JP7078561B2 - Association device, association method and association program - Google Patents

Description

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

Conventionally, techniques for classifying transaction targets in the electronic market such as EC (Electronic Commerce) sites and EC applications have been proposed. For example, a technique for presenting an input screen for inputting a hash tag given to a transaction target in an electronic market has been proposed (Patent Document 1). In this technique, the user of the electronic market can attach an arbitrary hash tag to the transaction target in the electronic market via the presented input screen.

Japanese Unexamined Patent Publication No. 2018-136839

However, with the above-mentioned conventional technique, it is not always possible to give appropriate information to the transaction target. For example, in the above-mentioned prior art, the hashtag given to the transaction target by the user of the electronic market is not always appropriate information for this transaction target.

The present application has been made in view of the above, and an object of the present application is to provide an association device, an association method, and an association program capable of giving appropriate information to a transaction target.

The association device according to the present application includes an acquisition unit that acquires first behavior information indicating the first behavior of a user on the network and second behavior information indicating the second behavior of the user on the network. Co-occurrence between the user's first action indicated by the first action information acquired by the acquisition unit and the user's second action indicated by the second action information acquired by the acquisition unit. Based on the above, it is characterized by including an association unit that associates the information corresponding to the first action of the user with the information corresponding to the transaction target related to the second action of the user.

According to one aspect of the embodiment, there is an effect that appropriate information can be given to the transaction target.

FIG. 1 is a diagram showing a configuration example of a network system according to an embodiment. FIG. 2 is a diagram showing an example of an association process according to an embodiment. FIG. 3 is a diagram showing a configuration example of the association device according to the embodiment. FIG. 4 is a diagram showing an example of the behavior information storage unit according to the embodiment. FIG. 5 is a diagram showing an example of a purchase history information storage unit according to an embodiment. FIG. 6 is a flowchart showing a procedure for associating processing by the associating device according to the embodiment. FIG. 7 is a diagram showing an example of a hardware configuration.

Hereinafter, the associating device, the associating method, and the embodiment for carrying out the associating 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 associating device, associating method and associating program according to the present application. In addition, each embodiment can be appropriately combined as long as the processing contents do not contradict each other. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description will be omitted.

[1. Network system configuration]
First, the configuration of the network system 1 according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing a configuration example of the network system 1 according to the embodiment. As shown in FIG. 1, the network system 1 according to the embodiment includes user devices 10 ₁ to 10 _n and an association device 100 (n is an arbitrary natural number). In the present specification, when it is not necessary to distinguish between the user devices 10 ₁ to 10 _n , the user devices 10 ₁ to 10 _n are collectively referred to as "user device 10". The user device 10 and the association device 100 are connected to the network N by wire or wirelessly, respectively. Although not shown in FIG. 1, the network system 1 may include a plurality of association devices 100.

The user device 10 is an information processing device used by the user. The user device 10 may be any type of information processing device including a desktop PC (Personal Computer), a notebook PC, a smartphone, and a tablet PC.

The association device 100 is an information processing device that provides various information to the user device 10. For example, the association device 100 is a server device that provides various information to the user device 10. The association device 100 provides, for example, the user device 10 with content about the electronic market.

In one example, the association device 100 provides the user device 10 with content related to the electronic market (for example, an EC site) via a browser. In another example, the association device 100 provides the user device 10 with content about the electronic market via an application (eg, an EC application). The association device 100 communicates with the user device 10 by wire or wirelessly via the network N.

[2. Association processing]
Next, an example of the association processing according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing an example of an association process according to an embodiment.

In the example of FIG. 2, the associating device 100 of FIG. 1 provides an electronic market in which the user of the user device 10 of FIG. 1 can purchase or sell a transaction object (eg, a commodity or service). For example, the association device 100 provides the user device 10 with a service (not shown) related to an electronic shopping street such as an online shopping service. For example, the association device 100 provides shopping content to the user device 10.

In the example of FIG. 2, the user apparatus 101 of FIG. ₁ is utilized by the user U1. User U1 is a customer in the electronic market provided by the association device 100. User U1 searches for and purchases goods in the electronic market.

In the example of FIG. 2, the tag is associated with a commodity in the electronic market. This tag is used to search for products associated with the tag. For example, when the tag "uchiwa" is associated with a certain product, the association device 100 presents a search result including this product in response to the search query "uchiwa". In one example, the tag does not have to appear in the content about the electronic market. That is, the tag may be a metadata tag attached to the product. In another example, the tag may appear in content about the electronic market.

By the way, in the example of FIG. 2, a seller (not shown) of a store having an electronic market sells a product "Yukata Y1" in the electronic market. In the example of FIG. 2, the seller of this store imagined the keywords "uchiwa", "summer", "festival" and "date" as the keywords corresponding to the product "yukata Y1". Therefore, this seller added the keywords "uchiwa", "summer", "festival" and "date" to the product "yukata Y1" as tags. However, in addition to these four tags, there may be tags corresponding to the potential desires (wants) of the customer of the product "Yukata Y1".

Therefore, as an example, the association device 100 executes the association process described below in order to attach a tag corresponding to the potential desire of the customer of the product to the product. In one example of the association process described below, a search query entered by a user is selected from the search query or the search results of the search query when it co-occurs with the product purchased by the user within a predetermined period of time. Content features are added to the product as tags.

First, the associating device 100 receives the search query entered by the user from the user device 10 via the electronic market. Then, the association device 100 stores the received search query as the user's search history information.

As shown in FIG. 2, for example, the association device ₁₀₀ receives the search query "fireworks" input by the user U1 from the user device 101 via the shopping content C11. Then, the association device 100 stores the received search query "fireworks" as the search history information of the user U1.

Similar to the case of the shopping content C11 of FIG. 2, the association device 100 also receives the search query input by the user other than the user U1 via the shopping content included in the electronic market. In this way, the association device 100 stores the search query input by the user other than the user U1 as the search history information of the user other than the user U1.

The associating device 100 then receives a product purchase request from the user device 10 via the electronic market. In response to the receipt of the purchase request, the association device 100 stores the product ID that identifies the product purchased by the user as the purchase history information of the user.

As shown in FIG. 2, for example, the association device ₁₀₀ receives a purchase request for the product “Yukata Y1” from the user device 101 via the shopping content C22. In response to the receipt of the purchase request, the association device 100 stores the product ID that identifies the product "Yukata Y1" purchased by the user U1 as the purchase history information of the user U1.

Similar to the case of the shopping content C22 of FIG. 2, the association device 100 also receives the purchase request of the product from the user device 10 other than the user device 10 ₁ via the shopping content included in the electronic market. In this way, the association device 100 stores the product ID that identifies the product purchased by the user other than the user U1 as the purchase history information of the user other than the user U1.

Next, the association device 100 identifies a search query that co-occurs with the product purchased by the user within a predetermined period based on the user's search history information and the user's purchase history information. This predetermined period is, for example, a predetermined period (for example, one week) until the time when the user purchases the product. This predetermined period may be a predetermined period (for example, one week) from the time when the user purchases the product.

For example, the association device 100 makes a search query that is significantly related to the product purchased by the user within a predetermined period (for example, within one week) based on the user's search history information and the user's purchase history information. It is specified as a search query that co-occurs with the product purchased by the user within a predetermined period.

More specifically, the association device 100 uses the user's search history information and the user's purchase history information to "the number of users who have input a predetermined search query within a predetermined period and have purchased a predetermined product". "Number of users who entered a given search query within a given period and did not purchase a given product", "A number of users who did not enter a given search query within a given period and purchased a given product" Identify "number of users" and "number of users who did not enter a given search query within a given time period and did not purchase a given product". Then, in the association device 100, based on the number of the specified users, "the ratio of the users who purchased the predetermined product among the users who input the predetermined search query within the predetermined period" is "within the predetermined period". It is determined whether or not it is significantly higher than "the ratio of users who purchased a predetermined product among users who did not enter a predetermined search query" (for example, a P value of 0.05 or less). The association device 100 has a "ratio of users who have purchased a predetermined product among users who have input a predetermined search query within a predetermined period" to "a user who has not input a predetermined search query within a predetermined period". When it is determined that the percentage of users who have purchased a predetermined product is significantly higher, this predetermined search query co-occurs with the predetermined product purchased by the user within a predetermined period. Identify as a query.

Note that the search query that co-occurs with the product purchased by the user within a predetermined period is, for example, a search query that is significantly related to the product purchased by the user within the predetermined period, but is not limited to this. do not have. The search query that co-occurs with the product purchased by the user within a predetermined period may be a search query corresponding to a time series pattern.

For example, the association device 100 is a time series in which a predetermined percentage of users who input a predetermined search query within a predetermined period purchase a predetermined product based on the user's search history information and the user's purchase history information. Generate a pattern (eg, support above a given threshold (ie, minimum support)). When this predetermined ratio satisfies a predetermined threshold value (for example, "60%"), the association device 100 co-occurs a predetermined search query with a predetermined product purchased by the user within a predetermined period. It may be specified as a search query.

For illustration purposes, in the example of FIG. 2, the association device 100 makes a search query "fireworks" with the product "Yukata Y1" within a predetermined period based on the user's search history information and the user's purchase history information. It is assumed that it is specified as a co-occurrence search query in.

After that, the association device 100 attaches the feature of the content selected from the specified search query or the search result of the specified search query to the product purchased by the user as a tag.

For example, the association device 100 attaches a keyword corresponding to the specified search query to the product purchased by the user as a tag. Further, for example, the association device 100 uses TF-IDF (Term Frequency --Inverse Document Frequency) to assign weights to keywords included in the content selected from the search results of the specified search query. When the assigned weight is larger than a predetermined threshold value, the association device 100 attaches the keyword included in the selected content to the product purchased by the user as a tag.

As shown in FIG. 2, the association device 100 assigns, for example, the keyword “fireworks” corresponding to the specified search query to the product “Yukata Y1” as a tag. In the example of FIG. 2, the tag T1 is shown as the tag "fireworks" attached to the product "Yukata Y1".

As described above, the association device 100 according to the embodiment is a search query or a search result of a search query when the search query input by the user co-occurs with the product purchased by the user within a predetermined period. The characteristics of the selected content are added to the product as tags. As a result, the association device 100 and the tag corresponding to the potential desire of the customer of the product can be attached to the product. Therefore, it is possible to improve the accuracy of product search by the association device 100 and the tag. Hereinafter, the association device 100 that realizes such an association process will be described in detail.

[3. Configuration of association device]
Next, a configuration example of the association device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the association device 100 according to the embodiment. As shown in FIG. 3, the association device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The association device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from an administrator or the like who uses the association device 100, and a display unit (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. The communication unit 110 is connected to the network network by wire or wirelessly, and transmits / receives information to / from the user device 10 via the network network.

(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 has an action information storage unit 121 and a purchase history information storage unit 122.

(Behavior information storage unit 121)
FIG. 4 is a diagram showing an example of the behavior information storage unit 121 according to the embodiment. The behavior information storage unit 121 stores behavior information indicating the behavior of the user. For example, the behavior information storage unit 121 stores behavior information indicating the behavior of a user on the network. For example, the behavior information storage unit 121 stores the behavior information received by the reception unit 131. In the example of FIG. 4, "behavior information" is stored in the action information storage unit 121 for each "user ID". As an example, the "behavior information" includes the item "search history information". It should be understood that the term "behavior" may include user behavior outside the network. For example, if the user's behavior is movement, the behavior information may indicate the user's behavior outside the network.

The "user ID" indicates an identifier for identifying a user. "Search history information" indicates a user's search history. The "search history information" includes the items "search query" and "content". A "search query" indicates a search query entered by the user. "Content" indicates content selected from the search results of a search query entered by the user.

For example, FIG. 4 shows that the search query entered by the user identified by the user ID "U1" is "fireworks".

Further, for example, FIG. 4 shows that the content selected from the search results of the search query input by the user identified by the user ID “U1” is “content C12”. The content C12 corresponds to the content identified by the content ID "C12". The content ID is an identifier for identifying the content.

The behavior information stored in the behavior information storage unit 121 may be behavior information indicating the behavior of the user in a predetermined period. For example, the behavior information stored in the behavior information storage unit 121 may be behavior information indicating the time when the user takes an action.

For example, the "behavior information" may include the item "time" (not shown). For example, "time" indicates the time when the user took an action. Further, for example, the time indicates the time when the search history information is accumulated in the action information storage unit 121.

Further, for example, the "search history information" may include the items "search time" and "selection time" (not shown). The "search time" indicates, for example, the time when the user enters a search query. The "selection time" indicates, for example, the time when the user selects content from the search results of the search query.

In addition, the item "context information" (not shown) may be included in the "behavior information". The context information indicates the user's context. The term "context" refers to the context of an action, the background of the action, the relationship between actions, the action situation of the action, the situation in which the user is placed, the environment in which the user is placed, the behavior pattern of the user, the interests and interests of the user, etc. Represents.

For example, the "context information" may include the item "schedule" (not shown). "Schedule" indicates, for example, a user's schedule. For example, the schedule may be a schedule indicating the time when the user is supposed to go to the fireworks display. The context information regarding such a schedule is received by the receiving unit 131 via, for example, an application installed in the user apparatus 10 (for example, a schedule management application).

The "behavior information" may include the item "purchase history information" (not shown). The purchase history information indicates the purchase history of the user. The purchase history information may be purchase history information indicating the purchase time. For example, the purchase history information may be purchase history information indicating that the user has purchased fireworks. Further, for example, the purchase history information may be purchase history information indicating the time when the user purchased the fireworks.

In addition, the item "browsing history information" (not shown) may be included in the "behavior information". The browsing history information indicates the browsing history of the user. For example, the browsing history information may indicate the content browsed by the user. Further, for example, the browsing history information may show features related to the content browsed by the user. As an example, the content viewed by the user may be a fireworks display page. In this example, the feature of the content viewed by the user may be fireworks. The browsing history information may indicate the time when the user browses the content.

In addition, the item "usage history information" (not shown) may be included in the "behavior information". The usage history information indicates the usage history of the user. For example, the usage history information may indicate the service used by the user. Further, for example, the usage history information may show features related to the service used by the user. As an example, the service used by the user may be a fireworks tour reservation service. In this example, the feature associated with the service used by the user may be fireworks. The usage history information may indicate the time when the user uses the service.

In addition, the item "viewing history information" (not shown) may be included in the "behavior information". The viewing history information indicates the viewing history of the user. For example, the viewing history information may indicate a moving image viewed by the user. Further, for example, the viewing history information may show features related to the moving image viewed by the user. As an example, the moving image viewed by the user may be a movie on the subject of fireworks. In this example, the feature associated with the moving image viewed by the user may be fireworks. The viewing history information may indicate the time when the user has viewed the moving image.

In addition, the item "sales history information" (not shown) may be included in the "behavior information". The sales history information indicates the sales history of the user. For example, the sales history information may indicate a product sold by the user. Further, for example, the sales history information may show features related to the product sold by the user. As an example, the product sold by the user may be a fireworks set sold by online shopping or a fireworks set put up for auction. In this example, the feature associated with the goods sold by the user may be fireworks. The sales history information may indicate the time when the user sold the product.

In addition, the item "movement history information" (not shown) may be included in the "behavior information". The movement history information indicates the movement history of the user. For example, the movement history information may indicate the movement destination of the user. Further, for example, the movement history information may show features related to the movement destination of the user. As an example, the destination of the user may be the venue of a predetermined fireworks display. In this example, the feature associated with the destination of the user may be fireworks. The movement history information may indicate the arrival time of the user.

(Purchase history information storage unit 122)
FIG. 5 is a diagram showing an example of the purchase history information storage unit 122 according to the embodiment. The purchase history information storage unit 122 stores purchase history information indicating the user's purchase history. For example, the purchase history information storage unit 122 stores the purchase history information received by the reception unit 131. In the example of FIG. 5, "purchase history information" is stored in the purchase history information storage unit 122 for each "user ID". By way of example, the "purchase history information" includes the items "product ID" and "product title". The purchase history information stored in the purchase history information storage unit 122 may be stored as an item of behavior information in the behavior information storage unit 121 described above. As described above, the behavior information stored in the behavior information storage unit 121 may include the item "purchase history information".

As described above, the "user ID" indicates an identifier for identifying the user. The "product ID" indicates an identifier for identifying the product purchased by the user. The "product title" indicates the title of the product purchased by the user.

For example, FIG. 5 shows that the identifier of the product purchased by the user identified by the user ID “U1” is “M1”.

Further, for example, FIG. 5 shows that the title of the product identified by the product ID “M1” is “Yukata Y1”.

The purchase history information stored in the purchase history information storage unit 122 may be purchase history information indicating the purchase time.

For example, the "purchase history information" may include an item "time" (not shown). The "time" indicates, for example, the time when the user purchased the product. The time may indicate the time when the purchase history information is stored in the purchase history information storage unit 122.

(Control unit 130)
The control unit 130 is a controller, and is stored in a storage device inside the association device 100 by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). (Corresponding to one example) is realized by executing RAM or the like as a work area. Further, the control unit 130 is a controller, and may be 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. 3, the control unit 130 includes a reception unit 131, an acquisition unit 132, an association unit 133, and a provision unit 134, and realizes or executes an information processing function or operation described below. .. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be any other configuration as long as it is configured to perform information processing described later.

(Receiver 131)
The receiving unit 131 receives behavior information indicating the behavior of the user. For example, the receiving unit 131 receives behavior information indicating the behavior of a user on the network. For example, the receiving unit 131 receives behavior information from a predetermined server device. The receiving unit 131 may receive behavioral information via the electronic market provided by the providing unit 134. The receiving unit 131 may store the received behavior information in the behavior information storage unit 121.

The receiving unit 131 may receive behavior information including search history information indicating the user's search history. In addition, the receiving unit 131 may receive behavior information indicating the behavior of the user in a predetermined period. For example, the receiving unit 131 may receive action information indicating the time when the user takes an action. Further, the receiving unit 131 may receive behavior information including context information indicating the user's context.

The receiving unit 131 may receive the search history information via the content provided by the providing unit 135 (for example, the content of the search or the content of the portal). The receiving unit 131 may store the received search history information in the action information storage unit 121.

The receiving unit 131 may receive action information from the user of the association device 100 via the user interface. The receiving unit 131 may store the received behavior information in the behavior information storage unit 121.

In one example, the receiving unit 131 receives the search query input by the user from the user apparatus 10 via the electronic market. Then, the receiving unit 131 stores the received search query as the user's search history information.

The receiving unit 131 receives the purchase history information indicating the purchase history of the user. For example, the receiving unit 131 receives purchase history information from a predetermined server device. The receiving unit 131 may receive the purchase history information via the electronic market provided by the providing unit 134. The receiving unit 131 may store the received purchase history information in the purchase history information storage unit 122.

The receiving unit 131 may receive the purchase history information indicating the purchase time.

The receiving unit 131 may receive the purchase history information via the electronic market (for example, shopping content) provided by the providing unit 135. The receiving unit 131 may store the received purchase history information in the action information storage unit 121.

The receiving unit 131 may receive purchase history information from the user of the associating device 100 via the user interface. The receiving unit 131 may store the received purchase history information in the purchase history information storage unit 122.

In one example, the receiving unit 131 receives a purchase request for a product from the user device 10 via the electronic market. In response to the receipt of the purchase request, the receiving unit 131 stores the product ID that identifies the product purchased by the user as the purchase history information of the user.

The receiving unit 131 may receive the context information via the content provided by the providing unit 135 (for example, the content of the calendar). The receiving unit 131 may store the received context information in the action information storage unit 121.

The receiving unit 131 may receive browsing history information via the content provided by the providing unit 135 (for example, the content of the search). The receiving unit 131 may store the received browsing history information in the action information storage unit 121.

The receiving unit 131 may receive usage history information via the content provided by the providing unit 135 (for example, travel content). The receiving unit 131 may store the received usage history information in the action information storage unit 121.

The receiving unit 131 may receive usage history information via the content provided by the providing unit 135 (for example, travel content). The receiving unit 131 may store the received usage history information in the action information storage unit 121.

The receiving unit 131 may receive viewing history information via the content provided by the providing unit 135 (for example, the content of a moving image). The receiving unit 131 may store the received viewing history information in the behavior information storage unit 121.

The receiving unit 131 may receive the sales history information via the content provided by the providing unit 135 (for example, the content of the auction). The receiving unit 131 may store the received sales history information in the behavior information storage unit 121.

The receiving unit 131 may receive the movement history information via the content provided by the providing unit 135 (for example, the content of the map). The receiving unit 131 may store the received movement history information in the action information storage unit 121.

(Acquisition unit 132)
The acquisition unit 132 acquires the first action information indicating the user's first action and the second action information indicating the user's second action. For example, the acquisition unit 132 acquires the first action information indicating the first action of the user on the network and the second action information indicating the second action of the user on the network.

For example, the acquisition unit 132 acquires the purchase history information indicating the transaction target purchased by the user as the second action information.

Further, for example, the acquisition unit 132 acquires the first action information indicating the first action of the user in a predetermined period.

Further, for example, the acquisition unit 132 acquires the user's search history information as the first action information.

The acquisition unit 132 acquires, for example, the action information received by the reception unit 131. The acquisition unit 132 may acquire behavior information from a predetermined storage device. For example, the acquisition unit 132 may acquire behavior information from the behavior information storage unit 121. The acquisition unit 132 may store the acquired behavior information in the behavior information storage unit 121.

The acquisition unit 132 acquires, for example, the purchase history information received by the reception unit 131. The acquisition unit 132 may acquire purchase history information from a predetermined storage device. For example, the acquisition unit 132 may acquire purchase history information from the purchase history information storage unit 122. The acquisition unit 132 may store the acquired purchase history information in the purchase history information storage unit 122.

The acquisition unit 132 may acquire the user's purchase history information as the first action information.

Further, the acquisition unit 132 may acquire the user's context information as the first action information. Further, the acquisition unit 132 may acquire the user's browsing history information as the first action information. Further, the acquisition unit 132 may acquire the user's usage history information as the first action information. Further, the acquisition unit 132 may acquire the user's viewing history information as the first action information. Further, the acquisition unit 132 may acquire the user's sales history information as the first action information. Further, the acquisition unit 132 may acquire the user's movement history information as the first action information.

(Association unit 133)
The association unit 133 relates to the user's first action indicated by the first action information acquired by the acquisition unit 132 and the user's second action indicated by the second action information acquired by the acquisition unit 132. Based on co-occurrence, the information corresponding to the user's first action is associated with the information corresponding to the transaction target related to the user's second action.

For example, the association unit 133 is indicated by the behavior of the first user indicated by the first behavior information acquired by the acquisition unit 132 and the purchase history information (that is, the second behavior information) acquired by the acquisition unit 132. Based on the co-occurrence with the transaction target, the information corresponding to the user's first action is associated with the information corresponding to the transaction target. In this case, the transaction target related to the second action of the user is the transaction target indicated by the purchase history information acquired by the acquisition unit 132.

Further, for example, the association unit 133 in a predetermined period is based on the co-occurrence between the user's first action and the transaction target in the predetermined period indicated by the first action information acquired by the acquisition unit 132. The information corresponding to the user's first action is associated with the information corresponding to the transaction target.

Further, for example, the association unit 133 associates the information indicating the user's first action with the information corresponding to the transaction target by attaching a tag related to the user's first action to the transaction target. In this case, the user's first action relates to the tag attached to the transaction target. On the other hand, the second action of the user relates to the transaction target to which the tag is attached.

For example, the association unit 133 identifies a search query input by the user based on the search history information acquired by the acquisition unit 132, and uses the identified search query as a tag related to the user's first action. , Grant to the transaction target. Further, for example, the association unit 133 identifies the content searched by the search query input by the user based on the search history information acquired by the acquisition unit 132, and the user identifies the features related to the specified content. As a tag related to the first action of, it is given to the transaction target.

In one example, the association unit 133 may attach a tag related to the user's first action to the transaction target by storing the tag related to the user's first action in association with the transaction target. In this case, the predetermined storage device may store the information corresponding to the transaction target (identifier for identifying the transaction target) in association with the tag related to the first action of the user. In another example, the association unit 133 may assign a tag related to the user's first action to the transaction target by assigning a tag related to the user's first action to the transaction target. In yet another example, the association unit 133 includes a tag related to the user's first action (for example, a metadata tag) in the content related to the transaction target, so that the tag related to the user's first action is included. May be granted to the transaction target. That is, even if the association unit 133 embeds the tag related to the user's first action in the component included in the content related to the transaction target, the tag related to the user's first action is given to the transaction target. good.

In one example, first, the association unit 133 identifies a search query that co-occurs with a product purchased by the user within a predetermined period based on the user's search history information and the user's purchase history information. This predetermined period is, for example, a predetermined period (for example, one week) until the time when the user purchases the product. This predetermined period may be a predetermined period (for example, one week) from the time when the user purchases the product.

For example, the association unit 133 performs a search query that is significantly related to the product purchased by the user within a predetermined period (for example, within one week) based on the user's search history information and the user's purchase history information. It is specified as a search query that co-occurs with the product purchased by the user within a predetermined period.

For example, the association unit 133 describes "the number of users who have input a predetermined search query within a predetermined period and purchased a predetermined product" and "a predetermined period" from the user's search history information and the user's purchase history information. "Number of users who entered a given search query and did not purchase a given product", "Number of users who did not enter a given search query within a given period and purchased a given product" , And "the number of users who did not enter a given search query within a given time period and did not purchase a given product". Then, the association unit 133 sets the "ratio of users who have purchased a predetermined product among the users who have input a predetermined search query within a predetermined period" to "within a predetermined period" based on the number of specified users. It is determined whether or not it is significantly higher than "the ratio of users who purchased a predetermined product among users who did not enter a predetermined search query" (for example, a P value of 0.05 or less). In the association unit 133, "the ratio of the users who purchased the predetermined product among the users who input the predetermined search query within the predetermined period" is "the users who did not input the predetermined search query within the predetermined period". When it is determined that the percentage of users who have purchased a predetermined product is significantly higher, this predetermined search query co-occurs with the predetermined product purchased by the user within a predetermined period. Identify as a query.

The search query that co-occurs with the product purchased by the user within a predetermined period may be a search query corresponding to a time series pattern.

For example, the association unit 133 is a time series in which a predetermined percentage of users who input a predetermined search query within a predetermined period purchase a predetermined product based on the user's search history information and the user's purchase history information. Generate a pattern (eg, support above a given threshold (ie, minimum support)). When this predetermined ratio satisfies a predetermined threshold value (for example, "60%"), the association unit 133 co-occurs a predetermined search query with a predetermined product purchased by the user within a predetermined period. It may be specified as a search query.

Next, the association unit 133 attaches the feature of the content selected from the specified search query or the search result of the specified search query to the product purchased by the user as a tag.

For example, the association unit 133 attaches a keyword corresponding to the specified search query to the product purchased by the user as a tag. Further, for example, the association unit 133 uses TF-IDF to assign weights to keywords included in the content selected from the search results of the specified search query. When the assigned weight is larger than a predetermined threshold value, the association unit 133 attaches the keyword included in the selected content to the product purchased by the user as a tag.

The association unit 133 identifies the transaction target purchased by the user based on the purchase history information acquired by the acquisition unit 132, and uses the specified transaction target as a tag related to the user's first action as the user. It may be granted to the transaction target related to the second action of. Further, the association unit 133 identifies the content including the content item for purchasing the transaction target purchased by the user based on the purchase history information acquired by the acquisition unit 132, and the feature related to the specified content. May be attached to the transaction target related to the user's second action as a tag related to the user's first action. That is, the transaction target related to the second action of the user may be attached as a tag to the transaction target determined based on the first action information which is the purchase history information of the user.

In one example, as in the case of the above-mentioned example, the association unit 133 identifies a certain product purchased by the user and another product purchased by the user who co-occurs within a predetermined period based on the purchase history information of the user. You may. For example, in the association unit 133, a user who co-occurs with a certain product purchased by the user to purchase another product purchased by the user who is significantly related to a certain product purchased by the user within a predetermined period. It may be specified as another product. Then, as in the case of the above-mentioned example, the association unit 133 attaches the characteristics of the specified product or the content related to the specified product (for example, the product page) to other products purchased by the user as tags. You may. For example, the association unit 133 may add a keyword (for example, a product name) corresponding to the specified product to another product purchased by the user as a tag. Further, for example, the association unit 133 may use TF-IDF to assign weights to keywords included in the content related to the specified product. When the assigned weight is larger than a predetermined threshold value, the association unit 133 may attach a keyword included in the content related to the specified product to other products purchased by the user as a tag.

In another example, as in the case of the above-mentioned example, the association unit 133 is based on the user's context information and the user's purchase history information, and the product purchased by the user (for example, a yukata) within a predetermined period of time. You may specify the context that co-occurs in (eg, the schedule of the fireworks display). Then, as in the case of the above-mentioned example, the association unit 133 may add a feature (for example, fireworks) related to the specified context to the product purchased by the user as a tag.

In yet another example, the association unit 133 determines the product (for example, yukata) purchased by the user based on the user's browsing history information and the user's purchase history information, as in the case of the above-mentioned example. Content that co-occurs within the period (eg, fireworks display page) may be specified. Then, the association unit 133 may add a feature (for example, fireworks) related to the specified content to the product purchased by the user as a tag, as in the case of the above-mentioned example.

In yet another example, the association unit 133 determines the product (for example, yukata) purchased by the user based on the user's usage history information and the user's purchase history information, as in the case of the above-mentioned example. Services that co-occur within the period (eg, fireworks tour reservation service) may be specified. Then, as in the case of the above-mentioned example, the association unit 133 may add a feature (for example, fireworks) related to the specified service to the product purchased by the user as a tag.

In yet another example, the association unit 133 determines the product (for example, yukata) purchased by the user based on the user's viewing history information and the user's purchase history information, as in the case of the above-mentioned example. Moving images that co-occur within the period (for example, a movie about fireworks) may be specified. Then, the association unit 133 may attach a feature (for example, fireworks) related to the specified moving image as a tag to the product purchased by the user, as in the case of the above-mentioned example.

In yet another example, the association unit 133 determines the product (for example, yukata) purchased by the user based on the user's sales history information and the user's purchase history information, as in the case of the above-mentioned example. Products that co-occur within the period (for example, a fireworks set sold in online shopping or a fireworks set put up in an auction) may be specified. Then, the association unit 133 may attach a feature (for example, fireworks) related to the specified product to the product purchased by the user as a tag, as in the case of the above-mentioned example.

In yet another example, the association unit 133 determines the product (for example, yukata) purchased by the user based on the user's movement history information and the user's purchase history information, as in the case of the above-mentioned example. You may specify the destination of co-occurrence within the period (for example, the venue of a predetermined fireworks display). Then, the association unit 133 may attach a feature (for example, fireworks) related to the specified destination as a tag to the product purchased by the user, as in the case of the above-mentioned example.

(Providing section 135)
The providing unit 135 provides the electronic market (for example, content related to the electronic market) to the user device 10. For example, the providing unit 135 transmits the content related to the electronic market to the user device 10 when the receiving unit 131 receives the transmission request of the content related to the electronic market.

For example, the provider 135 provides an electronic market in which the user of the user apparatus 10 can purchase or sell a transaction object (eg, a product or service). For example, the providing unit 135 provides the user device 10 with a service related to an electronic shopping district such as an online shopping service. For example, the providing unit 135 provides shopping content to the user device 10.

The transaction target in the above-mentioned electronic market may be a product or a service (for example, reservation of a restaurant or a hotel, travel). When the transaction target is a product, the provider 135 may provide an electronic market in which the user of the user device 10 can purchase or sell the product. On the other hand, when the transaction target is a service, the providing unit 135 may provide an electronic market in which the user of the user apparatus 10 can use or provide the service. For example, the provider 135 may provide an electronic market where the user can reserve a restaurant. More generally, "purchase" and "use" can be read as "conversion".

The providing unit 135 may provide the user device 10 with contents such as search, portal, shopping, auction, travel, restaurant introduction, finance information, video, game, map, route information, real estate information, and calendar.

[4. Association processing flow]
Next, the procedure of the association processing by the association device 100 according to the embodiment will be described. FIG. 6 is a flowchart showing an association processing procedure by the association device 100 according to the embodiment.

As shown in FIG. 6, first, the associating device 100 obtains the first action information indicating the first action of the user on the network and the second action information indicating the second action of the user on the network. Acquire (step S101).

For example, the associating device 100 acquires the purchase history information indicating the transaction target purchased by the user as the second action information.

Further, for example, the association device 100 acquires the first action information indicating the first action of the user in a predetermined period.

Further, for example, the association device 100 acquires the user's search history information as the first action information.

Next, the association device 100 is based on the co-occurrence of the user's first action indicated by the acquired first action information and the user's second action indicated by the acquired second action information. , The information corresponding to the first action of the user and the information corresponding to the transaction target related to the second action of the user are associated (step S102).

For example, the association device 100 is co-occurrence between the behavior of the first user indicated by the acquired first behavior information and the transaction target indicated by the acquired purchase history information (that is, the second behavior information). Based on, the information corresponding to the user's first action is associated with the information corresponding to the transaction target. In this case, the transaction target related to the second action of the user is the transaction target indicated by the acquired purchase history information.

Further, for example, the association device 100 is a user's first behavior in a predetermined period based on the co-occurrence between the user's first behavior and the transaction target in the predetermined period indicated by the acquired first behavior information. The information corresponding to the behavior of is associated with the information corresponding to the transaction target.

Further, for example, the association device 100 associates the information indicating the user's first action with the information corresponding to the transaction target by attaching a tag related to the user's first action to the transaction target.

For example, the association device 100 identifies a search query input by the user based on the acquired search history information, and sets the identified search query as a tag related to the user's first action as a transaction target. Give. Further, for example, the association device 100 identifies the content searched by the search query input by the user based on the acquired search history information, and the first feature of the user is related to the identified content. It is given to the transaction target as a tag related to the action.

[5. Modification example]
The association device 100 according to the above-described embodiment may be implemented in various different forms other than the above-mentioned embodiment. Therefore, in the following, another embodiment of the above-mentioned association device 100 will be described.

[5-1. Association based on a given period corresponding to the transaction target]
The acquisition unit 132 may acquire the first action information indicating the first action of the user in a predetermined period corresponding to the transaction target. The association unit 133 sets the transaction target based on the co-occurrence between the user's first action and the transaction target in a predetermined period corresponding to the transaction target indicated by the first action information acquired by the acquisition unit 132. The information corresponding to the first action of the user in the corresponding predetermined period may be associated with the information corresponding to the transaction target. That is, the association unit 133 may change a predetermined period selected for determining the co-occurrence between the user's first action and the transaction target, depending on the transaction target.

In one example, when the transaction target is the product "Yukata Y1", even if the acquisition unit 132 acquires the behavior information indicating the user's behavior in the predetermined period "1 week" corresponding to the product "Yukata Y1". good. In this example, the association unit 133 provides information corresponding to the user's behavior in the predetermined period "1 week" based on the co-occurrence between the user's behavior in the predetermined period "1 week" and the product "Yukata Y1". And the information corresponding to the product "Yukata Y1" may be associated with each other.

In another example, when the transaction target is the service "Hotel H1 (that is, the reservation of the hotel H1)", the acquisition unit 132 of the user in the predetermined period "3 weeks" corresponding to the service "Hotel H1". Behavioral information indicating the behavior may be acquired. In this example, the association unit 133 provides information corresponding to the user's behavior in the predetermined period "3 weeks" based on the co-occurrence between the user's behavior in the predetermined period "3 weeks" and the service "Hotel H1". And the information corresponding to the service "Hotel H1" may be associated with each other.

The association unit 133 may determine a predetermined period corresponding to the above-mentioned transaction target based on the behavior information acquired by the acquisition unit 132 and the purchase history information acquired by the acquisition unit 132.

For example, the association unit 133 has the acquisition unit 132 based on the co-occurrence between the user's behavior indicated by the behavior information acquired by the acquisition unit 132 and the transaction target indicated by the purchase history information acquired by the acquisition unit 132. You may specify a predetermined period in which the co-occurrence between the user's behavior and the transaction target in the predetermined period indicated by the behavior information acquired by the transaction target is optimized. More specifically, by moving the association unit 133 for a predetermined period, the co-occurrence between the user's behavior and the transaction target in the predetermined period indicated by the behavior information acquired by the acquisition unit 132 is optimized. A predetermined period may be specified. Then, the association unit 133 may determine the specified predetermined period as a predetermined period corresponding to the transaction target. The association unit 133 may determine the specified predetermined period as a predetermined period corresponding to the category to which the transaction target belongs.

For example, the association unit 133 identifies a significant relationship between a predetermined product purchased by a user and a search query for each period of a plurality of periods (for example, 1 week, 2 weeks, 3 weeks). You may. For example, the association unit 133 may specify a relationship having a P value of 0.05 or less for each of a plurality of periods. Then, the association unit 133 is one of the plurality of periods based on the P value calculated for each relationship between one of the plurality of periods and the predetermined product purchased by the user and the search query. One period may be determined as a predetermined period corresponding to a predetermined product purchased by the user.

In one example, the association unit 133 may determine the period "1 week" as a predetermined period corresponding to the product "Yukata Y1" based on the calculated P value. In this example, the association unit 133 may determine the period "1 week" as a predetermined period corresponding to the category "fashion" to which the product "yukata" belongs, based on the calculated P value.

In another example, the association unit 133 may determine the period "3 weeks" as a predetermined period corresponding to the service "Hotel H1" based on the calculated P-value. In this example, the association unit 133 may determine the period "3 weeks" as a predetermined period corresponding to the category "travel" to which the service "hotel H1" belongs, based on the calculated P-value.

The association unit 133 may execute time-series pattern mining using the action information acquired by the acquisition unit 132 and the purchase history information acquired by the acquisition unit 132. Then, the association unit 133 may generate a time-series pattern in which a predetermined percentage of users who have taken a predetermined action within a predetermined period purchase a predetermined transaction target. When this predetermined ratio satisfies a predetermined threshold value (for example, "60%"), the association unit 133 sets a predetermined period included in the generated time series pattern to be included in the generated time series pattern. It may be determined as a predetermined period corresponding to the transaction target of.

[5-2. Associations based on transaction targets included in search results]
The association unit 133 identifies the transaction target searched by the search query input by the user based on the search history information acquired by the acquisition unit 132, and the information corresponding to the specified transaction target and the acquisition unit 132. It may be associated with the information corresponding to the transaction target indicated by the purchase history information obtained by.

For example, the association unit 133 may specify a product included in the search result as the content searched by the search query input by the user. Then, the association unit 133 includes a product (for example, "yukata") corresponding to the product (for example, "yukata Y1") indicated by the purchase history information acquired by the acquisition unit 132 in the search result. , The product "Fireworks set FS1" in FIG. 2) may be attached as a tag. The association unit 133 is a product indicated by the purchase history information acquired by the acquisition unit 132, and assigns a keyword corresponding to the product purchased by the user to the product included in the search result as a tag within a predetermined period. You may.

[5-3. Information acquired as the second action information]
The acquisition unit 132 may acquire the search history information indicating the transaction target searched by the user as the second action information.

As an example, the transaction target searched by the user is entered in the search box of contents such as search, portal, shopping, auction, travel, restaurant introduction, finance information, video, game, map, route information, real estate information, calendar, etc. It may be a keyword corresponding to the search query. For example, when the user inputs the keyword "yukata" in the search box of the shopping content, the transaction target searched by the user may be "yukata". As another example, the transaction target searched by the user may be a feature of the content selected from the search query entered in the search box of such content. For example, when the user selects a product page related to the product "Yukata", the transaction target searched by the user may be "Yukata".

The association unit 133 is a transaction indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the search history information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with the target, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the user's second action is the transaction target searched by the user.

In one example, the association unit 133 may specify a search query that co-occurs with the product searched by the user within a predetermined period based on the user's search history information, as in the case of the above-mentioned example. For example, the association unit 133 may specify a search query that is significantly related to a certain product searched by the user within a predetermined period as a search query that co-occurs with the product searched by the user within a predetermined period. Then, as in the case of the above-mentioned example, the association unit 133 attaches the feature of the content selected from the specified search query or the search result of the specified search query to the product searched by the user as a tag. May be good. For example, the association unit 133 may add a keyword corresponding to the specified search query to the product searched by the user as a tag. Further, for example, the association unit 133 may use TF-IDF to assign weights to keywords included in the content selected from the search results of the specified search query. When the assigned weight is larger than a predetermined threshold value, the association unit 133 may add a keyword included in the selected content to the product searched by the user as a tag.

The acquisition unit 132 may acquire the context information indicating the transaction target related to the user's context as the second action information. As an example, the transaction target related to the user's context may be a keyword related to a product or a service among a plurality of keywords registered in the user's schedule. For example, when the user adds the event "Yukata dyeing experience" to the schedule, the transaction target related to the user's context may be "Yukata".

The association unit 133 is a transaction target indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the context information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the user's second action is the transaction target related to the user's context.

Further, the acquisition unit 132 may acquire the browsing history information indicating the transaction target browsed by the user as the second action information. As an example, the transaction target browsed by the user may be a keyword related to a product or a service among a plurality of keywords included in the content browsed by the user. For example, when the user browses the content related to the "yukata", the transaction target browsed by the user may be the "yukata".

The association unit 133 is a transaction indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the browsing history information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with the target, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the user's second action is the transaction target viewed by the user.

Further, the acquisition unit 132 may acquire the usage history information indicating the transaction target used by the user as the second action information. As an example, the transaction target used by the user may be a keyword related to the service used by the user. For example, when the user uses the service related to "rental of yukata", the transaction target used by the user may be "yukata".

The association unit 133 is a transaction indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the usage history information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with the target, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the second action of the user is the transaction target used by the user.

Further, the acquisition unit 132 may acquire the browsing history information indicating the transaction target viewed by the user as the second action information. As an example, the transaction target viewed by the user may be an object related to a product or a service among a plurality of objects included in the moving image viewed by the user. For example, when the scene in the moving image viewed by the user includes the object "yukata", the transaction target viewed by the user may be the "yukata".

The association unit 133 is a transaction indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the viewing history information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with the target, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the user's second action is the transaction target viewed by the user.

Further, the acquisition unit 132 may acquire the sales history information indicating the transaction target sold by the user as the second action information. As an example, the transaction target sold by the user may be a product sold by the user online (for example, "yukata"). As another example, the transaction target sold by the user may be a product (for example, "yukata") that the user has put up for auction.

The association unit 133 is a transaction indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the sales history information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with the target, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the second action of the user is the transaction target sold by the user.

Further, the acquisition unit 132 may acquire the movement history information indicating the transaction target related to the user's movement destination as the second action information. As an example, the transaction target related to the user's destination may be a product sold at the destination. For example, when the user's destination is a "yukata specialty store", the transaction target related to the user's destination may be "yukata".

The association unit 133 is a transaction indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the movement history information (that is, the second action information) acquired by the acquisition unit 132. Based on the co-occurrence with the target, the information corresponding to the user's first action may be associated with the information corresponding to the transaction target. In this case, the transaction target related to the user's second action is the transaction target related to the user's destination.

[5-4. Combination of first behavior information and second behavior information]
The acquisition unit 132 first selects any (duplicate) combination of the above-mentioned search history information, purchase history information, context information, browsing history information, usage history information, viewing history information, sales history information, and movement history information. It may be acquired as a combination of the action information and the second action information.

For example, the acquisition unit 132 may acquire the combination of the search history information and the search history information as a combination of the first action information and the second action information. Further, for example, the acquisition unit 132 may acquire the combination of the purchase history information and the search history information as a combination of the first action information and the second action information. Further, for example, the acquisition unit 132 may acquire the combination of the search history information and the purchase history information as a combination of the first action information and the second action information. Further, for example, the acquisition unit 132 may acquire the combination of the purchase history information and the purchase history information as a combination of the first action information and the second action information.

[5-5. others〕
Further, among the processes described in the above-described embodiment, a part of the processes described as being automatically performed can also be performed manually. Alternatively, all or part of the process described as being performed manually can be automatically performed by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

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 them may be functionally or physically distributed / physically distributed in any unit according to various loads and usage conditions. Can be integrated and configured.

For example, a part or all of the storage unit 120 shown in FIG. 3 may not be held by the association device 100, but may be held by a storage server or the like. In this case, the association device 100 acquires various information such as behavior information and purchase history information by accessing the storage server.

[5-6. Hardware configuration]
Further, the association 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 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 IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090. Have.

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 primary storage device 1040 is a memory device such as a RAM that temporarily stores data used by the arithmetic unit 1030 for various operations. Further, the secondary storage device 1050 is a storage device in which data used by the calculation device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD, a flash memory, or the like.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a monitor and a printer. For example, USB (Universal Serial Bus), DVI (Digital Visual Interface), and the like. It is realized by a connector of a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). Further, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, a scanner, and the like, and is realized by, for example, USB.

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. Further, the input device 1020 may be an external storage medium such as a USB memory.

The network IF 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 IF 1060 and the input IF 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 association 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.

[6. effect〕
As described above, the association device 100 according to the embodiment has an acquisition unit 132 and an association unit 133. The acquisition unit 132 acquires the first action information indicating the first action of the user on the network and the second action information indicating the second action of the user on the network. The association unit 133 relates to the user's first action indicated by the first action information acquired by the acquisition unit 132 and the user's second action indicated by the second action information acquired by the acquisition unit 132. Based on co-occurrence, the information corresponding to the user's first action is associated with the information corresponding to the transaction target related to the user's second action.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires the purchase history information indicating the transaction target purchased by the user as the second action information. Further, in the associating device 100 according to the embodiment, the associating unit 133 is indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the purchase history information acquired by the acquisition unit 132. Based on the co-occurrence with the transaction target, the information corresponding to the user's first action is associated with the information corresponding to the transaction target.

Further, in the association device 100 according to the embodiment, the acquisition unit 132 acquires the search history information indicating the transaction target searched by the user as the second action information. Further, in the association device 100 according to the embodiment, the association unit 133 is indicated by the user's first action indicated by the first action information acquired by the acquisition unit 132 and the search history information acquired by the acquisition unit 132. Based on the co-occurrence with the transaction target, the information corresponding to the user's first action is associated with the information corresponding to the transaction target.

Further, in the association device 100 according to the embodiment, the acquisition unit 132 acquires the first action information indicating the first action of the user in a predetermined period. Further, in the associating device 100 according to the embodiment, the associating unit 133 determines the co-occurrence between the user's first action and the transaction target in a predetermined period indicated by the first action information acquired by the acquisition unit 132. Based on this, the information corresponding to the user's first action in a predetermined period is associated with the information corresponding to the transaction target.

Further, in the association device 100 according to the embodiment, the acquisition unit 132 acquires behavior information indicating the user's first behavior in a predetermined period corresponding to the transaction target. Further, in the associating device 100 according to the embodiment, the associating unit 133 includes the user's first action and the transaction target in a predetermined period corresponding to the transaction target indicated by the first action information acquired by the acquisition unit 132. Based on the co-occurrence of, the information corresponding to the user's first action in a predetermined period corresponding to the transaction target is associated with the information corresponding to the transaction target.

Further, in the associating device 100 according to the embodiment, the associating unit 133 corresponds to the information indicating the user's first action and the transaction target by attaching a tag related to the user's first action to the transaction target. Associate with the information to be done.

Further, in the association device 100 according to the embodiment, the acquisition unit 132 acquires the user's search history information as the first action information. Further, in the associating device 100 according to the embodiment, the associating unit 133 identifies the search query input by the user based on the search history information acquired by the acquisition unit 132, and the identified search query is used by the user. As a tag related to the first action, it is given to the transaction target.

Further, in the association device 100 according to the embodiment, the association unit 133 identifies the content searched by the search query input by the user based on the search history information acquired by the acquisition unit 132, and the identified content. The feature related to is given to the transaction target as a tag related to the user's first action.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires the user's purchase history information as the first action information. Further, in the associating device 100 according to the embodiment, the associating unit 133 identifies the transaction target purchased by the user based on the purchase history information acquired by the acquisition unit 132, and sets the specified transaction target as the user's. As a tag related to the first action, it is given to the transaction target.

Further, in the associating device 100 according to the embodiment, the associating unit 133 identifies the content including the content item for purchasing the transaction target purchased by the user based on the purchase history information acquired by the acquisition unit 132. , The feature related to the specified content is given to the transaction target as a tag related to the user's first action.

By each of the above-mentioned processes, the association device 100 can give appropriate information to the transaction target.

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

Further, the above-mentioned association device 100 may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be called by API (Application Programming Interface), network computing, or the like to realize the configuration. It can be changed flexibly.

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

1 Network system 10 User device 100 Association device 110 Communication unit 120 Storage unit 121 Behavior information storage unit 122 Purchase history information storage unit 130 Control unit 131 Reception unit 132 Acquisition unit 133 Association unit 134 Providing unit

Claims (11)

An acquisition unit that acquires first behavior information indicating the first behavior of a user on the network and second behavior information indicating the second behavior of the user on the network.
Co-occurrence between the user's first action indicated by the first action information acquired by the acquisition unit and the user's second action indicated by the second action information acquired by the acquisition unit. With the association part that gives the tag related to the first action of the user to the transaction target related to the second action of the user when the predetermined condition is satisfied .
An association device characterized by comprising. The acquisition unit
The purchase history information indicating the transaction target purchased by the user is acquired as the second action information, and the purchase history information is acquired.
The association part is
The co-occurrence between the user's first action indicated by the first action information acquired by the acquisition unit and the transaction target indicated by the purchase history information acquired by the acquisition unit satisfies the predetermined condition. In that case, a tag related to the user's first action is given to the transaction target.
The associating device according to claim 1. The acquisition unit
The search history information indicating the transaction target searched by the user is acquired as the second action information, and the search history information is acquired.
The association part is
The co-occurrence between the user's first action indicated by the first action information acquired by the acquisition unit and the transaction target indicated by the search history information acquired by the acquisition unit satisfies the predetermined condition. In that case, a tag related to the user's first action is given to the transaction target.
The association device according to claim 1 or 2, wherein the association device is characterized by the above. The acquisition unit
The first action information indicating the first action of the user in a predetermined period is acquired, and the first action information is acquired.
The association part is
When the co-occurrence between the user's first action and the transaction target in the predetermined period indicated by the first action information acquired by the acquisition unit satisfies the predetermined condition, the predetermined period A tag related to the first action of the user is given to the transaction target.
The association device according to any one of claims 1 to 3. The acquisition unit
The first action information indicating the first action of the user in the predetermined period corresponding to the transaction target is acquired, and the first action information is acquired.
The association unit has the co-occurrence between the user's first action and the transaction target in the predetermined period corresponding to the transaction target indicated by the first action information acquired by the acquisition unit. When the conditions of the above conditions are satisfied , a tag related to the first action of the user in the predetermined period corresponding to the transaction target is given to the transaction target.
The association device according to claim 4, wherein the association device is characterized by the above. The acquisition unit
The search history information of the user is acquired as the first action information, and the search history information is acquired.
The association part is
Based on the search history information acquired by the acquisition unit, the search query input by the user is specified, and the identified search query is used as a tag related to the first action of the user in the transaction target. The association device according to any one of claims 1 to 5, wherein the association device is provided. The association part is
Based on the search history information acquired by the acquisition unit, the content searched by the search query entered by the user is specified, and the features related to the identified content are related to the first action of the user. The association device according to any one of claims 1 to 6 , wherein the tag is attached to the transaction target. The acquisition unit
The purchase history information of the user is acquired as the first action information, and the purchase history information is acquired.
The association part is
Based on the purchase history information acquired by the acquisition unit, the transaction target purchased by the user is specified, and the specified transaction target is set as the tag related to the first action of the user to the transaction target. The association device according to any one of claims 1 to 7, wherein the associating device is provided. The association part is
Based on the purchase history information acquired by the acquisition unit, the content including the content item for purchasing the transaction target purchased by the user is specified, and the feature related to the identified content is defined by the user. The association device according to any one of claims 1 to 8 , wherein the tag related to the action of 1 is attached to the transaction target. The association method that the computer performs,
An acquisition process for acquiring first behavior information indicating the first behavior of a user on the network and second behavior information indicating the second behavior of the user on the network.
Co-occurrence between the user's first action indicated by the first action information acquired by the acquisition step and the user's second action indicated by the second action information acquired by the acquisition step. When is satisfied with a predetermined condition, a tag related to the first action of the user is given to the transaction target related to the second action of the user, and an association step.
An association method characterized by including. An acquisition procedure for acquiring the first behavior information indicating the first behavior of the user on the network and the second behavior information indicating the second behavior of the user on the network.
Co-occurrence between the user's first action indicated by the first action information acquired by the acquisition procedure and the user's second action indicated by the second action information acquired by the acquisition procedure. When the predetermined condition is satisfied, the association procedure of assigning the tag related to the first action of the user to the transaction target related to the second action of the user, and the association procedure.
An association program characterized by having a computer run.

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