JP6906667B1 - Information processing equipment, information processing methods and information processing programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the convenience of product search by appropriately changing the display order of items to a user for each attribute of a user or an item.
An information processing device includes a setting unit, a reception unit, a search unit, a determination unit, and a provision unit. The setting unit sets the score of the item for each attribute in advance from the initial score of the item and the sensitivity score for the item of the user for at least one of the attributes of the user and the item. The reception unit accepts input of search conditions related to the item from the user. The search unit searches for items according to the entered search conditions. The determination unit determines the display order of the items to the user based on the score of the item set for each attribute. The providing unit provides the user with search results (ranking) of items according to the display order of the items.
[Selection diagram] Fig. 1

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

An EC (Electronic Commerce) site discloses a technology for recommending items (products) that are more suitable for a user's taste.

Japanese Unexamined Patent Publication No. 2016-71881

However, in the above-mentioned conventional technique, an approximation function is derived for each user based on the score of the actual score table and the feature quantity vector of the corresponding item, and the derived approximation function is applied to predict all item information. I'm calculating the score. In information retrieval, it is necessary to instantly return the item sort result in response to the user's action in real time. Therefore, when performing complicated calculation-intensive processing such as machine learning for a huge number of FKUs (Face Keeping Units: product units (number of models x number of colors)) on the EC site, all users and all items On the other hand, the response will be slow and it will take time. In addition, collaborative filtering is difficult to realize due to the amount of calculation and infrastructure cost.

The present application has been made in view of the above, and an object of the present application is to improve the convenience of product search by appropriately changing the display order of items to the user for each attribute of the user or item.

The information processing apparatus according to the present application is a setting unit that sets an item score for a user for each attribute in advance from an initial score of the item and a sensitivity score for the user's item for at least one of the attributes of the user and the item. , A reception unit that accepts input of search conditions related to items from the user, a search unit that searches for items according to the search conditions, and an item display order for the user based on the item score set for each attribute. The setting unit includes a determination unit that determines the item, and a provision unit that provides the user with search results for items according to the display order of the determined items. Sensitivity to the user's item for each attribute based on the determination value of whether or not the item corresponds to, the degree of interest of the user's item for each attribute, and the parameter related to the degree of interest of the feature of the item. The feature is that the score is calculated and set.

According to one aspect of the embodiment, the convenience of product search can be improved by appropriately changing the display order of items to the user for each attribute of the user or item.

FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 3 is a diagram showing a configuration example of the information processing device according to the embodiment. FIG. 4 is a diagram showing an example of a user information database according to the embodiment. FIG. 5 is a diagram showing an example of a history information database according to an embodiment. FIG. 6 is a diagram showing an example of the item information database according to the embodiment. FIG. 7 is a diagram showing an example of a score information database according to the embodiment. FIG. 8 is a flowchart showing a processing procedure according to the embodiment. FIG. 9 is a diagram showing an example of a hardware configuration.

Hereinafter, the information processing apparatus, the information processing method, and the mode for implementing the information processing program according to the present application (hereinafter, referred to as “the embodiment”) will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited by this embodiment. Further, in the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

[1. Information processing method overview]
First, with reference to FIG. 1, an outline of an information processing method performed by the information processing apparatus according to the embodiment will be described. FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. In addition, in FIG. 1, a case where the ranking of an item (product) for a user is changed according to various attributes possessed by the user or the item will be described as an example.

As shown in FIG. 1, the information processing system 1 includes a terminal device 10 and an information providing device 100. The terminal device 10 and the information providing device 100 are connected to each other via a network N (see FIG. 2) so as to be able to communicate with each other by wire or wirelessly.

The terminal device 10 is a smart device such as a smartphone or tablet used by a user U (user), and communicates with an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a portable terminal device capable of performing. Further, the terminal device 10 is a screen of a liquid crystal display or the like and has a screen having a touch panel function, and various types of display data such as contents such as tap operation, slide operation, scroll operation, etc. are performed by the user with a finger, a stylus, or the like. Accepts the operation of. The operation performed on the area of the screen on which the content is displayed may be an operation on the content. Further, the terminal device 10 may be an information processing device such as a desktop PC (Personal Computer) or a notebook PC as well as a smart device.

The information providing device 100 is used to present various items possessed by the user U or the item to the user U in a ranking format on an EC (Electronic Commerce) site, a marketplace type EC mall, an auction site, a flea market application, or the like. It is an information processing device that changes the ranking of items for users according to its attributes, and is realized by a server device, a cloud system, or the like. For example, the information providing device 100 calculates the score of an item for each attribute of a user or an item (for each attribute of at least one of the user and the item) in advance. The user's attributes may be, for example, the user's age group (age group or generation is acceptable), gender, etc., and items that the user is interested in (or has a search history or purchase history). It may be a category, a brand, or the like. Further, the attribute of the item may be, for example, the age and gender of the user to whom the item is targeted (target), or the category or brand of the item. Then, when the user U inputs the search query, the item information corresponding to the search query is searched. Then, among the scores given to the item information obtained as a result of the search, the score corresponding to the attribute of the user U or the item is specified. Then, based on the specified score, the display order of the items for the user U is determined, and the search result (ranking) of the items according to the display order of the determined items is provided. For example, the information providing device 100 displays items in descending order of score.

Further, the information providing device 100 acquires various history information (log data) indicating the action history of the user U from the terminal device 10 of each user, an external server device, or the like. For example, the information providing device 100 acquires a position history, which is a history of the positions of the user U, from the terminal device 10. Further, the information providing device 100 acquires the search history, which is the history of the search query input by the user U, from the search server (search engine). Further, the information providing device 100 acquires a browsing history, which is a history of the contents browsed by the user U, from the content server. Further, the information providing device 100 acquires a purchase history, which is a purchase history by the user U, from an electronic commerce server or an electronic payment server. Further, the information providing device 100 acquires the posting history, which is the history of posting by the user U, from the posting server or the SNS (Social Networking Service) server that provides the word-of-mouth posting service. The information providing device 100 can acquire various kinds of information in addition to the above-mentioned information. For example, the information providing device 100 acquires information on the attributes of the user U such as the age, gender, family structure, and financial status of the user U.

Here, the information providing device 100 introduces a logic for improving the convenience of product search on the EC site by appropriately changing (personalizing) the display order of items to the user for each attribute of the user or item.

At the same time, the information providing device 100 aims to increase the GMV (Gross Merchandise Value). For example, the number of visiting UUs (Unique Users) will be increased (revisit rate and visit frequency will be increased by improving convenience). The number of visited UUs indicates the number of users who visited the EC site or the like within the aggregation period. In addition, the purchase CVR (Conversion Rate) will be increased (the purchase rate of users who should have left before buying by increasing the speed and probability of reaching what they want) will be improved. The purchase CVR indicates a conversion rate when "purchase" is a conversion. Furthermore, the unit price of customers will be increased (the number of products purchased by users will be increased by increasing the speed of reaching what they want).

As an outline of the logic, the information providing device 100 creates an item ranking for the user for each attribute of the user or the item, and sets a score according to the ranking. It also further increases the score of items that have the characteristics of items that the user frequently takes action on. For example, the information providing device 100 has features (shop / brand / category / sale / coupon / new arrival / season / fashion / price, etc.) that are often seen by other users of the same sex as the user and are often seen by the user. Increase the score of items with).

The information providing device 100 assigns a score to each item in advance, reflects the user's sensitivity to the item in the score of the item, and changes the display order of the items to the user based on the score. At this time, the score of the item is changed for each user segment (eg, by gender / age group).

[1-1. Outline of information processing method to change the ranking of items for users]
Here, with reference to FIG. 1, an outline of an information processing method for changing the ranking of items with respect to a user will be described. The attribute may be a user attribute or an item attribute. It may be both a user's attribute and an item's attribute, or it may be an attribute related to both the user and the item. That is, the item ranking for the user is changed according to the various attributes of the user and the item.

As shown in FIG. 1, the information providing device 100 sets an initial score (default score) of the item (step S1).

Then, the information providing device 100 determines the user's interest in each attribute with respect to the feature of the item (step S2).

Then, the information providing device 100 sets the degree of interest of the user for each attribute (step S3).

Then, the information providing device 100 sets the user's sensitivity score for each attribute (step S4).

Then, the information providing device 100 sets the score of the item for each attribute (step S5).

The processes of steps S1 to S5 described above are preset settings performed before the user U actually searches for an item.

Then, the user U inputs the search condition regarding the item desired to be searched to the information providing device 100 by using the terminal device 10 (step S6).

Then, the information providing device 100 searches for an item according to the search condition (step S7).

Then, the information providing device 100 determines the display order of the searched items based on the score of the items set in the above-mentioned preprocessing (step S8).

Then, the information providing device 100 provides the terminal device 10 of the user U with the search result (ranking) of the items according to the display order of the determined items (step S9).

[1-2. Example 1]
Next, the first embodiment of the above information processing method will be described. In the first embodiment, the attribute refers to the attribute of the user. That is, the item ranking for the user is changed according to the user's attribute.

For example, in step S1, the information providing device 100 creates a ranking (example: "number of product details viewed by gender / age group by member") from the user's behavior history (example: browsing history) for each item. Set the "initial score of the item" (default score) according to the ranking.

The above-mentioned "initial score of the item" is calculated from "the number of actions (eg, the number of views) for the item for each user segment based on the user information (information by gender and age of the member) acquired in advance". The above "initial score of the item" is set for each item. The "user" when calculating the initial score is intended for all users regardless of their attributes. However, in reality, the initial score may be obtained for each attribute of the user.

Subsequently, in step S2, the information providing device 100 determines whether or not the feature of the item corresponds to the user's interest for each attribute, and "the feature of the item corresponds to the user's interest for each attribute. "Judgment value of whether or not it is" is obtained.

The above "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" is that the user having the attribute is interested in the feature of the item for each attribute of the user. Indicates the judgment value of whether or not it is present. For example, if a certain percentage (half, 60% or more, etc.) or a certain number (100 or more, etc.) of users with the attribute are interested in the characteristics of the item, the attribute is assigned. It may correspond to the interest of the user who has it. Further, it may correspond to the interest of the user having the attribute depending on the number of visited UUs, purchased CVR, and the like.

The following pattern can be considered as an example of the determination method of the above-mentioned "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute". However, in reality, the present invention is not limited to these examples.

(1) Pattern Determined by List The information providing device 100 prepares in advance a list regarding the characteristics of items that the user having the attributes is interested in for each attribute of the user, and the characteristics of the items are included in the list. Determine if it is included. For example, if you want to increase the score of an item of your favorite brand, create a list of brand IDs of your favorite brand for each user attribute. The brand is, for example, a trademark. The brand may be the brand of the item itself, or the brand of the item manufacturer (manufacturer) or shop (dealer). The brand IDs of these brands are linked to each item. Then, it is determined whether or not the brand ID of the search target item of the user U is included in the list of favorite brand IDs of the attributes of the user U. At this time, if it is not included in the list of favorite brand IDs of the attributes of the user U, it is set to "0", and if it is included, it is set to "1".

(2) Pattern Determined by Flag The information providing device 100 determines whether or not a flag related to the feature of the item is set. At this time, for each attribute of the user, it may be determined whether or not a flag related to the feature of the item that the user having the attribute is interested in is set. For example, when it is desired to increase the score of a sale item, it is determined whether or not the sale flag of the search target item is set. At this time, if the sale flag of the search target item is not set, it is set to "0", and if it is set, it is set to "1".

(3) The pattern information providing device 100 for determining by the combination of the list and the flag may be implemented by combining the above (1) and (2). For example, after determining whether or not the brand ID of the search target item of the user U is included in the list of favorite brand IDs of the attributes of the user U, it is further determined whether or not the sale flag of the search target item is set. judge. At this time, if it is in the list of favorite brand IDs and the sale flag of the search target item is set, "2", if it is in the list of favorite brand IDs, or the sale of the search target item If any of the cases where the flag is set, it is set to "1", otherwise it is set to "0". Alternatively, it may be set to "1" only when it is in the list of favorite brand IDs and the sale flag of the search target item is set, and "0" in other cases.

Here, the above-mentioned "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" is "0" if it does not correspond, and "1" if it does. That is, it is determined whether or not the user is interested in the characteristics of the item for each attribute. However, in reality, the present invention is not limited to these examples. For example, the above "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" may be "1" if it does not correspond, and "natural number larger than 1" if it does. good. That is, the method of expressing whether or not the feature of the item corresponds to the user's interest for each attribute is arbitrary.

Subsequently, in step S3, the information providing device 100 sets the "degree of interest of the user for the characteristics of the item for each attribute" from the behavior of the member for a predetermined period (eg, the past two months).

The above-mentioned "degree of interest of the user for the characteristics of the item for each attribute" indicates, for example, the degree of interest in the sale item, the degree of interest in the favorite brand, and the like. In this case, the information providing device 100 sets the "degree of interest of the user for the feature of the item for each attribute" based on the behavior history of the user for each attribute with respect to the past sale item or the predetermined brand item content. Alternatively, for each attribute of the user, it may be set based on the ratio or the number of users who are interested in the item among the users having the attribute. Further, it may be set based on the number of visited UUs of users having that attribute, purchased CVR, and the like.

In this way, the above-mentioned "degree of interest of the user in the feature of the item for each attribute" is set for each attribute of the user. Therefore, substantially, the above-mentioned "degree of interest of the user for the feature of the item for each attribute" is set for each pair of the user's attribute and the item.

Subsequently, in step S4, the information providing device 100 determines "a determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" and "the user's interest for the feature of the item for each attribute". The "sensitivity score of the user for the item for each attribute" is set by using the "degree" and the "parameter related to the degree of interest of the feature of the item".

The above-mentioned "parameter related to the degree of interest of the feature of the item" is determined according to a predetermined numerical value in the degree of interest set in advance for each attribute of the user. Therefore, substantially, the above-mentioned "parameter related to the degree of interest of the feature of the item" is determined according to a predetermined numerical value in the degree of interest set for each pair of the user's attribute and the item.

The above-mentioned "sensitivity score of the user for each attribute to the item" is "a judgment value of whether or not the feature of the item corresponds to the user's interest for each attribute" and "the feature of the item of the user for each attribute". It is calculated for each attribute of the user as a value obtained by multiplying "the degree of interest in the item" and "the parameter related to the degree of interest in the feature of the item".

That is, it depends on "determination value of whether or not the feature of the item corresponds to the interest of the user for each attribute" x "degree of interest of the user for the feature of the item for each attribute" x "degree of interest of the feature of the item". Parameter ”=“ Sensitivity score of the user for that item for each attribute ”.

In this way, the above-mentioned "sensitivity score of the user for the item for each attribute" is set for each attribute of the user. Therefore, substantially, the above-mentioned "sensitivity score of the user for the item for each attribute" is set for each pair of the user's attribute and the item.

Subsequently, in step S5, the information providing device 100 sets the score of the item for each attribute of the user based on the "initial score of the item" and the "sensitivity score of the user for the item for each attribute".

The score of the above item is calculated for each attribute of the user as a value obtained by multiplying the "initial score of the item" and the "sensitivity score of the user for the item for each attribute". In other words, "initial score of the item" x "sensitivity score of the user for the item for each attribute" = "score of the item for each attribute of the user".

That is, "initial score of the item" x "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" x "degree of interest of the user for the feature of the item for each attribute" x " Parameter related to the degree of interest of the item feature "=" score of the item with the feature set for each user attribute ".

In this way, the score of the above item is set for each attribute of the user. Therefore, substantially, the score of the above item is set for each pair of the user's attribute and the item.

For example, the information providing device 100 quantifies the degree of interest in the characteristics (brand, sale, etc.) of the item for each attribute of the user, and raises the score of the item having the characteristics.

Item scores are updated at regular intervals (eg, once every few hours). Therefore, it is possible to respond quickly to changes in seasons and trends without being aware of it.

Then, in step S6, the user U inputs a search condition related to the item as a search query using the terminal device 10 on the EC site or the like.

Subsequently, in step S7, the information providing device 100 searches for the item according to the input search condition. The information providing device 100 may input search conditions into an external search server (search engine) and receive an item search result as a response.

Subsequently, in step S8, the information providing device 100 determines the display order of the searched items based on the score of the item set in the attribute of the user U. That is, the information providing device 100 determines the display order of the items based on the score of the item set in the set of the attribute possessed by the user U and the searched item.

Subsequently, in step S9, the information providing device 100 provides the terminal device 10 of the user U with a search result (ranking) of items according to the display order of the determined items.

That is, when calculating the score of an item, the information providing device 100 calculates the score of the item for each attribute (or combination of attributes) of each user from the degree of interest of the user for the characteristics of the item for each attribute. .. For example, a user group whose attribute is "worker" or a user group whose attribute is "male x 30s" is specified. Next, it is determined whether or not the interest of the specified user group corresponds to the feature of the item. It also sets the degree of interest of the user group. In addition, these are used to set the sensitivity score of the user group. Then, the score of the item corresponding to the attribute (or combination of attributes) of the user group is calculated.

Further, when the score is used, the information providing device 100 specifies an item corresponding to the search query input by the providing destination user who is the information providing destination. Next, among the scores associated with the items, the attribute (or combination of attributes) of the provider user and the corresponding score are specified. The display order is determined (listing) based on the specified score. Then, the item information is provided in the determined display order.

As described above, the information providing device 100 according to the present embodiment has the "initial score of the item" and the "user's item for each attribute" for the search conditions related to the item input by the user as a search query on the EC site or the like. Based on the "item score" calculated in advance from the "sensitivity score for", the item display order is determined in real time for each user attribute, and then the item search results (ranking) according to the item display order are provided. ..

[1-3. Example 2]
Next, the second embodiment of the above information processing method will be described. In the second embodiment, the attribute refers to the attribute of the item unless otherwise specified. That is, the item ranking to the user is changed according to the item attribute.

For example, in step S1, the information providing device 100 creates a ranking from the user's action history for each attribute of the item, and sets the "initial score of the item for each attribute" (default score) according to the ranking.

In this way, the above-mentioned "initial score of the item for each attribute" is set for each attribute of the item. The above-mentioned "initial score of the item for each attribute" may be set for each pair of the user and the attribute of the item, or may be set for each pair of the attribute of the user and the attribute of the item.

Subsequently, in step S2, the information providing device 100 determines whether or not the feature of the item corresponds to the interest of the user for each attribute, and "whether the feature of the item corresponds to the interest of the user for each attribute". "Judgment value of whether or not" is obtained.

The above "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" is whether or not the user is interested in the feature of the item having that attribute for each attribute of the item. Indicates the judgment value of. For example, a certain percentage (half, 60% or more, etc.) or a certain number (100 or more people, etc.) of the target users (or all unspecified number of users) with respect to the characteristics of the item having that attribute. ) If the user is interested, the user may be interested in the characteristics of the item having that attribute. Further, the target user may be interested in the characteristics of the item having the attribute depending on the number of visited UUs, purchased CVR, and the like.

The above-mentioned "degree of interest of the user for the characteristics of the item for each attribute" indicates, for example, the degree of interest of the user for the sale item or the degree of interest for the favorite brand for each attribute of the item. In this case, the information providing device 100 sets the "degree of interest in the characteristics of the user's item for each attribute" based on the user's behavior history for each attribute with respect to the past sale item or the predetermined brand item content. Alternatively, each attribute of the user or item may be set based on the ratio or number of users who are interested in the item among the users corresponding to the attribute. Further, the "degree of interest in the characteristics of the user's item for each attribute" may be set based on the number of UUs visited by the user for each attribute of the item, the purchased CVR, and the like.

In this way, the above-mentioned "degree of interest of the user for the characteristics of the item for each attribute" is set for each attribute of the item. The above-mentioned "degree of interest in the user's item characteristics for each attribute" may be set for each pair of the user and the item's attribute, or may be set for each pair of the user's attribute and the item's attribute. May be good.

Subsequently, in step S4, the information providing device 100 "determines whether or not the feature of the item corresponds to the user's interest for each attribute" and "the degree of interest for the user's item feature for each attribute". And "parameters that affect the degree of interest of the item's characteristics" are used to set the "sensitivity score for the user's item for each attribute".

The above-mentioned "parameter related to the degree of interest of the feature of the item" is determined according to a predetermined numerical value in the degree of interest set in advance for each attribute of the item. The above-mentioned "parameters related to the degree of interest of the item features" may be determined according to a predetermined numerical value in the degree of interest set for each pair of the user and the attribute of the item, or the attribute of the user and the item. It may be determined according to a predetermined numerical value in the degree of interest set for each set with the attribute of.

The above-mentioned "sensitivity score for the user's item for each attribute" is "a judgment value of whether or not the feature of the item corresponds to the user's interest for each attribute" and "the degree of interest for the user's item feature for each attribute". Is calculated for each attribute of the item as a value obtained by multiplying "" and "a parameter that affects the degree of interest of the item's characteristics".

That is, "determination value of whether or not the item feature corresponds to the user's interest for each attribute" x "degree of interest for the user's item feature for each attribute" x "parameter related to the degree of interest of the item feature" = "Sensitivity score for user's item for each attribute".

In this way, the above-mentioned "sensitivity score for the user's item for each attribute" is set for each attribute of the item. The above-mentioned "sensitivity score for the user's item for each attribute" may be set for each pair of the user and the item's attribute, or may be set for each pair of the user's attribute and the item's attribute. ..

Subsequently, in step S5, the information providing device 100 sets the score of the item for each attribute based on the "initial score of the item for each attribute" and the "sensitivity score for the user's item for each attribute".

The score of the above item is calculated for each attribute of the item as a value obtained by multiplying the "initial score of the item" and the "sensitivity score for the user's item for each attribute". In other words, "initial score of item for each attribute" x "sensitivity score for user's item for each attribute" = "score of item for each attribute".

That is, "initial score of the item" x "determination value of whether or not the feature of the item corresponds to the user's interest for each attribute" x "degree of interest for the user's item feature for each attribute" x "item feature" Parameter related to the degree of interest of the item "=" Score of the item having the characteristic set for each attribute of the item ".

In this way, the score of the above item is set for each attribute of the item. The score of the above item may be set for each pair of the user and the attribute of the item, or may be set for each pair of the attribute of the user and the attribute of the item.

Then, in step S6, the user U inputs a search condition related to the item as a search query using the terminal device 10 on the EC site or the like.

Subsequently, in step S7, the information providing device 100 searches for the item according to the input search condition. The information providing device 100 may input search conditions into an external search server (search engine) and receive an item search result as a response.

Subsequently, in step S8, the information providing device 100 determines the display order of the searched items based on the score of the item set for each attribute of the item. At this time, the information providing device 100 may determine the display order of the searched items based on the score of the item set in the set of the attribute possessed by the user U and the attribute possessed by the searched item.

Subsequently, in step S9, the information providing device 100 provides the terminal device 10 of the user U with a search result (ranking) of items according to the display order of the determined items.

That is, when calculating the score of an item, the information providing device 100 calculates the score of the item from the degree of interest of the user in the characteristics of the item for each attribute (or combination of attributes) of the item. For example, an item group having an attribute of "famous brand A" or an item group having "ladies' fashion x 30s" is specified. Next, it is determined whether or not the user's interest corresponds to the characteristics of the specified item group. In addition, the degree of interest of the user in the specified item group is set. In addition, these are used to set the user's sensitivity score for the specified item group. Then, the score of the item corresponding to the attribute (or combination of attributes) of the specified item group is calculated.

According to the information providing device 100 according to the present embodiment, it is possible to perform maintenance relatively easily as compared with a method using machine learning or the like, and real-time response processing can be easily performed. In addition, it is possible to flexibly change how to raise the score of an item depending on the conditions. At this time, the feature amount is changed for each search condition (example: search item). In addition, the effectiveness of each feature amount is changed for each user segment. It can also be improved from the SQL (Structured Query Language) server that creates the user profile and item profile. Furthermore, since it is easy for people to understand, it is possible to think of improvement plans from domain knowledge.

[2. Information processing system configuration example]
Next, the configuration of the information processing system 1 including the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 2, the information processing system 1 according to the embodiment includes a terminal device 10 and an information providing device 100. These various devices are connected via network N so as to be communicable by wire or wirelessly. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Further, the number of each device included in the information processing system 1 shown in FIG. 2 is not limited to that shown in the figure. For example, in FIG. 2, for simplification of the illustration, only one terminal device 10 is shown, but this is merely an example and is not limited, and may be two or more.

The terminal device 10 is an information processing device used by the user U. For example, the terminal device 10 is a smart device such as a smartphone or tablet terminal, a feature phone, a PC (Personal Computer), a PDA (Personal Digital Assistant), a car navigation system, a wearable device such as a smart watch or a head-mounted display (Wearable Device). , Smart glasses, etc.

Further, the terminal device 10 includes a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation: 5th generation mobile communication system), Bluetooth (registered trademark), and wireless LAN (Local). It can be connected to the network N via short-range wireless communication such as Area Network) and communicate with the information providing device 100.

The information providing device 100 is, for example, a PC, a server device, a mainframe, a workstation, or the like. The information providing device 100 may be realized by cloud computing.

[3. Information processing device configuration example]
Next, the configuration of the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information providing device 100 according to the embodiment. As shown in FIG. 3, the information providing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Further, the communication unit 110 is connected to the network N (see FIG. 2) by wire or wirelessly.

(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. 3, the storage unit 120 includes a user information database 121, a history information database 122, an item information database 123, and a score information database 124.

(User information database 121)
The user information database 121 stores various information about the user U. For example, the user information database 121 stores various information such as the attributes of the user U. FIG. 4 is a diagram showing an example of the user information database 121 according to the embodiment. In the example shown in FIG. 4, the user information database 121 has items such as "user ID (Identifier)", "age", "gender", "home", "work location", and "interest".

The "user ID" indicates identification information for identifying the user U. For example, the "user ID" is the name of the user U, an identification number (login ID, etc.), a telephone number, an e-mail address, or the like. Further, the "user ID" may be identification information (terminal ID) for identifying the terminal device 10 of the user U.

Further, "age" indicates the age of the user U identified by the user ID. The "age" may be the specific age of the user U identified by the user ID, such as 35 years old. Further, "gender" indicates the gender of the user U identified by the user ID.

Further, "home" indicates the location information of the home of the user U identified by the user ID. In the example shown in FIG. 4, "home" is illustrated with an abstract code such as "LC11", but may be latitude / longitude information or the like. Further, for example, "home" may be an area name or an address.

Further, the "work location" indicates the location information of the work location (school in the case of a student) of the user U identified by the user ID. In the example shown in FIG. 4, the “work location” is illustrated by an abstract code such as “LC12”, but may be latitude / longitude information or the like. Further, for example, the "work location" may be a region name or an address.

Further, "interest" indicates the interest of the user U identified by the user ID. That is, "interest" indicates an object in which the user U identified by the user ID is highly interested. For example, "interest" may be a search query (keyword) or the like that the user U inputs into a search engine and searches. In the example shown in FIG. 4, one "interest" is shown for each user U, but there may be a plurality of "interests".

For example, in the example shown in FIG. 4, the age of the user U identified by the user ID "U1" is "20's", and the gender is "male". Further, for example, the user U identified by the user ID "U1" indicates that his / her home is "LC11". Further, for example, the user U identified by the user ID "U1" indicates that the work location is "LC12". Further, for example, the user U identified by the user ID "U1" indicates that he / she is interested in "sports".

Here, in the example shown in FIG. 4, abstract values such as “U1”, “LC11”, and “LC12” are used for illustration, but “U1”, “LC11”, and “LC12” are specific. Information such as character strings and numerical values shall be stored. Hereinafter, abstract values may be illustrated also in figures relating to other information.

The user information database 121 is not limited to the above, and various information may be stored depending on the purpose. For example, the user information database 121 may store various information about the terminal device 10 of the user U. In addition, the user information database 121 relates to attributes such as demographic (demographic attribute), psychographic (psychological attribute), geographic (geographical attribute), and behavioral (behavioral attribute) of user U. Information may be stored. For example, the user information database 121 includes name, family structure, place of origin (local), occupation, position, income, qualification, living style (detached house, apartment, etc.), presence / absence of a car, commuting time, commuting time, commuting route. , Memorize information such as commuter pass sections (stations, routes, etc.), frequently used stations (other than the nearest station to your home / work location), lessons (location, time zone, etc.), hobbies, interests, lifestyle, etc. May be good.

(History information database 122)
The history information database 122 stores various history information (log data) indicating the action history of the user U. FIG. 5 is a diagram showing an example of the history information database 122 according to the embodiment. In the example shown in FIG. 5, the history information database 122 has items such as "user ID", "location history", "search history", "browsing history", "purchasing history", and "posting history".

The "user ID" indicates identification information for identifying the user U. Further, the "position history" indicates the history of the position of the user U. Further, the "search history" indicates the history of the search query input by the user U. Further, the "browsing history" indicates the history of the content browsed by the user U. Further, the "purchase history" indicates the purchase history by the user U. Further, the "posting history" indicates the history of postings by the user U.

The history information database 122 is not limited to the above, and various information may be stored depending on the purpose. For example, the history information database 122 may store information indicating stores located around the user U (stores for which the user U can be a target person).

(Item information database 123)
The item information database 123 stores various information about the item. FIG. 6 is a diagram showing an example of the item information database 123 according to the embodiment. In the example shown in FIG. 6, the item information database 123 has items such as "item ID", "search condition", and "feature".

The "item ID" indicates identification information for identifying the item. For example, the "item ID" is an item name, a product code (model number), a JAN code (Japanese Article Number), an EAN code (European Article Number), a UPC (Universal Product Code), or the like. Further, the "item ID" may be a barcode, a two-dimensional code, or the like.

Further, the "search condition" indicates a search condition related to the item input as a search query when searching for the item. In addition, "feature" indicates the feature of the item. For example, "feature" indicates information about a feature (shop / brand / category / sale / coupon / new arrival / season / fashion / price, etc.) that the user may be interested in.

For example, in the example shown in FIG. 4, the item identified by the item ID "item # 1" is searched when "search condition # 1" is input as the search condition, and has "feature # 1" as the feature. Indicates that

The item information database 123 is not limited to the above, and various information may be stored depending on the purpose. For example, the item information database 123 may store information regarding the inventory status of items, the scheduled delivery date, and the like. In addition, the item information database 123 may store information on special notes and precautions (age limit, sales quantity limit, sale period, etc.) regarding the item. Further, the item information database 123 may be a part of the "search history", "browsing history", "purchasing history", etc. of the history information database 122. In addition, the item information database 123 may store information regarding the attributes of the item.

(Score information database 124)
The score information database 124 stores various information regarding the score of the item. FIG. 7 is a diagram showing an example of the score information database 124 according to the embodiment. In the example shown in FIG. 7, the score information database 124 includes "attribute", "item ID", "initial score", "judgment value", "interest level", "parameter", "sensitivity score", and "score". Has an item.

The "attribute" indicates various attributes possessed by the user U and the item. The user's attributes may be, for example, the user's age group (age group or generation is acceptable), gender, place of residence, occupation, income, hobbies, etc., and the user is interested or interested (or searched). It may be an item category, brand, etc. (which has a history or purchase history). Further, the attribute of the item may be, for example, the age, gender, place of residence, occupation, income, hobby, etc. of the user to whom the item is targeted (target), or the category, brand, etc. of the item. May be good.

Further, the "item ID" indicates identification information for identifying the item. The "initial score" indicates the initial score (default score) of the item.

Further, the "judgment value" indicates a judgment value of whether or not the feature of the item corresponds to the user's interest for each attribute. Further, the "degree of interest" indicates the degree of interest in the characteristics of the item of the user for each attribute. Further, the "parameter" indicates a parameter that depends on the degree of interest of the item feature.

Further, the "sensitivity score" indicates the sensitivity score for the user's item for each attribute. The "sensitivity score" is calculated as a value obtained by multiplying the "judgment value", the "degree of interest", and the "parameter".

The "score" indicates the score of the item. The "score" is calculated as a value obtained by multiplying the "initial score" and the "sensitivity score". That is, the "score" is calculated as a value obtained by multiplying the "initial score", the "judgment value", the "degree of interest", and the "parameter".

For example, in the example shown in FIG. 7, regarding the attribute "attribute # 1" of the user or item, the item identified by the item ID "item # 11" that hits the search condition input by the user U has an initial score of "" Indicates that "Initial score # 11" is set. Further, it is shown that the determination value of whether or not the feature of the item corresponds to the user's interest for each attribute is "determination value # 11". Further, it is shown that the degree of interest of the user's item for each attribute is "degree of interest # 11". Further, it is shown that the parameter related to the degree of interest of the item feature is "parameter # 11". Further, it is shown that the sensitivity score for the user's item for each attribute is "sensitivity score # 11". Then, the score of the item indicates that it is "score # 11".

The score information database 124 is not limited to the above, and various information may be stored depending on the purpose. For example, the score information database 124 may store the date and time when the score was calculated or stored. Further, the score information database 124 may separately store the score before the update each time the score is updated. That is, the score information database 124 may accumulate past scores as a history.

Further, the score information database 124 may store / display each item sorted (sorted) in ascending / descending order of the score value.

(Control unit 130)
Returning to FIG. 3, the explanation will be continued. The control unit 130 is a controller, and is an information providing device 100 by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. It is realized by executing various programs (corresponding to an example of an information processing program) stored in the internal storage device of the ASIC with a storage area such as a RAM as a work area. In the example shown in FIG. 3, the control unit 130 includes an acquisition unit 131, a setting unit 132, a determination unit 133, a reception unit 134, a search unit 135, a determination unit 136, and a provision unit 137.

(Acquisition unit 131)
The acquisition unit 131 acquires information (attribute information, etc.) about the user U from the terminal device 10 of the user U via the communication unit 110. At this time, the acquisition unit 131 stores the received information about the user U in the user information database 121 of the storage unit 120.

Further, the acquisition unit 131 acquires various history information (log data) from the terminal device 10 of each user, an external server device, or the like via the communication unit 110. At this time, the acquisition unit 131 stores various acquired history information in the history information database 122 of the storage unit 120.

(Setting unit 132)
The setting unit 132 receives the input related to the item from the initial score of the item (default score) and the sensitivity score of the user or the attribute of the item (for each attribute of at least one of the user and the item) to the user. And set the item score for each item attribute.

First, the setting unit 132 calculates the initial score of the item from the number of actions (eg, the number of views) for the item for each user segment based on the user information (information by gender and age of the member) acquired in advance. The setting unit 132 sets the initial score of the item for each item. However, in reality, the initial score of the item may be set for each attribute of the user or the item. For example, the initial score of an item may be set for each attribute of the item, for each pair of user attributes and items, or for each pair of user and item attributes. Alternatively, it may be set for each pair of user attributes and item attributes. At this time, the setting unit 132 stores the initial score of the item in the score information database 124 of the storage unit 120.

Next, the setting unit 132 sets the "degree of interest in the characteristics of the user's item for each attribute" from the behavior of the member for a predetermined period (eg, the past two months). At this time, the setting unit 132 stores the degree of interest of the user's item for each attribute in the score information database 124 of the storage unit 120.

Next, the setting unit 132 sets a parameter related to the degree of interest of the feature of the item according to a predetermined numerical value in the degree of interest set in advance for each attribute of the user or the item.

Next, the setting unit 132 determines the determination value of whether or not the item feature corresponds to the user's interest for each attribute, the degree of interest for the user's item feature for each attribute, and the degree of interest for the item feature. The sensitivity score for the user's item for each attribute is calculated as a value obtained by multiplying the multiplied parameter. That is, "determination value of whether or not the item feature corresponds to the user's interest for each attribute" x "degree of interest for the user's item feature for each attribute" x "parameter related to the degree of interest of the item feature" = "Sensitivity score for user's item for each attribute". The setting unit 132 sets the sensitivity score for the user's item for each attribute for each attribute of the user or item. At this time, the setting unit 132 stores the sensitivity score for the user's item for each attribute in the score information database 124 of the storage unit 120.

Finally, the setting unit 132 calculates a value obtained by multiplying the initial score of the item and the sensitivity score of the user for each attribute for the item as the score of the item for each attribute. That is, "initial score of item" x "sensitivity score for user's item for each attribute" = "item score".

In other words, "initial score of the item" x "determination value of whether the feature of the item corresponds to the user's interest for each attribute" x "degree of interest for the user's item feature for each attribute" x "of the item" Parameter related to the degree of interest of the feature "=" Score of the item with the feature set for each attribute of the user or item ".

The setting unit 132 sets the score of the item for each user or item attribute. At this time, the setting unit 132 may set the score of the item for each pair of the user attribute and the item, may set it for each pair of the user and the item attribute, or may set the user attribute. May be set for each pair of item attributes. At this time, the setting unit 132 stores the score of the item in the score information database 124 of the storage unit 120.

(Judgment unit 133)
The determination unit 133 determines whether or not the feature of the item corresponds to the user's interest for each attribute. Then, the determination unit 133 obtains a determination value as to whether or not the feature of the item corresponds to the user's interest for each attribute. For example, the determination unit 133 creates a list of the features of the item that the user is interested in in advance for each attribute, and determines whether or not the features of the item are included in the list. Alternatively, the determination unit 133 determines whether or not a flag related to the feature of the item is set. Here, the determination value of whether or not the feature of the item corresponds to the user's interest for each attribute is "0" if it does not correspond, and "1" if it does. At this time, the determination unit 133 stores the determination value in the score information database 124 of the storage unit 120. The determination unit 133 may be the setting unit 132 described above.

(Reception Department 134)
The reception unit 134 receives input of a search condition related to an item as a search query from the terminal device 10 of the user U via the communication unit 110.

(Search unit 135)
The search unit 135 searches for the corresponding item from the list of items indexed in the database as the search target by the search engine according to the input search condition. At this time, the search unit 135 stores the item ID of the corresponding item, the search conditions used for the search, and the characteristics of the item in the item information database 123 of the storage unit 120. The search unit 135 may be an external search server (search engine) or the like. Further, the search unit 135 may input the search condition to the external search server (search engine) and receive the search result of the item as a response.

(Decision unit 136)
The determination unit 136 determines the display order of the items for the user U based on the score of the item set for each of the user U and the attribute of the item. That is, the determination unit 136 determines the display order of the items based on the score of the item set in the set of the attribute possessed by the user U and the searched item (or the attribute of the item). At this time, the determination unit 136 changes the display order of the items for the user U when it is necessary to change the display order of the items for the user U based on the score of the item set for each attribute. For example, the determination unit 136 sorts (sorts) the item search results (ranking) in ascending / descending order of the item score values. That is, the determination unit 136 is also a change unit that changes the display order of items to the user U.

(Providing Department 137)
The providing unit 137 provides the terminal device 10 of the user U who has input the search conditions with the search result (ranking) of the items according to the display order of the determined items via the communication unit 110. That is, the providing unit 137 is also a distribution unit that distributes the search result (ranking) of the item in response to the search request from the terminal device 10 of the user U.

[4. Processing procedure]
Next, the processing procedure by the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing a processing procedure according to the embodiment. The processing procedure shown below is repeatedly executed by the control unit 130 of the information providing device 100.

As shown in FIG. 8, the setting unit 132 of the information providing device 100 is based on the number of actions (eg, the number of views) for each item for each user segment based on the user information (information by gender and age of the member) acquired in advance. The initial score of the item is calculated and set for each item (or for each attribute of the item) (step S101).

Subsequently, the determination unit 133 of the information providing device 100 determines whether or not the feature of the item corresponds to the interest of the user for each attribute, and whether or not the feature of the item corresponds to the interest of the user for each attribute. The determination value is obtained (step S102).

Subsequently, the setting unit 132 of the information providing device 100 sets the degree of interest in the user's item characteristics for each attribute from the behavior of the member for a predetermined period (example: the past two months) (step S103).

Subsequently, the setting unit 132 sets a parameter related to the degree of interest of the feature of the item according to a predetermined numerical value in the degree of interest set in advance for each attribute of the user or the item (step S104).

Subsequently, the setting unit 132 determines the determination value of whether or not the item feature corresponds to the user's interest for each attribute, the degree of interest for the user's item feature for each attribute, and the degree of interest for the item feature. The sensitivity score for the user's item for each attribute is calculated as a value obtained by multiplying the multiplied parameter, and is set for each attribute of the user or item (step S105).

That is, "determination value of whether or not the item feature corresponds to the user's interest for each attribute" x "degree of interest for the user's item feature for each attribute" x "parameter related to the degree of interest of the item feature" = "Sensitivity score for user's item for each attribute".

Subsequently, the setting unit 132 calculates the score of the item based on the initial score of the item and the sensitivity score of the user for the item for each attribute, and sets the score for each of the attributes of the user and the item (step S106).

That is, "initial score of item" x "sensitivity score for user's item for each attribute" = "item score". In other words, "initial score of the item" x "determination value of whether the feature of the item corresponds to the user's interest for each attribute" x "degree of interest for the user's item feature for each attribute" x "of the item" "Parameters related to the degree of interest of a feature" = "Score of an item with that feature set for each attribute".

Subsequently, the reception unit 134 of the information providing device 100 receives an input related to the item as a search condition (search query) from the terminal device 10 of the user U via the communication unit 110 (step S107).
Subsequently, the search unit 135 of the information providing device 100 searches for the corresponding item from the list of items indexed by the search engine in the database as the search target according to the input search condition (step). S108).

Subsequently, the determination unit 136 of the information providing device 100 determines the display order of the items for the user U based on the score of the items set for each attribute (step S109).

That is, the determination unit 136 determines the display order of the items based on the score of the item set in the set of the attribute possessed by the user U and the searched item (or the attribute of the item). At this time, the determination unit 136 changes the display order of the items for the user U when it is necessary to change the display order of the items for the user U based on the score of the item set for each attribute. For example, the determination unit 136 sorts (sorts) the item search results (ranking) in ascending / descending order of the item score values.

Subsequently, the providing unit 137 of the information providing device 100 transmits the item search result (ranking) according to the display order of the determined items to the terminal device 10 of the user U who has input the search condition via the communication unit 110. Provide (step S110).

[5. Modification example]
The terminal device 10 and the information providing device 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, a modified example of the embodiment will be described below.

In the above embodiment, the information providing device 100 has a determination value of "0" as to whether or not the feature of the item corresponds to the interest of the user for each attribute, and the sensitivity score of the user for each attribute and the score of the item are either. If also becomes "0", the item may not be included in the search result (ranking). That is, the information providing device 100 may not provide and display the item to the terminal device 10 when the feature of the item does not correspond to the user's interest for each attribute.

Further, in the above embodiment, when one item has a plurality of features and the user for each attribute is interested in two or more features of the item, the information providing device 100 first has each feature of the item. The score of the item may be calculated, and the total value (total value) of the scores for each feature may be finally set as the score of the item.

Further, in the above embodiment, when determining whether or not the characteristics of an item correspond to the interests of the user for each attribute, if one item has a plurality of characteristics, the users for each attribute are all. It is not necessary to be interested in the feature, and if it is interested in at least one feature, it may correspond to the user's interest for each attribute.

Further, in the above embodiment, when one item has a plurality of features for a certain attribute and the user is interested in two or more features among the plurality of features, the item has a plurality of features. Among the features, the feature that the user is most interested in (the feature with the highest degree of interest) may be the feature of the item in the attribute.

Further, in the above embodiment, a user group may be set for each user attribute. This user group is a group of users (user group) in which all the members (constituent members) to which they belong have common attributes. The attributes common to the users belonging to the group may be singular or plural. When one user has a plurality of attributes, at least one of them may belong to a common user group, or all the attributes may belong to a common user group. That is, one user having a plurality of attributes may belong to a plurality of user groups according to the type and combination of the attributes. Here, if one user belongs to a plurality of user groups and the scores of the items are duplicated, the total value or the maximum value of the score values may be used as the score of the items, or the score. You may use the average or median of the values of.

Further, in the above embodiment, an item group may be set for each item attribute. This item group is a group of items (item group) in which all items belonging to the group have common attributes. The attributes common to the items belonging to the group may be singular or plural. When one item has a plurality of attributes, at least one of them may belong to a common item group, or all the attributes may belong to a common item group. That is, one item having a plurality of attributes may belong to a plurality of item groups according to the type and combination of the attributes. Here, if one item belongs to a plurality of item groups and the scores of the items are duplicated, the total value or the maximum value of the score values may be used as the score of the items, or the score of the score. You may use the average or median of the values.

[6. effect〕
As described above, the information providing device 100 according to the present application includes a setting unit 132, a reception unit 134, a search unit 135, a determination unit 136, and a providing unit 137. The setting unit 132 sets the score of the item for each attribute in advance from the initial score of the item and the sensitivity score for the item of the user for at least one of the attributes of the user and the item. The reception unit 134 receives input of search conditions related to the item from the user. The search unit 135 searches for items according to the input search conditions. The determination unit 136 determines the display order of the items to the user based on the score of the item set in the attribute of the user U. The providing unit 137 provides the user with a search result (ranking) of items according to the display order of the determined items.

In this way, the convenience of product search can be improved by appropriately changing the display order of items to the user for each attribute of the user or item.

[7. Hardware configuration]
Further, the terminal device 10 and the information providing device 100 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. Hereinafter, the information providing device 100 will be described as an example. FIG. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic unit 1030, the primary storage device 1040, the secondary storage device 1050, the output I / F (Interface) 1060, the input I / F 1070, and the network I / F 1080 are bused. It has a form connected by 1090.

The arithmetic unit 1030 operates based on a program stored in the primary storage device 1040 or the secondary storage device 1050, a program read from the input device 1020, or the like, and executes various processes. The arithmetic unit 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used by the arithmetic unit 1030 for various calculations. Further, the secondary storage device 1050 is a storage device in which data used by the arithmetic unit 1030 for various calculations and various databases are registered, and is a ROM (Read Only Memory), an HDD (Hard Disk Drive), and an SSD (Solid). State Drive), flash memory, etc. The secondary storage device 1050 may be internal storage or external storage. Further, the secondary storage device 1050 may be a removable storage medium such as a USB memory or an SD (Secure Digital) memory card. Further, the secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a display, a projector, and a printer. For example, USB (Universal Serial Bus) or DVI. (Digital Visual Interface), HDMI (registered trademark) (High Definition Multimedia Interface), etc. are realized by standard connectors. The input I / F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, buttons, and a scanner, and is realized by, for example, USB.

Further, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

Further, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated as input / output I / F.

The input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like.

The network I / F 1080 receives data from another device via the network N and sends it to the arithmetic unit 1030, and also transmits the data generated by the arithmetic unit 1030 to the other device via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040, and executes the loaded program.

For example, when the computer 1000 functions as the information providing device 100, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the primary storage device 1040. Further, the arithmetic unit 1030 of the computer 1000 may load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. Further, the arithmetic unit 1030 of the computer 1000 may cooperate with other devices via the network I / F 1080 to call the functions and data of the program from other programs of the other devices and use them.

[8. others〕
Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. Further, the above-mentioned components include those that can be easily assumed by those skilled in the art, those that are substantially the same, that is, those having a so-called equal range. Furthermore, the components described above can be combined as appropriate. Further, various omissions, replacements or changes of the components can be made without departing from the gist of the above-described embodiment.

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

For example, the above-mentioned information providing device 100 may be realized by a plurality of server computers, or may be realized by calling an external platform or the like by API (Application Programming Interface), network computing, or the like depending on the function. Can be changed flexibly.

Further, the above-described embodiments and modifications 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 Information processing system 10 Terminal device 100 Information providing device 110 Communication unit 120 Storage unit 121 User information database 122 History information database 123 Item information database 124 Score information database 130 Control unit 131 Acquisition unit 132 Setting unit 133 Judgment unit 134 Reception unit 135 Search Department 136 Decision Department 137 Provision Department

Claims (13)

A setting unit that sets an item score for each attribute from the initial score of the item and the sensitivity score for the user's item for at least one of the attributes of the user and the item.
A reception section that accepts input of search conditions related to items from users,
A search unit that searches for items according to the search conditions,
A determination unit that determines the display order of items for the user based on the score of the item set for each attribute.
A providing unit that provides the user with search results for the item according to the determined display order of the item.
Equipped with a,
The setting unit determines whether or not the feature of the item corresponds to the interest of the user for each attribute, the degree of interest of the user for the feature of the item for each attribute, and the degree of interest of the feature of the item. An information processing device characterized in that a sensitivity score for a user's item for each attribute is calculated and set based on a parameter applied to the item. The initial score of the item is set for each item.
The information processing apparatus according to claim 1. The score of the item is set for each pair of user attributes and items.
The information processing apparatus according to claim 1 or 2. The setting unit creates a ranking from the user's action history for each item, and sets the initial score of the item according to the ranking.
The information processing apparatus according to any one of claims 1 to 3. The setting unit calculates and sets the initial score of the item from the number of actions for the item for each user segment based on the user information acquired in advance.
The information processing apparatus according to any one of claims 1 to 4. The initial score of the item is set for each attribute of the item.
The information processing apparatus according to claim 1. The score of the item is set for each pair of the user attribute and the item attribute.
The information processing apparatus according to claim 6. A determination unit that determines whether or not the characteristics of the item correspond to the interests of the user for each attribute, and obtains a determination value for determining whether or not the characteristics of the item correspond to the interests of the user for each attribute. ,
The information processing apparatus according to any one of claims 1 to 7, further comprising. The determination unit creates a list of the features of the item that the user is interested in in advance for each of the attributes, and determines whether or not the features of the item are included in the list.
The information processing apparatus according to claim 8. The determination unit determines whether or not a flag related to the feature of the item is set.
The information processing apparatus according to claim 8 or 9. The item features include information about at least one of shop, brand, category, sale, coupon, new arrival, season, fad, and price.
The information processing apparatus according to any one of claims 1 to 10, characterized in that. It is an information processing method executed by an information processing device.
A setting process for setting an item score for each attribute from the initial score of the item and the sensitivity score for the user's item for at least one of the attributes of the user and the item.
The reception process that accepts input of search conditions related to items from the user,
A search process for searching for items according to the search conditions, and
A determination process for determining the display order of items for the user based on the item score set for each attribute, and a determination process.
A providing process for providing the user with search results for the item according to the determined display order of the items, and
Only including,
In the setting step, a determination value of whether or not the feature of the item corresponds to the interest of the user for each attribute, the degree of interest of the user for the feature of the item for each attribute, and the degree of interest of the feature of the item. An information processing method characterized in that a sensitivity score for a user's item for each attribute is calculated and set based on a parameter applied to the item. A setting procedure for setting an item score for each attribute from the initial score of the item and the sensitivity score for the user's item for at least one of the attributes of the user and the item.
The reception procedure that accepts input of search conditions related to items from the user,
A search procedure for searching for items according to the above search conditions, and
A determination procedure for determining the display order of items for the user based on the item score set for each attribute, and a determination procedure.
A provision procedure for providing the user with search results for the item according to the determined display order of the items, and
Is an information processing program that allows a computer to execute
In the setting procedure, a determination value of whether or not the feature of the item corresponds to the interest of the user for each attribute, the degree of interest of the user for the feature of the item for each attribute, and the degree of interest of the feature of the item. An information processing program characterized in that a sensitivity score for a user's item for each attribute is calculated and set based on a parameter applied to the item.

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