the index information storage unit 122. Product information related to product GD1112 and the like is extracted from the product information storage unit 123.

Further, the determination device 100 acquires the type information corresponding to the query (step S103). For example, the determination device 100 acquires the type information corresponding to the query from the type information storage unit 121. In the example of FIG. 1, the determination device 100 acquires information on the selectivity of the type "main body", "case", "rechargeable battery", etc. corresponding to the query "smartphone A" stored in the type information storage unit 121. ..

Further, the determination device 100 acquires an adjustment range for adjusting the ratio (step S104). In FIG. 1, the determination device 100 acquires information indicating that 10 of the search results included in the initial display are within the adjustment range (predetermined range) from the terminal device 10. For example, the determination device 100 acquires a range included in the initial display of the search result in the terminal device 10 from the terminal device 10 as an adjustment range. In the example of FIG. 1, the determination device 100 acquires information indicating that the number of result information included in the initial display of the search result in the terminal device 10 is 10 from the terminal device 10 as an adjustment range.

After that, the determination device 100 determines the ranking of the extracted information based on the adjustment range and the type information (step S105). In the example of FIG. 1, as shown in the ranking information RK11, the determination device 100 has three result information of the products GD1 to GD3 corresponding to the "main body" and four products GD111 to GD114 corresponding to the "case". The ranking of the search results is determined so that the result information and the three result information of the products GD1111 to GD1113 corresponding to the "charger" are included in the ten initial displays.

After that, the determination device 100 provides ranking information (step S106). In FIG. 1, the determination device 100 provides the ranking information RK11 to the terminal device 10.

[4. effect〕
As described above, the determination device 100 according to the embodiment has an acquisition unit 131 and a determination unit 133. The acquisition unit 131 acquires a query in the search from the terminal device 10. The determination unit 133 determines the ranking of the search results so that the plurality of types corresponding to the query are included in the predetermined range regarding the display of the search results.

As a result, the determination device 100 according to the embodiment appropriately ranks the search results by determining the ranking of the search results so that the plurality of types corresponding to the queries are included in the predetermined range regarding the display of the search results. Can be decided.

Further, in the determination device 100 according to the embodiment, the determination unit 133 determines the ranking of the search results based on the ratio of the types selected by the plurality of users using the query.

As a result, the determination device 100 according to the embodiment is based on the ratio of the types selected by a plurality of users using the query, and the initial display of the search result includes the result information of each type at the ratio based on the selection rate. Determine the ranking of search results so that In this way, the determination device 100 can appropriately determine the ranking of the search results.

Further, in the determination device 100 according to the embodiment, the determination unit 133 determines the ranking of the search results based on the ratio of the categories using the query in the search history of the plurality of users.

Thereby, the determination device 100 according to the embodiment can appropriately determine the ranking of the search results based on the ratio of the categories using the query in the search history of the plurality of users.

Further, in the determination device 100 according to the embodiment, the determination unit 133 determines the ranking of the search results so that the plurality of types are simultaneously displayed on the screen of the terminal device 10.

As a result, the determination device 100 according to the embodiment determines the ranking of the search results so that the determination device 100 simultaneously displays a plurality of types on the screen of the terminal device 10, so that the terminal device 10 has a plurality of types. The search result can be provided to the user in a manner including the information of. That is, the terminal device 10 can provide the search result to the user in a manner in which various information can be visually recognized in a list. Therefore, the terminal device 10 can display the search result whose ranking is appropriately determined.

Further, in the determination device 100 according to the embodiment, the determination unit 133 determines the ranking of the search results so that when the search results are initially displayed on the screen of the terminal device 10, a plurality of types are displayed at the same time.

As a result, the terminal device 10 includes information on the plurality of types by determining the ranking of the search results so that the determination device 100 according to the embodiment simultaneously displays the plurality of types in the initial display of the search results. In the embodiment, the search result can be provided to the user. That is, the terminal device 10 can provide the search result to the user in a manner in which various information can be visually recognized in a list. Therefore, the terminal device 10 can display the search result whose ranking is appropriately determined.

Further, the determination device 100 according to the embodiment has an extraction unit 132. The extraction unit 132 extracts the search result corresponding to the query. The determination unit 133 determines the ranking of the search results extracted by the extraction unit 132.

As a result, the determination device 100 according to the embodiment can appropriately determine the ranking of the search results by a two-step process of extracting the search results corresponding to the query and determining the ranking of the extracted search results.

Further, in the determination device 100 according to the embodiment, when there are a plurality of types corresponding to the query, the determination unit 133 determines the search result so that the plurality of types corresponding to the query are included in a predetermined range regarding the display of the search result. The first determination process for determining the ranking is performed, and when there is one type corresponding to the query, the second determination process different from the first determination process is performed.

As a result, the determination device 100 according to the embodiment appropriately determines the ranking of the search results according to the number of types corresponding to the query by making the processing different according to the number of types corresponding to the query. Can be done.

Further, in the determination device 100 according to the embodiment, the acquisition unit 131 acquires a designation from the user who uses the terminal device 10 whether to perform the search process by the query in the first determination process or the second determination process. The determination unit 133 performs either the previous 1 determination process or the second determination process based on the designation acquired by the acquisition unit 131.

As a result, the determination device 100 according to the embodiment performs the processing based on the designation from the user as to whether the search processing by the query is performed by the first determination processing or the second determination processing, thereby satisfying the user's wishes. It is possible to appropriately determine the ranking of search results along the line.

[5. Hardware configuration]
The determination device 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. 7. FIG. 7 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD (Hard Disk Drive) 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 that depends 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 network N and sends it to the CPU 1100, and provides the data generated by the CPU 1100 to the other device via the network N.

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 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 determination 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. 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 network N.

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

[6. Others]
Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

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 distributed / physically in arbitrary units according to various loads and usage conditions. It can be integrated and configured.

In addition, the processes described in the above-described embodiments can be appropriately combined as long as the processing contents do not contradict each other.

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

1 Decision system 100 Decision device 121 Type information storage unit 122 Index information storage unit 123 Product information storage unit 130 Control unit 131 Acquisition unit 132 Extraction unit 133 Decision unit 134 Providing unit 10 Terminal equipment N network

Claims (9)

The acquisition unit that acquires the query in the search from the terminal device,
An extraction unit that extracts search results that include a plurality of results of each of a plurality of types corresponding to the query, which are search results corresponding to the query.
Among the search results extracted by the extraction unit, the search results corresponding to each of the plurality of types corresponding to the query are included in a predetermined range related to the display of the search results, and the search corresponding to each type is included. A determination unit that determines the ranking of the search results extracted by the extraction unit so that the results are not continuous, and a determination unit.
A determination device characterized by comprising. The decision unit
Among the search results provided to each of the plurality of users using the query, the ranking of the search results is determined based on the ratio of the type corresponding to the search results selected by each of the plurality of users. The determination device according to claim 1, wherein the determination device is characterized by the above. The decision unit
The determination device according to claim 1 or 2 , wherein the ranking of the search results is determined based on the ratio of categories that are the types of products corresponding to the query in the search history of a plurality of users. The decision unit
The determination device according to any one of claims 1 to 3 , wherein the ranking of search results is determined so that the plurality of types are simultaneously displayed on the screen of the terminal device. The decision unit
The determination device according to claim 4 , wherein when the search result is initially displayed on the screen of the terminal device, the ranking of the search result is determined so that the plurality of types are displayed at the same time. The decision unit
When there are a plurality of types corresponding to the query, the first determination process for determining the ranking of the search results is performed so that the plurality of types corresponding to the query are included in the predetermined range regarding the display of the search results, and the query is subjected to the first determination process. The determination device according to any one of claims 1 to 5 , wherein when there is one corresponding type, a second determination process different from the first determination process is performed. The acquisition unit
A user who uses the terminal device obtains a designation as to whether the search process by the query is performed by the first determination process or the second determination process.
The decision unit
The determination device according to claim 6 , wherein one of the first determination process and the second determination process is performed based on the designation acquired by the acquisition unit. It ’s a decision method that a computer makes.
The acquisition process to acquire the query in the search from the terminal device,
An extraction step of extracting search results corresponding to the query and including a plurality of results of each of a plurality of types corresponding to the query .
Among the search results extracted by the extraction step, the search results corresponding to each of the plurality of types corresponding to the query are included in a predetermined range related to the display of the search results, and the search corresponding to each type is included. A determination step of determining the ranking of the search results extracted by the extraction step so that the results are not continuous,
A determination method characterized by including. The acquisition procedure to acquire the query in the search from the terminal device, and
An extraction procedure for extracting search results corresponding to the query and including a plurality of results of each of a plurality of types corresponding to the query .
Among the search results extracted by the extraction procedure, the search results corresponding to each of the plurality of types corresponding to the query are included in a predetermined range related to the display of the search results, and the search corresponding to each type is included. A determination procedure for determining the ranking of the search results extracted by the extraction procedure so that the results are not continuous, and
A decision program characterized by having a computer execute.

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