JP2020119463A - Associating device, associating method, and associating program - Google Patents

Abstract

To give appropriate information to a transaction object.SOLUTION: An associating device comprises an acquisition unit and an association unit. The acquisition unit acquires first action information indicating a first action of a user and second action information indicating a second action of the user on a network. The association unit associates information corresponding to the first action of the user with information corresponding to a transaction object related to the second action of the user on the basis of co-occurrence between the first action of the user indicated by the first action information acquired by the acquisition unit and the second action of the user indicated by the second action information acquired by the acquisition unit.SELECTED DRAWING: Figure 3

Description

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

2. Description of the Related Art Conventionally, there has been proposed a technique for classifying transaction targets in an electronic market such as an EC (Electronic Commerce) site and an EC application. For example, a technique has been proposed in which an input screen for inputting a hash tag given to a transaction target in the electronic market is presented (Patent Document 1). With this technology, the user of the electronic marketplace can attach an arbitrary hashtag to the transaction target in the electronic marketplace via the presented input screen.

JP, 2008-136839, A

However, in the above-mentioned conventional technique, it is not always possible to give appropriate information to the transaction target. For example, in the above-mentioned conventional technology, the hash tag given to the transaction object by the user of the electronic market is not always the information appropriate for this transaction object.

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

An associating device according to the present application, an acquisition unit that acquires first behavior information indicating a first behavior of a user on a network, and second behavior information indicating a second behavior of the user on the network, Co-occurrence of the first action of the user indicated by the first action information obtained by the obtaining unit and the second action of the user indicated by the second action information obtained by the obtaining unit On the basis of the above, the associating unit for associating the information corresponding to the first behavior of the user with the information corresponding to the transaction target related to the second behavior of the user.

According to one aspect of the embodiment, it is possible to provide appropriate information to a transaction target.

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

Hereinafter, modes (hereinafter, referred to as “embodiments”) for carrying out an associating device, an associating method, and an associating program according to the present application will be described in detail with reference to the drawings. The associating device, associating method, and associating program according to the present application are not limited by this embodiment. Further, the respective embodiments can be appropriately combined within a range in which the processing content is not inconsistent. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and the duplicated 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 a network system 1 according to the embodiment. As illustrated 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 this specification, when it is not necessary to distinguish between the user device ₁₀ 1 to 10 _n, the user device ₁₀ 1 to 10 _n are collectively referred to as "user equipment 10". The user device 10 and the association device 100 are connected to the network N by wire or wirelessly. Although not shown in FIG. 1, the network system 1 may include a plurality of associating devices 100.

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

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

In one example, the associating device 100 provides the user device 10 with content related to an electronic market (for example, an EC site) via a browser. In another example, the associating device 100 provides the user device 10 with the content related to the electronic market via an application (for example, an EC app). The associating 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 process according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of the association process according to the embodiment.

In the example of FIG. 2, the associating device 100 of FIG. 1 provides an electronic marketplace where the user of the user device 10 of FIG. 1 can buy or sell trading objects (eg, goods or services). For example, the associating device 100 provides the user device 10 with a service (not shown) related to an online shopping mall such as an online shopping service. For example, the associating device 100 provides the user device 10 with the shopping content.

In the example of FIG. 2, the user _device 101 of FIG. 1 is used by the user U1. The user U1 is a customer of the electronic market provided by the associating device 100. The user U1 searches and purchases products in the electronic market.

In the example of FIG. 2, tags are associated with merchandise in the electronic marketplace. 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 associating device 100 presents the search result including this product in response to the search query “uchiwa”. In one example, the tags may not be displayed in content related to the electronic marketplace. That is, the tag may be a metadata tag attached to the product. In another example, the tags may be displayed within content related to the electronic marketplace.

By the way, in the example of FIG. 2, a seller (not shown) of a store having an electronic market sells the product “Yukata Y1” in the electronic market. In the example of FIG. 2, the seller of this store has thought of the keywords “uchiwa”, “summer”, “festival”, and “date” as the keywords corresponding to the product “yukata Y1”. Therefore, the seller has added the keywords “fan”, “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 associating device 100 executes an associating process described below in order to attach a tag corresponding to the potential desire of the customer of the product to the product. In an example of the association process described below, when the search query input by the user co-occurs with the product purchased by the user within a predetermined period, it is selected from the search query or the search results of the search query. The characteristic of the content is added to the product as a tag.

First, the associating device 100 receives the search query input by the user from the user device 10 via the electronic marketplace. Then, the associating device 100 stores the received search query as the search history information of the user.

As shown in FIG. 2, for example, associated apparatus 100, via the shopping content C11, it has been the search query "Fireworks" entered by the user U1, is received from the user device 10 _1. Then, the associating device 100 accumulates 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 associating device 100 also receives the search query input by a user other than the user U1 via the shopping content included in the electronic market. In this way, the associating device 100 accumulates 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.

Next, the associating device 100 receives a purchase request for a product from the user device 10 via the electronic market. Upon receiving the purchase request, the associating device 100 stores the product ID for identifying the product purchased by the user as the purchase history information of the user.

As shown in FIG. 2, for example, associated apparatus 100, via the shopping content C22, the purchase request items "Yukata Y1", received from the user device 10 _1. In response to the reception of the purchase request, the associating device 100 stores the product ID for identifying 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 associating device 100 also receives the purchase request for the product from the user devices 10 other than the user device 10 ₁ via the shopping content included in the electronic market. In this way, the associating device 100 accumulates the product ID for identifying 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 associating device 100 identifies the search query that co-occurs with the product purchased by the user within a predetermined period based on the search history information of the user and the purchase history information of the user. The predetermined period is, for example, a predetermined period (for example, one week) until the user purchases the product. This predetermined period may be a predetermined period (for example, one week) from the time when the user purchased the product.

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

More specifically, the associating device 100 determines, based on the user's search history information and the user's purchase history information, "the number of users who have entered a predetermined search query and purchased a predetermined product within a predetermined period", "Number of users who entered a given search query within a given period and did not purchase a given product", "Purchased a given product without entering a given search query within a given period of time" The "number of users" and "the number of users who did not input a predetermined search query within a predetermined period and did not purchase a predetermined product" are specified. Then, the associating device 100 determines, based on the number of identified users, that “the ratio of the users who have purchased the predetermined search query among the users who have input the predetermined search query within the predetermined period” is within the predetermined period. It is determined whether or not the ratio is significantly higher than the ratio of users who purchased a predetermined product among users who did not input a predetermined search query (for example, a P value of 0.05 or less). The associating device 100 determines that “a ratio of users who have purchased a predetermined product among users who have input a predetermined search query within a predetermined period” is “of users who have not input a predetermined search query within a predetermined period. When it is determined to be significantly higher than the percentage of users who have purchased a predetermined product, this predetermined search query is a predetermined search that co-occurs with the predetermined product purchased by the user within a predetermined period. Specify as a query.

The search query that co-occurs with the product purchased by the user within the 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. Absent. 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 associating device 100 is a time series in which, based on the user's search history information and the user's purchase history information, a predetermined percentage of users who input a predetermined search query within a predetermined period purchase a predetermined product. A pattern is generated (for example, a support level equal to or higher than a predetermined threshold value (that is, a minimum support level)). When the predetermined ratio satisfies a predetermined threshold value (for example, “60%”), the associating device 100 causes a predetermined search query to co-occur with a predetermined product purchased by the user within a predetermined period. It may be specified as a search query.

For the sake of illustration, in the example of FIG. 2, the associating device 100 sets the search query “fireworks” to the product “Yukata Y1” within a predetermined period based on the search history information of the user and the purchase history information of the user. Suppose you specify as a search query that co-occurs in.

After that, the associating device 100 adds the specified search query or the characteristic of the content selected from the search results of the specified search query to the product purchased by the user as a tag.

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

As illustrated in FIG. 2, the associating device 100 adds, for example, the keyword “fireworks” corresponding to the identified 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, when the search query input by the user co-occurs with the product purchased by the user within a predetermined period, the associating device 100 according to the embodiment determines from the search query or the search result of the search query. The feature of the selected content is added to the product as a tag. 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 the product search using the associating device 100 and the tag. Hereinafter, the associating device 100 that realizes such an associating process will be described in detail.

[3. Configuration of associating device]
Next, a configuration example of the associating device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the associating device 100 according to the embodiment. As shown in FIG. 3, the associating device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The associating device 100 has an input unit (for example, a keyboard or a mouse) that receives various operations from an administrator who uses the associating device 100, and a display unit (a liquid crystal display or the like) for displaying various information. May be.

(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 a network by wire or wirelessly, and transmits/receives information to/from the user device 10 via the network.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device 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 behavior information storage unit 121 and a purchase history information storage unit 122.

(Behavior information storage unit 121)
FIG. 4 is a diagram illustrating 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 the 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, “action information” is stored in the action information storage unit 121 for each “user ID”. As an example, the “action information” includes the item “search history information”. It should be appreciated that the term "behavior" may encompass a user's behavior outside the network. For example, if the user's action is movement, the action information may indicate the user's action outside the network.

“User ID” indicates an identifier for identifying a user. “Search history information” indicates the search history of the user. The “search history information” includes the items “search query” and “content”. “Search query” indicates a search query entered by the user. The “content” indicates the content selected from the search results of the search query input by the user.

For example, FIG. 4 shows that the search query input 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 action information stored in the action information storage unit 121 may be action information indicating the action of the user in a predetermined period. For example, the action information stored in the action information storage unit 121 may be action information indicating the time at which the user took an action.

For example, the "action information" may include the item "time" (not shown). For example, "time" indicates the time when the user took action. Further, for example, the time indicates the time when the search history information is accumulated in the behavior 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 inputs a search query. The “selection time” indicates, for example, the time when the user selects the content from the search results of the search query.

The “action information” may include the item “context information” (not shown). The context information indicates the context of the user. The term "context" means the context of action, the background of action, the relationship between actions, the action situation of action, the situation in which the user is placed, the environment in which the user is placed, the action pattern of the user, interests and interests of the user, etc. Represents.

For example, the "context information" may include the item "schedule" (not shown). The "schedule" indicates, for example, the schedule of the user. For example, the schedule may be a schedule that indicates the time when the user is due to go to the fireworks display. Such context information regarding the schedule is received by the receiving unit 131 via, for example, an application (for example, a schedule management application) installed in the user device 10.

The “action 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.

The "action information" may include the item "browsing history information" (not shown). 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 indicate a feature related to the content browsed by the user. As an example, the content browsed by the user may be a fireworks display page. In this example, the characteristic of the content browsed by the user may be fireworks. The browsing history information may indicate the time when the user browsed the content.

Further, the “action information” may include the item “use history information” (not shown). 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 indicate characteristics 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 used the service.

Further, the "action information" may include the item "viewing history information" (not shown). 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 indicate a feature related to the moving image viewed by the user. As an example, the moving image viewed by the user may be a movie about 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 viewed the moving image.

Further, the “action information” may include the item “sales history information” (not shown). 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 indicate characteristics related to the product sold by the user. As an example, the product sold by the user may be a fireworks set sold in online shopping or a fireworks set put up for auction. In this example, the feature associated with the product sold by the user may be fireworks. The sales history information may indicate the time when the user sold the product.

Further, the “action information” may include the item “movement history information” (not shown). 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. In addition, for example, the movement history information may indicate characteristics related to the movement destination of the user. As an example, the destination of the user may be a venue for a predetermined fireworks display. In this example, the feature associated with the user's destination 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 illustrating 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 purchase history of the user. 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”. As an 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 one item of the behavior information in the behavior information storage unit 121 described above. As described above, the action information stored in the action information storage unit 121 may include the item “purchase history information”.

As described above, the “user ID” indicates an identifier for identifying the user. “Product ID” indicates an identifier for identifying a product purchased by the user. “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 the 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 a program such as a processor (CPU (Central Processing Unit), an MPU (Micro Processing Unit), etc.) stored in a storage device inside the associating device 100. (Corresponding to an example) is implemented by using a RAM or the like as a work area. The control unit 130 is a controller, and may be realized by 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 receiving unit 131, an acquiring unit 132, an associating unit 133, and a providing unit 134, and realizes or executes the functions and actions of information processing described below. .. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it is a configuration for performing information processing described later.

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

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

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

The receiving unit 131 may receive the behavior information from the user of the associating 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 reception unit 131 receives the search query input by the user from the user device 10 via the electronic marketplace. Then, the receiving unit 131 accumulates the received search query as the search history information of the user.

The receiving unit 131 receives 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 marketplace 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 marketplace (for example, shopping content) provided by the providing unit 135. The receiving unit 131 may store the received purchase history information in the behavior information storage unit 121.

The receiving unit 131 may receive the purchase history information from the user of the associating device 100 via the user interface. The receiving unit 131 may store the accepted 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 marketplace. In response to the reception 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, calendar content). The receiving unit 131 may store the received context information in the behavior information storage unit 121.

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

The receiving unit 131 may receive the 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 behavior information storage unit 121.

The receiving unit 131 may receive the 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 behavior information storage unit 121.

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

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

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

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

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

The acquisition unit 132 acquires, for example, the behavior information received by the reception unit 131. The acquisition unit 132 may acquire the behavior information from a predetermined storage device. For example, the acquisition unit 132 may acquire the action information from the action 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 the purchase history information from a predetermined storage device. For example, the acquisition unit 132 may acquire the 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 purchase history information of the user as the first action information.

Further, the acquisition unit 132 may acquire the context information of the user as the first action information. The acquisition unit 132 may also acquire the browsing history information of the user as the first behavior information. In addition, the acquisition unit 132 may acquire the usage history information of the user as the first behavior information. The acquisition unit 132 may also acquire the viewing history information of the user as the first behavior information. The acquisition unit 132 may also acquire the sales history information of the user as the first behavior information. Further, the acquisition unit 132 may acquire the movement history information of the user as the first action information.

(Association unit 133)
The associating unit 133 associates the first action of the user indicated by the first action information obtained by the obtaining unit 132 with the second action of the user indicated by the second action information obtained by the obtaining unit 132. Based on the co-occurrence, the information corresponding to the first behavior of the user and the information corresponding to the transaction target related to the second behavior of the user are associated with each other.

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. The information corresponding to the first action of the user and the information corresponding to the transaction target are associated with each other based on the co-occurrence with the transaction target. In this case, the transaction target related to the second behavior of the user is the transaction target indicated by the purchase history information acquired by the acquisition unit 132.

In addition, for example, the associating unit 133, based on the co-occurrence of the first behavior of the user and the transaction target in the predetermined period indicated by the first behavior information acquired by the acquisition unit 132, in the predetermined period. The information corresponding to the first action of the user and the information corresponding to the transaction target are associated with each other.

Further, for example, the associating unit 133 associates the information indicating the first behavior of the user with the information corresponding to the transaction target by adding the tag related to the first behavior of the user to the transaction target. In this case, the first behavior of the user is related to the tag given to the transaction target. On the other hand, the second behavior of the user is related to the transaction target to which the tag is attached.

For example, the associating unit 133 identifies the search query input by the user based on the search history information obtained by the obtaining unit 132, and uses the identified search query as a tag associated with the first action of the user. , To the transaction target. Further, for example, the associating unit 133 specifies the content searched by the search query input by the user based on the search history information acquired by the acquisition unit 132, and identifies the characteristics related to the specified content as the user. The tag is attached to the transaction target as a tag related to the first action of.

In one example, the associating unit 133 may associate the tag related to the first action of the user with the transaction target and store the tag, so as to give the tag related to the first action of the user to the transaction target. In this case, the predetermined storage device may store the information (identifier for identifying the transaction object) corresponding to the transaction object and the tag associated with the first action of the user in association with each other. In another example, the associating unit 133 may assign the tag related to the first action of the user to the transaction target by assigning the tag related to the first action of the user to the transaction target. In yet another example, the associating unit 133 includes the tag (for example, a metadata tag) related to the first behavior of the user in the content related to the transaction target, thereby the tag related to the first behavior of the user. May be given to the transaction target. That is, the associating unit 133 embeds the tag related to the first action of the user in the component included in the content related to the transaction target, thereby giving the tag related to the first action of the user to the transaction target. Good.

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

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

For example, the associating unit 133 determines, based on the search history information of the user and the purchase history information of the user, “the number of users who have entered a predetermined search query within a predetermined period and have purchased a predetermined product”, “a predetermined period of time”. "The number of users who have entered a prescribed search query and have not purchased a prescribed product", "The number of users who have not entered a prescribed search query within a prescribed period and purchased a prescribed product" , And “the number of users who did not input a predetermined search query within a predetermined period and did not purchase a predetermined product”. Then, the associating unit 133 determines, based on the number of identified users, that “a ratio of users who have purchased a predetermined product among users who have input a predetermined search query within a predetermined period” is “within a predetermined period”. It is determined whether or not the ratio is significantly higher than the ratio of users who purchased a predetermined product among users who did not input a predetermined search query (for example, a P value of 0.05 or less). The associating unit 133 determines that “a ratio of users who have purchased a predetermined product among users who have input a predetermined search query within a predetermined period” is “of users who have not input a predetermined search query within a predetermined period. When it is determined to be significantly higher than the percentage of users who have purchased a predetermined product, this predetermined search query is a predetermined search that co-occurs with the predetermined product purchased by the user within a predetermined period. Specify 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 associating 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 search history information of the user and the purchase history information of the user. A pattern is generated (for example, a support level equal to or higher than a predetermined threshold value (that is, a minimum support level)). When the predetermined ratio satisfies a predetermined threshold (for example, “60%”), the associating unit 133 causes a predetermined search query to co-occur with a predetermined product purchased by the user within a predetermined period. It may be specified as a search query.

Next, the associating unit 133 adds the specified search query or the characteristics of the content selected from the search results of the specified search query to the product purchased by the user as a tag.

For example, the associating unit 133 adds the keyword corresponding to the specified search query as a tag to the product purchased by the user. In addition, for example, the associating unit 133 uses TF-IDF to assign a weight to a keyword 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 associating unit 133 adds the keyword included in the selected content as a tag to the product purchased by the user.

The associating unit 133 identifies the transaction object purchased by the user based on the purchase history information acquired by the acquisition unit 132, and uses the identified transaction object as a tag related to the first action of the user. May be given to the transaction target related to the second action of. Further, the associating unit 133 specifies 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 characteristics related to the specified content. May be attached to the transaction target related to the second behavior of the user as a tag related to the first behavior of the user. 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 that is the purchase history information of the user.

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

In another example, as in the case of the above-described example, the associating unit 133, based on the context information of the user and the purchase history information of the user, the product purchased by the user (for example, a yukata) and within a predetermined period. The co-occurring context (eg, fireworks display schedule) may be specified. Then, as in the case of the above-described example, the associating unit 133 may add a feature (for example, fireworks) related to the identified context as a tag to the product purchased by the user.

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

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

In still another example, as in the case of the above-described example, the associating unit 133 determines, based on the user's viewing history information and the user's purchase history information, a product (for example, a yukata) purchased by the user and a predetermined item. A moving image that co-occurs within the period (for example, a movie about fireworks) may be specified. Then, as in the case of the above-described example, the associating unit 133 may add the feature (for example, fireworks) associated with the identified moving image as a tag to the product purchased by the user.

In still another example, as in the case of the above-described example, the association unit 133 determines a product (for example, a yukata) purchased by the user and a predetermined item based on the sales history information of the user and the purchase history information of the user. A product that co-occurs within the period (for example, a firework set sold in online shopping or a firework set exhibited in an auction) may be specified. Then, the associating unit 133 may add the feature (for example, fireworks) related to the identified product as a tag to the product purchased by the user, as in the case of the above-described example.

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

(Providing section 135)
The providing unit 135 provides the user device 10 with an electronic market (for example, content related to the electronic market). For example, the providing unit 135 transmits the content regarding the electronic market to the user device 10 when the transmission request for the content regarding the electronic market is received by the receiving unit 131.

For example, the providing unit 135 provides an electronic market where the user of the user device 10 can purchase or sell a transaction target (for example, goods or services). For example, the providing unit 135 provides the user device 10 with a service related to the online shopping service such as an online shopping service. For example, the providing unit 135 provides the user device 10 with shopping content.

It should be noted that the transaction target in the electronic market described above may be a product or a service (for example, reservation of a restaurant or hotel, travel). When the transaction target is a product, the providing unit 135 may provide an electronic market where 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 device 10 can use or provide the service. For example, the provider 135 may provide an electronic marketplace where users can book restaurants. Note that, 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. Flow of association processing]
Next, the procedure of the association process performed by the association device 100 according to the embodiment will be described. FIG. 6 is a flowchart showing an associating process procedure by the associating device 100 according to the embodiment.

As shown in FIG. 6, first, the associating device 100 sets 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. It is acquired (step S101).

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

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

Further, for example, the associating device 100 acquires the search history information of the user as the first action information.

Then, the associating device 100 is based on the co-occurrence of the first action of the user indicated by the obtained first action information and the second action of the user indicated by the obtained 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 associating device 100 has the co-occurrence of the behavior of the first user indicated by the acquired first behavior information and the transaction object indicated by the acquired purchase history information (that is, the second behavior information). Based on, the information corresponding to the first action of the user and the information corresponding to the transaction target are associated with each other. In this case, the transaction object related to the second behavior of the user is the transaction object indicated by the acquired purchase history information.

Further, for example, the associating device 100 determines whether the first behavior of the user during the predetermined period is based on the co-occurrence of the first behavior of the user during the predetermined period indicated by the acquired first behavior information and the transaction target. The information corresponding to the behavior of and the information corresponding to the transaction target are associated with each other.

Further, for example, the associating device 100 associates the information indicating the first behavior of the user with the information corresponding to the transaction target by adding the tag related to the first behavior of the user to the transaction target.

For example, the associating device 100 identifies the search query input by the user based on the obtained search history information, and identifies the identified search query as a transaction target as a tag related to the first behavior of the user. Give. Further, for example, the associating device 100 specifies the content searched by the search query input by the user based on the acquired search history information, and identifies the characteristics related to the specified content as the first of the user. It is attached to the transaction target as a tag related to actions.

[5. Modification example)
The associating device 100 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, other embodiments of the associating device 100 will be described below.

[5-1. Association based on a predetermined 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 associating unit 133 determines the transaction target based on the co-occurrence of the first action of the user and the transaction target in a predetermined period corresponding to the transaction target indicated by the first behavior 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 associating unit 133 may change the predetermined period selected for determining the co-occurrence of the first action of the user and the transaction target according to the transaction target.

In one example, when the transaction target is the product “Yukata Y1”, the acquisition unit 132 acquires the action information indicating the user's action in the predetermined period “1 week” corresponding to the product “Yukata Y1”. Good. In this example, the associating unit 133, based on the co-occurrence of the user's action in the predetermined period “1 week” and the product “Yukata Y1”, information corresponding to the user's action in the predetermined period “1 week”. And 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, reservation of the hotel H1)”, the acquisition unit 132 causes the user of the user in a predetermined period “3 weeks” corresponding to the service “Hotel H1”. You may acquire the action information which shows action. In this example, the associating unit 133, based on the co-occurrence of the behavior of the user in the predetermined period “3 weeks” and the service “Hotel H1”, information corresponding to the behavior of the user in the predetermined period “3 weeks”. And information corresponding to the service “Hotel H1” may be associated.

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

For example, the associating unit 133, based on the co-occurrence of the behavior of the user indicated by the action information obtained by the obtaining unit 132 and the transaction target indicated by the purchase history information obtained by the obtaining unit 132, the obtaining unit 132. You may specify the predetermined period when the co-occurrence of the user's action and the transaction target in the predetermined period indicated by the action information acquired by is optimized. More specifically, the associating unit 133 optimizes the co-occurrence of the user's action and the transaction target in the predetermined period indicated by the action information acquired by the acquisition unit 132 by moving the predetermined period. The predetermined period may be specified. Then, the associating unit 133 may determine the specified predetermined period as the predetermined period corresponding to the transaction target. The associating unit 133 may determine the specified predetermined period as the predetermined period corresponding to the category to which the transaction target belongs.

For example, the associating unit 133 identifies a significant relationship between a predetermined product purchased by the user and a search query for each one of a plurality of periods (for example, one week, two weeks, and three weeks). You may. For example, the associating unit 133 may specify the relationship in which the P value is 0.05 or less for each one of the plurality of periods. Then, the associating unit 133 selects one of the plurality of periods based on the P value calculated for each one of the plurality of periods and the relationship between 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 associating unit 133 may determine the period “1 week” as the predetermined period corresponding to the product “Yukata Y1” based on the calculated P value. In this example, the associating unit 133 may determine the period “1 week” as the predetermined period corresponding to the category “fashion” to which the product “yukata” belongs, based on the calculated P value.

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

The associating unit 133 may perform time-series pattern mining using the behavior information acquired by the acquiring unit 132 and the purchase history information acquired by the acquiring unit 132. Then, the associating unit 133 may generate a time-series pattern in which a predetermined percentage of users who have performed a predetermined action within a predetermined period purchase a predetermined transaction target. When the predetermined ratio satisfies a predetermined threshold value (for example, “60%”), the associating unit 133 sets the predetermined time period included in the generated time series pattern to the predetermined time period included in the generated time series pattern. May be determined as a predetermined period corresponding to the transaction target.

[5-2. Association based on transaction target included in search result]
The associating 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. The information corresponding to the transaction object indicated by the purchase history information acquired by may be associated.

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

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

As an example, the transaction target searched by the user is entered in a search box for content 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 for 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 for 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 associating unit 133 performs the transaction indicated by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the search history information obtained by the obtaining unit 132 (that is, the second action information). The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with the target. In this case, the transaction target related to the second behavior of the user is the transaction target searched by the user.

In an example, the association unit 133 may specify the search query that co-occurs with the product searched by the user within a predetermined period, based on the search history information of the user, as in the case of the above-described example. For example, the associating unit 133 may specify a search query that is significantly related to a product searched by the user within a predetermined period as a search query that co-occurs with the product searched by the user within the predetermined period. Then, as in the case of the above-described example, the associating unit 133 attaches the characteristic of the content selected from the specified search query or the search result of the specified search query as a tag to the product searched by the user. Good. For example, the associating unit 133 may add the keyword corresponding to the specified search query as a tag to the product searched by the user. Further, for example, the associating unit 133 may assign a weight to the keyword included in the content selected from the search results of the specified search query, using the TF-IDF. When the assigned weight is larger than the predetermined threshold, the associating unit 133 may add the keyword included in the selected content as a tag to the product searched by the user.

The acquisition unit 132 may acquire context information indicating a transaction target related to the context of the user as the second behavior information. As an example, the transaction target related to the context of the user may be a keyword related to a product or 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 associating unit 133 is the transaction target indicated by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the context information obtained by the obtaining unit 132 (that is, the second action information). The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with. In this case, the trading object related to the user's second behavior is the trading object related to the user's context.

Further, the acquisition unit 132 may acquire, as the second behavior information, browsing history information indicating a transaction target browsed by the user. 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 “yukata”, the transaction target browsed by the user may be “yukata”.

The associating unit 133 performs the transaction indicated by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the browsing history information obtained by the obtaining unit 132 (that is, the second action information). The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with the target. In this case, the transaction target related to the second behavior of the user is the transaction target browsed by the user.

In addition, the acquisition unit 132 may acquire, as the second behavior information, usage history information indicating a transaction target used by the user. 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 a service related to “rental of a yukata”, the transaction target used by the user may be “yukata”.

The associating unit 133 performs the transaction indicated by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the use history information obtained by the obtaining unit 132 (that is, the second action information). The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with the target. In this case, the transaction target related to the second behavior of the user is the transaction target used by the user.

In addition, the acquisition unit 132 may acquire, as the second behavior information, browsing history information indicating a transaction target viewed by the user. 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 “yukata”.

The associating unit 133 performs the transaction indicated by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the viewing history information (that is, second action information) obtained by the obtaining unit 132. The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with the target. In this case, the transaction target related to the second behavior of the user is the transaction target viewed by the user.

The acquisition unit 132 may also acquire, as the second behavior information, sales history information indicating a transaction target sold by the user. As an example, the transaction target sold by the user may be a product sold by the user through online shopping (for example, “yukata”). As another example, the transaction target sold by the user may be a product (for example, "yukata") put up for auction by the user.

The associating unit 133 has the first behavior of the user indicated by the first behavior information acquired by the acquisition unit 132 and the transaction indicated by the sales history information (that is, the second behavior information) acquired by the acquisition unit 132. The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with the target. In this case, the transaction target related to the second behavior of the user is the transaction target sold by the user.

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

The associating unit 133 performs the transaction indicated by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the movement history information (that is, the second action information) obtained by the obtaining unit 132. The information corresponding to the first action of the user and the information corresponding to the transaction target may be associated with each other based on the co-occurrence with the target. In this case, the transaction target related to the second behavior of the user is the transaction target related to the destination of the user.

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

For example, the acquisition unit 132 may acquire a 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 a combination of the purchase history information and the search history information as a combination of the first behavior information and the second behavior information. Further, for example, the acquisition unit 132 may acquire a 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 a 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. Other]
Further, among the respective processes described in the above embodiment, a part of the processes described as being automatically performed can be manually performed. Alternatively, all or part of the processing described as being manually performed can be automatically performed by a known method. In addition, the processing procedures, specific names, information including various data and parameters shown in the above-mentioned documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Further, each constituent element of each device illustrated is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of distribution/integration of each device is not limited to that shown in the figure, and all or part of the device may be functionally or physically distributed/arranged in arbitrary units according to various loads and usage conditions. It can be integrated and configured.

For example, a part or all of the storage unit 120 illustrated in FIG. 3 may be held in the storage server or the like instead of being held by the associating device 100. In this case, the associating device 100 acquires various information such as behavior information and purchase history information by accessing the storage server.

[5-6. Hardware configuration]
Further, the associating device 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration shown in FIG. 7. FIG. 7 is a diagram illustrating an example of the hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected by a bus 1090. Have.

The arithmetic device 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 device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic 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 types of information such as a monitor and a printer. For example, a USB (Universal Serial Bus) or a DVI (Digital Visual Interface), It is realized by a connector of a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). The input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, and a scanner, 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), and a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), and a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. 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 the data to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 via the network N to another device.

The arithmetic device 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 device 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 device 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 associating device 100 according to the embodiment has the acquisition unit 132 and the associating unit 133. The acquisition unit 132 acquires first behavior information indicating the first behavior of the user on the network and second behavior information indicating the second behavior of the user on the network. The associating unit 133 associates the first action of the user indicated by the first action information obtained by the obtaining unit 132 with the second action of the user indicated by the second action information obtained by the obtaining unit 132. Based on the co-occurrence, the information corresponding to the first behavior of the user and the information corresponding to the transaction target related to the second behavior of the user are associated with each other.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires, as the second behavior information, purchase history information indicating a transaction target purchased by the user. Further, in the associating device 100 according to the embodiment, the associating unit 133 is represented by the first behavior of the user indicated by the first behavior information acquired by the acquiring unit 132 and the purchase history information acquired by the acquiring unit 132. The information corresponding to the first action of the user and the information corresponding to the transaction target are associated with each other based on the co-occurrence with the transaction target.

Further, in the associating 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 behavior information. In the associating device 100 according to the embodiment, the associating unit 133 is represented by the first action of the user indicated by the first action information obtained by the obtaining unit 132 and the search history information obtained by the obtaining unit 132. The information corresponding to the first action of the user and the information corresponding to the transaction target are associated with each other based on the co-occurrence with the transaction target.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires the first action information indicating the first action of the user in the predetermined period. Further, in the associating device 100 according to the embodiment, the associating unit 133 determines the co-occurrence of the first behavior of the user and the transaction target in the predetermined period indicated by the first behavior information acquired by the acquiring unit 132. Based on the information, the information corresponding to the first action of the user in the predetermined period and the information corresponding to the transaction target are associated with each other.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires the behavior information indicating the first behavior of the user in the predetermined period corresponding to the transaction target. Further, in the associating device 100 according to the embodiment, the associating unit 133 identifies the first action and the transaction target of the user in the 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 predetermined period corresponding to the transaction target and the information corresponding to the transaction target are associated with each other based on the co-occurrence of.

Further, in the associating device 100 according to the embodiment, the associating unit 133 attaches the tag related to the first behavior of the user to the transaction target, and thereby, corresponds to the information indicating the first behavior of the user and the transaction target. Correlate with the information you want.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires the search history information of the user 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 acquiring unit 132, and specifies the identified search query as the user's It is given to the transaction target as a tag related to the first action.

Further, in the associating device 100 according to the embodiment, the associating unit 133 identifies the content searched by the search query input by the user based on the search history information obtained by the obtaining unit 132, and the identified content The feature related to is added to the transaction target as a tag related to the first action of the user.

Further, in the associating device 100 according to the embodiment, the acquisition unit 132 acquires the purchase history information of the user as the first behavior 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 acquiring unit 132, and identifies the identified transaction target as the user's transaction target. It is given to the transaction target as a tag related to the first action.

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 object purchased by the user based on the purchase history information acquired by the acquiring unit 132. , A feature related to the identified content is added to the transaction target as a tag related to the first action of the user.

Through the processes described above, the associating device 100 can add appropriate information to the transaction target.

As described above, some of the embodiments of the present application have been described in detail based on the drawings, but these are examples, and various modifications based on the knowledge of those skilled in the art, including the modes described in the section of the disclosure of the invention, It is possible to implement the present invention in other forms with improvements.

Further, the above-described associating device 100 may be realized by a plurality of server computers, and depending on the function, it may be realized by calling an external platform or the like by an API (Application Programming Interface) or network computing. Can be changed flexibly.

Further, the "section (module, unit)" described above can be read as "means" or "circuit". For example, the receiving unit can be read as a receiving unit 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 Receiving Unit 132 Acquisition Unit 133 Association Unit 134 Providing Unit

Claims (12)

An acquisition unit that acquires first action information indicating the first action of the user on the network and second action information indicating the second action of the user on the network;
Co-occurrence of the first action of the user indicated by the first action information obtained by the obtaining unit and the second action of the user indicated by the second action information obtained by the obtaining unit An associating unit that associates information corresponding to the first behavior of the user with information corresponding to a transaction target related to the second behavior of the user,
An associating device comprising: The acquisition unit is
The purchase history information indicating the transaction target purchased by the user is acquired as the second behavior information,
The associating unit is
Based on the co-occurrence of the first behavior of the user indicated by the first behavior information acquired by the acquisition unit and the transaction target indicated by the purchase history information acquired by the acquisition unit, The association device according to claim 1, wherein the information corresponding to the first action and the information corresponding to the transaction target are associated with each other. The acquisition unit is
The search history information indicating the transaction target searched by the user is acquired as the second behavior information,
The associating unit is
Based on the co-occurrence of the first behavior of the user indicated by the first behavior information acquired by the acquisition unit and the transaction target indicated by the search history information acquired by the acquisition unit, The association device according to claim 1 or 2, wherein information corresponding to the first action is associated with information corresponding to the transaction target. The acquisition unit is
Acquiring the first action information indicating the first action of the user in a predetermined period,
The associating unit is
Based on the co-occurrence of the first action of the user and the transaction target in the predetermined period indicated by the first action information acquired by the acquisition unit, the first action of the user in the predetermined period is performed. The association device according to any one of claims 1 to 3, wherein information corresponding to an action is associated with information corresponding to the transaction target. The acquisition unit is
Acquiring the first action information indicating the first action of the user in the predetermined period corresponding to the transaction target,
The associating unit is based on the co-occurrence of the first action of the user and the transaction target in the predetermined period corresponding to the transaction target indicated by the first action information acquired by the acquisition unit. The association apparatus according to claim 4, wherein information corresponding to the first action of the user in the predetermined period corresponding to the transaction object and information corresponding to the transaction object are associated with each other. The associating unit is
The information indicating the first action of the user and the information corresponding to the transaction target are associated with each other by adding a tag related to the first action of the user to the transaction target. The associating device according to any one of 1 to 5. The acquisition unit is
The search history information of the user is acquired as the first behavior information,
The associating unit is
Based on the search history information acquired by the acquisition unit, the search query input by the user is specified, and the specified search query is used as the transaction target as a tag related to the first action of the user. The association device according to claim 6, wherein the association device is provided. The associating unit is
The content searched by the search query input by the user is specified based on the search history information acquired by the acquisition unit, and the characteristic related to the specified content is related to the first action of the user. The association device according to claim 6 or 7, wherein the tag is attached to the transaction target. The acquisition unit is
The purchase history information of the user is acquired as the first behavior information,
The associating unit is
Based on the purchase history information acquired by the acquisition unit, the transaction object purchased by the user is identified, and the identified transaction object is set as the transaction object as a tag related to the first action of the user. The association apparatus according to claim 6, wherein the association apparatus is provided. The associating unit 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 characteristic related to the specified content is specified by the user's first It attaches to the said transaction object as a tag relevant to the action of 1. The associating device according to any one of claims 6 to 9. A method of association performed by a computer,
An acquisition step of acquiring first action information indicating the first action of the user on the network and second action information indicating the second action of the user on the network;
Co-occurrence of the first behavior of the user indicated by the first behavior information acquired by the acquisition step and the second behavior of the user indicated by the second behavior information acquired by the acquisition step An associating step of associating 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,
A method for associating, comprising: An acquisition procedure for acquiring first action information indicating the first action of the user on the network and second action information indicating the second action of the user on the network;
Co-occurrence of the first behavior of the user indicated by the first behavior information acquired by the acquisition procedure and the second behavior of the user indicated by the second behavior information acquired by the acquisition procedure An association procedure for associating the information corresponding to the first action of the user with the information corresponding to the transaction target associated with the second action of the user based on
An association program characterized by causing a computer to execute.

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