JP2018045322A - Change device, change method and change program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately change context of purchase by a user.SOLUTION: A change device comprises an acquisition unit and a change unit. The acquisition unit acquires: first context estimated based on user's first action information about purchase in electric commerce; and user's second action information about the purchase at a point of time after a point of time corresponding to the first action information. The change unit, on the basis of the second action information and the first context acquired by the acquisition unit, changes the first context acquired by the acquisition unit to the second context in which user's intention on purchasing is more narrowed than the first context.SELECTED DRAWING: Figure 2

Description

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

  2. Description of the Related Art Conventionally, a technique for estimating a user situation (hereinafter also referred to as “context”) at a predetermined point in time has been provided. For example, techniques are provided for analyzing previous searches performed by other users to determine one or more recommended searches for the current user.

JP 2013-037404 A

  However, in the above-described conventional technology, the context related to the user's purchase cannot be appropriately changed. For example, it may be difficult to appropriately change a user's purchasing context simply by analyzing previous searches performed by other users.

  The present application has been made in view of the above, and an object thereof is to provide a change device, a change method, and a change program that appropriately change a context related to user purchase.

  The change device according to the present application includes a first context estimated based on a user's first action information related to purchase in electronic commerce, and a user's second action related to the purchase after a time corresponding to the first action information. Based on the acquisition unit that acquires information, the second behavior information acquired by the acquisition unit, and the first context, the first context acquired by the acquisition unit is more purchased than the first context. And a changing unit that changes to the second context in which the user's intention is narrowed down.

  According to one aspect of the embodiment, there is an effect that the context related to the purchase of the user can be appropriately changed.

FIG. 1 is a diagram illustrating an example of a change process according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the search device according to the embodiment. FIG. 3 is a diagram illustrating an example of a user information storage unit 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 the index information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a product information storage unit according to the embodiment. FIG. 7 is a flowchart illustrating an example of query estimation according to the embodiment. FIG. 8 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the search device.

  Hereinafter, a mode for carrying out a change device, a change method, and a change program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the change device, the change method, and the change program according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

(Embodiment)
[1. Change processing)
An example of change processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a change process according to the embodiment. In FIG. 1, the search device 100 estimates a user's context based on the user's behavior information related to purchase in electronic commerce. Further, the search device 100 provides information related to a purchase target to an external information processing device based on the estimated user context.

  As shown in FIG. 1, the change system 1 includes a terminal device 10, an advertisement distribution device 50, and a search device 100. The terminal device 10, the advertisement distribution device 50, and the search device 100 are connected to be communicable by wire or wireless via a predetermined communication network (not shown). The change system 1 illustrated in FIG. 1 may include a plurality of terminal devices 10, a plurality of advertisement distribution devices 50, and a plurality of search devices 100.

  The terminal device 10 is an information processing device used by a user. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. In the example shown in FIG. 1, the case where the terminal device 10 is a smartphone used by the user is shown. Hereinafter, the terminal device 10 may be referred to as a user. That is, hereinafter, the user can be read as the terminal device 10. Specifically, FIG. 1 illustrates a case where the terminal device 10 is a smartphone used by a user identified by the user ID “U1” (hereinafter, may be referred to as “user U1”).

  In the example illustrated in FIG. 1, the terminal device 10 will be described as terminal devices 10-1 to 10-3 in accordance with the display of the screen of the terminal device 10. The terminal devices 10-1 to 10-3 are the same terminal device 10. Hereinafter, the terminal devices 10-1 to 10-3 are referred to as the terminal device 10 when they are not particularly distinguished.

  The search device 100 changes the first context estimated based on the first behavior information to the second context based on the second behavior information and the first context after the time corresponding to the first behavior information. It is a change device. In addition, description of 1st action information, 2nd action information, etc. does not respond | correspond to specific action information, and 2nd action information is after the time when the action corresponding to 1st action information was performed. The action information corresponding to the action performed at the time of is shown. For example, the description of the second behavior information indicates arbitrary behavior information corresponding to the behavior performed at a time later than the time when the behavior corresponding to the first behavior information is performed. It does not indicate. Further, for example, each piece of behavior information may be first behavior information in relation to certain behavior information, or may be second behavior information in relation to other behavior information. Similarly, the descriptions of the first context and the second context are not associated with a specific context, and the second context is estimated at a time later than the time when the first context is estimated. Indicates the context. For example, the description of the second context indicates an arbitrary context corresponding to the context estimated at a later time than the time when the context corresponding to the first context is estimated, and does not indicate a specific context. Absent. Also, for example, each context may be a first context in relation to a certain context, or a second context in relation to another context. Hereinafter, the second context is described as “current context” in the sense that the second context is a context that is to be estimated by the search device 100 at that time. Hereinafter, the first context is referred to as “immediate context” in the sense that the search apparatus 100 is a context estimated immediately before the second context is estimated. For example, the “immediate context” here is a context estimated by the previous estimation process of the “current context” estimation process.

  In addition, the search device 100 provides a search service that provides the terminal device 10 with a search result for the query acquired from the terminal device 10. In the example of FIG. 1, the search device 100 provides the terminal device 10 with a search result related to a product or service (hereinafter simply referred to as “product”) traded in a predetermined electronic commerce. In the example of FIG. 1, it is assumed that the search device 100 provides a predetermined electronic commerce service. Note that when the external information processing apparatus provides a predetermined electronic commerce service, the search apparatus 100 may not provide the search service. In this case, the search device 100 acquires user behavior information from an external information processing device or the like that provides the search service, and performs only the estimation of the context based on the acquired behavior information and the provision of the service based on the estimated context. May be.

  Further, in the example of FIG. 1, the search device 100 provides information specifying the user to the advertisement distribution device 50 when the user context satisfies a predetermined condition. Specifically, in the example of FIG. 1, when the user's context is the context CN 12, the search device 100 provides information specifying the user to the advertisement distribution device 50.

  In the example of FIG. 1, the search device 100 estimates a user context in a predetermined period (hereinafter referred to as “session”), and provides a service based on the estimated context. For example, a session means a period during which a user performs an action with a predetermined purpose (intention). In the example of FIG. 1, a case where the period from date and time dt10 to dt20 is set as one session is shown. Note that “* (* is an arbitrary numerical value)” following “dt” in each date and time “dt *” shown in the example of FIG. 1 indicates the date and time when the corresponding action or the like was performed, and the date and time “dt *”. The date becomes newer as the value of “*” is larger. For example, the date “dt12” indicates that the date is newer because the numerical value following “dt” is larger than the date “dt11”. That is, in the example illustrated in FIG. 1, the action performed by the user U1 at the date “dt12” is performed after the action performed by the user U1 at the date “dt11”.

  For example, the search device 100 may initialize the session when there is no user action for a predetermined period from the last user action performed during the session. For example, the search device 100 may initialize the session when there is no user action for 30 minutes from the last user action performed during the continuation of the session. Note that “initialization” here means, for example, that a session that has been continued is terminated and a new session is started. Thus, the search device 100 may continue the session while the user's action continues. Further, for example, the search device 100 may initialize a session at a timing that is estimated to have changed the user's intention. For example, if the search device 100 searches for a “wallet” and purchases it and then starts searching for a product with a completely different category such as “drinking water”, the search device 100 estimates that the user ’s intention has changed and starts the session May be used. Further, for example, the search device 100 may initialize the session by estimating that the user's intention has changed based on various types of information, not limited to the user's search behavior. For example, when the user who has performed the search starts browsing the moving image content, the search device 100 may estimate that the user's intention has changed and initialize the session. As described above, the search device 100 estimates the context between sessions in which the user's intention is estimated to be continued based on various information.

  Hereinafter, the search device 100 will be described as the search devices 100-1 to 100-3 in accordance with the change of the context of the user U1. That is, FIG. 1 shows that time has elapsed in the order of the search devices 100-1, 100-2, and 100-3. The search devices 100-1 to 100-3 are the same search device 100. Hereinafter, the search devices 100-1 to 100-3 will be referred to as the search device 100 when they are described without particular distinction. In the following, the user information storage unit 121 will be described as user information storage units 121-1 to 121-3 according to a change in the context of the user U <b> 1. That is, FIG. 1 shows that time has passed in the order of the user information storage units 121-1, 121-2, and 121-3. Further, the user information storage units 121-1 to 121-3 are the same user information storage unit 121. In the following description, the user information storage units 121-1 to 121-3 are referred to as the user information storage unit 121 when they are not particularly distinguished.

  Note that the context here means the situation of the user or the terminal device 10 and the environment (background) of the user or the terminal device 10. For example, the context is information corresponding to a situation where the terminal device 10 is used by a user or a state where a user who owns the terminal device 10 is placed. In addition, the context includes the content provided to the user, the content of the content that the user has reacted to, the user attribute, the current location of the user, the current time, the physical environment in which the user is placed, and the social environment in which the user is placed It may be estimated based on various information such as the user's exercise state and the user's emotion. In the following, contexts are indicated by abstract symbols such as context CN11 and context CN12, but each context may be information indicating a specific situation of the user. For example, the context CN11 may be a context corresponding to a situation where “the user is searching for a purse for purchase”. Further, the context “-” of the user U1 shown in the user information storage unit 121-1 in FIG. 1 indicates a state where the context of the user U1 is not estimated. For example, the context “-” of the user U1 shown in the user information storage unit 121-1 in FIG. 1 indicates an initialized state.

  First, the search device 100-1 acquires a query from the terminal device 10-1 used by the user U1 at the date and time dt11 (step S11). In the example of FIG. 1, the search device 100-1 acquires the query “wallet” from the terminal device 10-1. In the example illustrated in FIG. 1, the user U1 inputs the query “wallet” into the search window in the page W11 of the mail order site A related to the electronic commerce service provided by the search device 100 displayed on the screen of the terminal device 10-1. Press the search button. Then, the terminal device 10-1 transmits the query “wallet” to the search device 100-1.

  The search device 100-1 that has acquired the query from the terminal device 10-1 provides the product information corresponding to the query to the terminal device 10-1 as a search result (step S12). In the example of FIG. 1, the search device 100-1 retrieves the product information corresponding to the query from the product information storage unit 124 (see FIG. 6) based on the information stored in the index information storage unit 123 (see FIG. 5). get. In the example of FIG. 1, the search device 100-1 acquires product information related to the product GD1 and the like corresponding to the query “wallet” from the product information storage unit 124. As described above, when “product GD * (* is an arbitrary numerical value)” is described, it indicates that the product is a product identified by the product ID “GD *”. For example, when “product GD1” is described, the product is a product identified by the product ID “GD1”. In the example of FIG. 1, the search device 100-1 provides the terminal device 10 with product information related to the product GD1 corresponding to the query “wallet” acquired from the product information storage unit 124 as a search result.

  The terminal device 10 provided with the search result including the product information related to the product GD1 from the search device 100-1 displays the search result (step S13). For example, a list of product information regarding the product GD1 is displayed on the terminal device 10, but the illustration is omitted in the example of FIG.

  In addition, the search device 100-1 estimates the context of the user U1 (step S14). In the example of FIG. 1, since the search device 100-1 has input the query “wallet”, the context of the user U1 is estimated as the context CN11 corresponding to the situation where the wallet is being searched.

  The search device 100 that estimated the context of the user U1 as the context CN11 changes the information based on the estimated context (step S15). In the example of FIG. 1, the search device 100-2 changes the context of the user U1 stored in the user information storage unit 121 to the context CN11 as illustrated in the user information storage unit 121-2. Since the context of the user U1 is the context CN11 and not the context CN12, the search device 100-2 does not provide the advertisement distribution device 50 with information that identifies the user U1.

  Thereafter, the search device 100-2 acquires a query from the terminal device 10-2 used by the user U1 at the date dt12 (step S16). In the example of FIG. 1, the search device 100-2 acquires two queries “query wallet” and “gift” from the terminal device 10-2. In the example shown in FIG. 1, the user U1 inputs the query “wallet gift” in the search window in the page W11 of the mail order site A related to the electronic commerce service provided by the search device 100 displayed on the screen of the terminal device 10-2. And press the search button. Then, the terminal device 10-2 transmits a query “wallet gift” to the search device 100-2.

  The search device 100-2 that has acquired the query from the terminal device 10-2 provides the product information corresponding to the query to the terminal device 10-2 as a search result (step S17). In the example of FIG. 1, the search device 100-2 acquires product information corresponding to the query from the product information storage unit 124 based on the information stored in the index information storage unit 123. In the example of FIG. 1, the search device 100-2 acquires product information related to the product GD 314 and the like corresponding to both the query “wallet” and the query “gift” from the product information storage unit 124. In the example of FIG. 1, the search device 100-2 uses the product information regarding the product GD314 and the like corresponding to both the query “wallet” and the query “gift” acquired from the product information storage unit 124 as a search result. To provide.

  The terminal device 10 provided with the search result including the product information related to the product GD314 from the search device 100-2 displays the search result (step S18). For example, the terminal device 10 displays a list of product information and the like related to the product GD314, but is not shown in the example of FIG.

  In addition, the search device 100-2 estimates the context of the user U1 (step S19). In the example of FIG. 1, the search device 100-2 estimates the context of the user U1 as the context CN12. For example, since both the query “wallet” and the query “gift” are input, the search device 100-2 estimates the context of the user U1 as the context CN12 corresponding to the situation where the wallet is being searched for as a gift.

  The search device 100 that estimated the context of the user U1 as the context CN12 changes information based on the estimated context (step S20). In the example of FIG. 1, the search device 100-3 changes the context of the user U1 stored in the user information storage unit 121 to the context CN12 as shown in the user information storage unit 121-3. In this way, the search device 100 changes the context CN11 corresponding to the situation where the user is searching for the wallet to the context CN12 corresponding to the situation where the user's intention is further narrowed down as a gift. That is, the search device 100 searches for the immediately preceding context (context CN11) estimated based on the first action information that is a search by the query “wallet” by using the query “wallet” and the query “gift”. The current context (context CN12) estimated based on the behavior information and the immediately preceding context is changed.

  Here, in search device 100-3, since the context of user U1 is context CN12, search device 100-3 provides information specifying user U1 to advertisement distribution device 50 (step S21). Further, the search device 100-3 provides the advertisement distribution device 50 with information that specifies that the user U1 is looking for a wallet as a gift.

  Thereafter, an advertisement request is transmitted from the terminal device 10-3 to the advertisement distribution device 50 at the date and time dt13 (step S22). The advertisement distribution device 50 that has acquired the advertisement request from the terminal device 10 distributes the advertisement X to the terminal device 10-3 based on information specifying that the user U1 acquired from the search device 100 is looking for a wallet as a gift. (Step S23). For example, the advertisement distribution device 50 distributes the advertisement X related to the wallet X that is popular as a gift to the terminal device 10-3.

  The terminal device 10 that has received the advertisement X from the advertisement distribution device 50 displays the advertisement X (step S24). For example, the terminal device 10 displays the page W12 including the advertisement X. Thereby, an advertisement suitable for the context of the user U1 is displayed on the terminal device 10. Note that the search device 100 may provide information that prompts the terminal device 10 to purchase a predetermined wallet. For example, the search device 100 may provide the advertisement X to the terminal device 10. For example, the search device 100 may provide the advertisement X to the terminal device 10 without providing information specifying the user U1 to the advertisement distribution device 50 in step S21. That is, the search device 100 may have the function of the advertisement distribution device 50, and the search device 100 may distribute the advertisement. In this case, the change system 1 may not include the advertisement distribution device 50.

  As described above, the search device 100 searches the previous context (context CN11) estimated based on the first behavior information that is a search by the query “wallet” by the search by the query “wallet” and the query “gift”. By changing to the current context estimated based on certain second behavior information and the immediately preceding context, it is possible to appropriately change the context related to the user's purchase. Moreover, the terminal device 10 can display an advertisement suitable for the user's context. In the above example, for the sake of simplicity, the case where the user's action is a search is shown. However, the user's action is any action that can be an estimation target of the user's intention. There may be. For example, the search device 100 may acquire various types of information such as browsing of the user's content as user behavior information, and estimate the user's context based on the information.

  For example, when the user U1 performs a search using the query “5000 yen gift”, the search device 100 estimates that the context of the user U1 is a context corresponding to searching for a 5000 yen product as a gift. May be. Further, for example, when the behavior information in which the user U1 continuously browses the content on which the product of about 5000 yen is posted is obtained, the search device 100 searches the user U1 for the product of 5000 yen. It may be estimated that the context corresponds to being present. In this case, the search device 100 may provide the terminal device 10 and the advertisement distribution device 50 with information related to a product of 5000 yen. For example, the search device 100 may provide the terminal device 10 with an advertisement related to a product of 5000 yen, or cause the advertisement distribution device 50 to distribute an advertisement about a product of 5000 yen to the terminal device 10. The search device 100 is not limited to the example described above, and any context may be the estimation target. For example, the search device 100 may acquire an input query as user behavior information. In this case, the search device 100 may acquire a history (search log) of a query used by the user for search as behavior information, and estimate the intention of the user using the query as a context based on the acquired search log. . In this case, even if the intention of the last query (tail query) used by the user in the search cannot be directly estimated due to a small number of tail query logs, the search device 100 sequentially sets the context (query intention). By narrowing down, the intention of the tail query can be estimated appropriately. Further, the search device 100 can follow a change in context (query intent) within the session based on the information of the entire session about the intention of the tail query, and can appropriately estimate the intention of the tail query. it can.

[2. (Configuration of change device)
Next, the configuration of the search device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the search device according to the embodiment. As illustrated in FIG. 2, the search device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The search device 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the search device 100 and a display unit (for example, a liquid crystal display) for displaying various types of information. May be.

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

(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, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 2, the storage unit 120 according to the embodiment includes a user information storage unit 121, a behavior information storage unit 122, an index information storage unit 123, and a product information storage unit 124.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various types of information regarding user attributes. For example, the user information storage unit 121 stores user attribute information. FIG. 3 is a diagram illustrating an example of a user information storage unit according to the embodiment. The user information storage unit 121 illustrated in FIG. 3 includes items such as “user ID”, “age”, “gender”, and “context”.

  “User ID” indicates identification information for identifying a user. For example, the user identified by the user ID “U1” corresponds to the user U1 illustrated in the example of FIG. “Age” indicates the age of the user who uses the terminal device 10. The “age” may be a specific age of the user identified by the user ID, such as 35 years old. “Gender” indicates the gender of the user who uses the terminal device 10. “Context” indicates a context of a user who uses the terminal device 10.

  For example, in the example illustrated in FIG. 3, the age of the user identified by the user ID “U1” is “20s”, and the gender of the user is “female”. For example, the user identified by the user ID “U1” indicates that the context is “CN11”. Further, for example, in the example illustrated in FIG. 3, the age of the user identified by the user ID “U2” is “30s”, and the gender of the user is “male”. For example, the user identified by the user ID “U2” indicates that the context is “CN21”.

  The user information storage unit 121 is not limited to the above, and may store various types of information according to the purpose. For example, the user information storage unit 121 may store information on demographic attributes of users and information on psychographic attributes. For example, the user information storage unit 121 may store information such as name, family structure, income, interest, and lifestyle.

(Behavior information storage unit 122)
The behavior information storage unit 122 according to the embodiment stores various types of information regarding the user's behavior. FIG. 4 is a diagram illustrating an example of the behavior information storage unit according to the embodiment. For example, the behavior information storage unit 122 stores user behavior information for content distributed to the terminal device 10 of each user. The behavior information storage unit 122 illustrated in FIG. 4 includes items such as “user ID”, “session ID”, “behavior ID”, “type”, “content”, and “date and time”.

  “User ID” indicates identification information for identifying a user. For example, the user identified by the user ID “U1” corresponds to the user U1 illustrated in the example of FIG. “Session ID” indicates information for identifying a session at the time when the behavior information is acquired. The “behavior ID” indicates information for identifying the user's behavior. The “type” indicates information related to the type of action of the corresponding user. Further, “content” indicates content that is targeted in the corresponding user's action. “Date and time” indicates the date and time when the corresponding user action was performed.

  For example, in the example illustrated in FIG. 4, the user (user U1) identified by the user ID “U1” has performed the action AC5 or the like in the session identified by the session ID “SN1”. Further, for example, in the example illustrated in FIG. 4, the user U1 performs an action identified by the action ID “AC11”, an action identified by the action ID “AC12”, or the like in the session identified by the session ID “SN2”. It shows that. Specifically, in the example shown in FIG. 4, the user U1 searches in the session identified by the session ID “SN2” using the query “wallet” (action AC11) or the search using the query “wallet gift” ( It shows that action AC12) etc. were performed.

  The behavior information storage unit 122 is not limited to the above, and may store various types of information according to the purpose. Moreover, although the case where action information was memorize | stored in the action information storage part 122 for every user ID was shown in FIG. 4, action information may be memorize | stored not only for every user ID but in order of time, for example.

(Index information storage unit 123)
The index information storage unit 123 according to the embodiment stores various types of information related to the index. FIG. 5 shows an example of the index information storage unit 123 according to the embodiment. The index information storage unit 123 illustrated in FIG. 5 includes items such as “index ID”, “index”, and “target product”. The “target product” has items such as “# 1” and “# 50”.

  “Index ID” indicates identification information for identifying an index. “Index” indicates an index. “# 1”, “# 50”, etc. in the “target product” indicate product information corresponding to the index. Note that “# 1”, “# 50”, and the like may correspond to the order of product information corresponding to the index. For example, “# 1” in “target product” may be product information ranked “1st” among the product information corresponding to the index. Further, “# 50” in the “target product” may be product information ranked “50th” in the product information corresponding to the index.

  In the example of FIG. 5, the index “wallet” identified by the index ID “IN11” indicates that the corresponding product information is product information related to the product GD1, the product GD314, and the like. In the example of FIG. 5, the index “gift” identified by the index ID “IN12” indicates that the corresponding product information is product information related to the product GD314, the product GD536, and the like.

  The index information storage unit 123 is not limited to the above, and may store various information according to the purpose. For example, the index information storage unit 123 may store information related to the date and time when each index or each item information is added.

(Product information storage unit 124)
The product information storage unit 124 according to the embodiment stores various types of information related to products. FIG. 6 shows an example of the product information storage unit 124 according to the embodiment. The product information storage unit 124 illustrated in FIG. 6 includes items such as “product ID”, “product”, “store”, “category”, “title”, and “description”.

  “Product ID” indicates identification information for identifying a product. “Product” indicates a specific name or the like of the product. “Store” indicates a provider that provides the corresponding product, that is, a seller. “Category” indicates the category to which the corresponding product belongs. “Title” indicates a title included in the product information of the product identified by the product ID. The “description” indicates an explanation included in the product information of the product identified by the product ID.

  For example, in the example illustrated in FIG. 6, the product (product GD1) identified by the product ID “GD1” is the product “wallet A”, which indicates that the product is provided by the store A. In addition, the category of the product GD1 indicates “fashion”. Further, the title of the product GD1 indicates “latest ...”. In addition, the description of the product GD1 indicates that “I will deliver with free shipping…”. For example, in the example illustrated in FIG. 6, the product (product GD2) identified by the product ID “GD2” is the product “clock A” and is a product provided by the store B. The category of the product GD2 indicates “accessory”.

  The product information storage unit 124 is not limited to the above, and may store various information according to the purpose. For example, the product information storage unit 124 may store information on the date and time when product information was added and the date and time when product information was created. The merchandise information storage unit 124 may store information regarding the evaluation value of each store.

(Control unit 130)
Returning to the description of FIG. 2, the control unit 130 is a controller and is stored in a storage device inside the search device 100 by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. Various programs (corresponding to an example of a change program) are implemented by using the RAM as a work area. The control unit 130 is a controller, and is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 2, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a change unit 133, and a provision unit 134, and implements or executes information processing functions and operations described below. .

(Acquisition part 131)
For example, the acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires various types of information from the user information storage unit 121, the behavior information storage unit 122, the index information storage unit 123, and the product information storage unit 124.

  The acquisition unit 131 may acquire various types of information from an external information processing apparatus. For example, the acquisition unit 131 acquires a query. For example, the acquisition unit 131 acquires a query for search from the terminal device 10. In the example of FIG. 1, the acquisition unit 131 acquires a query from the terminal device 10 used by the user U1. In the example of FIG. 1, the query “wallet” is acquired from the acquisition unit 131 and the terminal device 10-1. In the example of FIG. 1, the query “wallet gift” is acquired from the acquisition unit 131 and the terminal device 10-2.

  In the example of FIG. 1, the acquisition unit 131 obtains product information corresponding to the query from the product information storage unit 124 (see FIG. 6) based on the information stored in the index information storage unit 123 (see FIG. 5). get. In the example of FIG. 1, the acquisition unit 131 acquires product information regarding the product GD1 and the like corresponding to the query “wallet” from the product information storage unit 124. In the example of FIG. 1, the acquisition unit 131 acquires product information related to the product GD314 and the like corresponding to both the query “wallet” and the query “gift” from the product information storage unit 124.

  The acquisition unit 131 also includes a context immediately before estimated based on the user's first action information related to purchase in electronic commerce, and the user's second action information related to purchase after the time corresponding to the first action information. To get.

(Estimation unit 132)
The estimation unit 132 estimates various information. For example, the estimation unit 132 estimates the user context based on the user behavior information. For example, the estimation unit 132 estimates the current context in which the user's intention regarding purchase is narrower than the previous context based on the second behavior information acquired by the acquisition unit 131 and the previous context.

  For example, when the time point corresponding to the second behavior information is a time point within a predetermined period from the time point corresponding to the first behavior information, the estimation unit 132, based on the second behavior information and the immediately preceding context, Estimate the current context. For example, the estimation unit 132 may determine that the time point corresponding to the second action information is a time point within a predetermined period from the time point when the action related to the context immediately before the user stops after the time point corresponding to the first action information. The current context is estimated based on the second behavior information and the immediately preceding context. For example, the estimation unit 132 estimates the current context in which whether the purpose of purchase is a gift to another user is narrowed based on the second behavior information and the immediately preceding context.

  In the example of FIG. 1, the estimation unit 132 estimates the context of the user U1. For example, since the estimation unit 132 inputs the query “wallet”, the estimation unit 132 estimates the context of the user U1 as the context CN11 corresponding to the situation where the wallet is being searched. In the example of FIG. 1, the estimation unit 132 estimates the context of the user U1 as the context CN12. For example, since both the query “wallet” and the query “gift” are input, the estimation unit 132 estimates the context of the user U1 as the context CN12 corresponding to the situation where the wallet is being searched for as a gift.

(Change unit 133)
The changing unit 133 changes various information. For example, the changing unit 133 changes the user context. For example, the changing unit 133 changes the context based on the user context estimated by the estimating unit 132. For example, the changing unit 133 changes the immediately preceding context to the current context based on the immediately preceding context estimated immediately before the current context is estimated and the second behavior information.

  For example, the changing unit 133 changes the immediately preceding context to the current context in which the user's purpose of purchase is narrowed based on the second behavior information and the immediately preceding context. For example, based on the second behavior information and the immediately preceding context, the changing unit 133 changes the immediately preceding context to the current context in which the user's intention regarding purchase is narrower than the immediately preceding context. For example, when the time point corresponding to the second behavior information is a time point within a predetermined period from the time point corresponding to the first behavior information, the changing unit 133 determines the immediately preceding time based on the second behavior information and the immediately preceding context. Change the context of to the current context.

  Further, for example, the changing unit 133 corresponds to the first action information when the previous context is associated with the second action information related to purchase rather than the immediately preceding context based on the second action information and the immediately preceding context. If the action related to the previous context of the user stops after the point in time is within a predetermined period, the previous context is changed to the current context based on the second action information and the previous context. To do. For example, based on the second behavior information and the immediately preceding context, the changing unit 133 changes the immediately preceding context to the current context in which whether or not the purpose of purchase is a gift to another user is narrowed down.

  In the example of FIG. 1, the changing unit 133 changes the information on the context of the user U1 estimated by the estimating unit 132 based on the context CN11. For example, as illustrated in the user information storage unit 121-2, the changing unit 133 changes the context of the user U1 stored in the user information storage unit 121 to the context CN11.

  In the example of FIG. 1, the changing unit 133 changes information based on the context CN12 of the user U1 estimated by the estimating unit 132. For example, as illustrated in the user information storage unit 121-3, the changing unit 133 changes the context of the user U1 stored in the user information storage unit 121 to the context CN12. For example, the changing unit 133 changes the context CN11 corresponding to the situation where the user is searching for the wallet to the context CN12 corresponding to the situation where the user's intention is further narrowed down as a gift. For example, the changing unit 133 searches the immediately preceding context (context CN11) estimated based on the first action information that is a search by the query “wallet” using the query “wallet” and the query “gift”. The current context (context CN12) estimated based on the behavior information and the first context is changed.

(Providing unit 134)
The providing unit 134 provides various types of information to an external information processing apparatus. For example, the providing unit 134 provides a service based on the context changed by the changing unit 133 to an external information processing apparatus. For example, the providing unit 134 provides information related to a purchase target based on a current context that is a user context at the time of providing information. For example, the providing unit 134 provides information that prompts the user to purchase when the user's intention based on the current context, which is the user's context at the time of providing information, satisfies a predetermined condition regarding purchase. For example, when the acquisition unit 131 acquires a query from the terminal device 10, the providing unit 134 provides product information corresponding to the query to the terminal device 10 as a search result.

  For example, when the user's intention based on the current context, which is the user's context at the time of providing information, satisfies a predetermined condition regarding purchase, the providing unit 134 provides information that identifies the user to a target provider regarding purchase. To do. In the example of FIG. 1, the providing unit 134 does not provide information specifying the user U1 to the advertisement distribution device 50 when the context of the user U1 is the context CN11 and not the context CN12. In the example of FIG. 1, the providing unit 134 provides information for identifying the user U1 to the advertisement distribution device 50 when the context of the user U1 is the context CN12. For example, the providing unit 134 provides the advertisement distribution device 50 with information that specifies that the user U1 is looking for a wallet as a gift.

For example, the providing unit 134 may provide the terminal device 10 with information that prompts the user to purchase a predetermined wallet. For example, the providing unit 134 may provide the advertisement X to the terminal device 10.
[3. (Change processing flow)
Here, a procedure of change processing by the search device 100 according to the embodiment will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of query estimation according to the embodiment.

  As illustrated in FIG. 7, the search device 100 determines whether or not behavior information has been acquired (step S <b> 101). For example, when the behavior information is not acquired (step S101: No), the search device 100 determines whether or not the session is continued (step S102). For example, during the continuation of the session, the search device 100 determines whether or not the session is continued based on whether or not 30 minutes have passed since the last user behavior without any user behavior.

  When the session is continued (step S102: Yes), the search device 100 returns to step S101 and repeats the process. On the other hand, when the session is not continued (step S102: No), the search device 100 initializes the context (step S103). Thereafter, the search device 100 initializes a session (step S104). For example, the search device 100 terminates the session that has been continued by initializing the context, and starts a new session. Thereafter, the search device 100 returns to step S101 and repeats the process.

  On the other hand, when the behavior information is acquired (step S101: Yes), the search device 100 estimates a context based on the behavior information (step S105). In the example of FIG. 1, the search device 100 acquires behavior information indicating that the user U1 has performed a search at the date dt12 by acquiring a query from the terminal device 10 used by the user U1 at the date dt12. In the example of FIG. 1, since the search apparatus 100 inputs both the query “wallet” and the query “gift”, the context CN12 corresponding to the situation where the user U1 is searching for the wallet as a gift is used. Estimated.

  Thereafter, the search device 100 changes to the estimated context (step S106). In the example of FIG. 1, the search device 100 changes the context of the user U1 stored in the user information storage unit 121 to the context CN12 as illustrated in the user information storage unit 121-3. Then, the search device 100 determines whether the context of the user's intention is narrowed down (step S107). In the example of FIG. 1, the search device 100 determines that the context of the user U1 has been changed from the context CN11 to the context CN12, and the user's intention has been narrowed down.

  For example, if the user's intention is not a narrowed context (step S107: No), the search device 100 returns to step S101 and repeats the process. Accordingly, the search device 100 can narrow down the user's intention every time action information such as a query is acquired, and the session can be continued even in a context that cannot be narrowed down, and the next action information is acquired. By repeating the processing within the same session, the accuracy of the context can be improved.

  On the other hand, when the context of the user's intention is narrowed down (step S107: Yes), the search device 100 determines whether the context satisfies a predetermined condition (step S108). For example, when the context does not satisfy a predetermined condition (step S108: No), the search device 100 returns to step S101 and repeats the process.

  On the other hand, when the context satisfies a predetermined condition (step S108: Yes), the search device 100 provides a predetermined service (step S109). In the example of FIG. 1, the search device 100 determines that a predetermined condition is satisfied because the context of the user U1 is the context CN12, and provides the advertisement distribution device 50 with information that identifies the user U1. Thereafter, the search device 100 returns to step S101 and repeats the process. Note that the search device 100 may terminate the process after providing a predetermined service in step S109, repeat the process by returning to step S103, or perform an appropriate process according to the content of the change process.

[4. effect〕
As described above, the search device 100 according to the embodiment includes the acquisition unit 131 and the change unit 133. From the time corresponding to the 1st context estimated in the 1st context based on the 1st action information of the user about purchase in electronic commerce (in the embodiment, "immediately before context"; the same hereafter) and the 1st action information. Also, the user's second action information regarding the later purchase is acquired. Based on the second behavior information and the first context acquired by the acquisition unit 131, the changing unit 133 narrows down the user's intention regarding purchase of the first context acquired by the acquisition unit 131 rather than the first context. The second context (in the embodiment, “current context”, the same applies hereinafter).

  Thereby, the search device 100 according to the embodiment changes the first context estimated based on the first behavior information to the second context estimated based on the second behavior information and the first context. , The context of the user's intention can be changed. Therefore, the search device 100 can appropriately change the context regarding the user's purchase.

  In the search device 100 according to the embodiment, the changing unit 133 changes the first context to the second context based on the first context and the second behavior information estimated immediately before the second context is estimated. To do.

  Thereby, the search device 100 according to the embodiment changes the first context to the second context based on the first context and the second behavior information estimated immediately before the second context is estimated. The user's purchasing context can be changed appropriately.

  Further, in the search device 100 according to the embodiment, the changing unit 133 determines that the time point corresponding to the second action information is a time point within a predetermined period from the time point corresponding to the first action information, Based on the first context, the first context is changed to the second context.

  Thereby, the search device 100 according to the embodiment, when the time corresponding to the second behavior information is a time within a predetermined period from the time corresponding to the first behavior information, the second behavior information and the first context Based on the above, by changing the first context to the second context, it is possible to appropriately change the context relating to the user's purchase.

  Moreover, in the search device 100 according to the embodiment, the changing unit 133 starts from the time when the behavior corresponding to the first context of the user stops after the time corresponding to the second behavior information corresponds to the first behavior information. If the time is within the predetermined period, the first context is changed to the second context based on the second behavior information and the first context.

  Thereby, the search device 100 according to the embodiment has a time point corresponding to the second action information within a predetermined period from a time point when the action related to the first context of the user is stopped after the time point corresponding to the first action information. In the case of the point in time, by changing the first context to the second context based on the second behavior information and the first context, it is possible to appropriately change the context relating to the user's purchase. For example, the search device 100 changes the first context to the second context based on the second behavior information and the first context, for example, after searching for “Father's Day”, When a search is made, information on a wallet for men can be provided even if the user who performed the search is a woman.

  In the search device 100 according to the embodiment, the changing unit 133 changes the first context to the second context in which the purpose of the user's purchase is narrowed based on the second behavior information and the first context.

  Thereby, the search device 100 according to the embodiment changes the first context to the second context in which the purpose of the user's purchase is narrowed down based on the second behavior information and the first context, thereby The context can be changed appropriately. For example, based on the second behavior information and the first context, the search device 100 can use the first context for various purchase purposes such as whether the user's purchase purpose is purchase for himself or as a gift for others. Can be changed to the second context narrowed down to one of them.

  Further, in the search device 100 according to the embodiment, the changing unit 133 is configured to narrow down whether or not the purpose of purchasing the first context is a gift to another user based on the second behavior information and the first context. Change to 2 contexts.

  Thereby, the search device 100 according to the embodiment changes the first context to the second context in which whether or not the purpose of purchase is a gift to another user is narrowed based on the second behavior information and the first context. By doing so, the context regarding the purchase of the user can be changed appropriately.

  In addition, the search device 100 according to the embodiment includes a providing unit 134. The providing unit 134 provides information related to a purchase target based on a second context that is a user context at the time of providing information.

  Thereby, the search device 100 according to the embodiment can appropriately provide information based on the context related to the purchase of the user.

  In the search device 100 according to the embodiment, the providing unit 134 prompts the user to purchase when the user's intention based on the second context, which is the user's context at the time of providing information, satisfies a predetermined condition regarding purchase. Provide information.

  Thereby, the search device 100 according to the embodiment provides information that prompts the user to purchase when the user's intention based on the second context that is the user's context at the time of providing the information satisfies a predetermined condition regarding the purchase. Thus, information can be appropriately provided based on the user's purchase context.

  Also, in the search device 100 according to the embodiment, the providing unit 134 provides the purchase target when the user's intention based on the second context that is the user's context at the time of providing the information satisfies a predetermined condition regarding the purchase. Provide information that identifies the user to the source.

  Thereby, when the user's intention based on the second context, which is the user's context at the time of providing the information, satisfies the predetermined condition regarding the purchase, the search device 100 according to the embodiment sends the user to the target provider regarding the purchase. By providing the information to be identified, the information can be appropriately provided based on the user's purchase context.

[5. Hardware configuration)
The search device 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 8, for example. FIG. 8 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the search device. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD (Hard Disk Drive) 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

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

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and provides the data generated by the CPU 1100 to other devices via the network N.

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

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

  For example, when the computer 1000 functions as the search device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

  As mentioned above, although embodiment and modification of this application were described in detail based on drawing, these are illustrations, and various modifications based on the knowledge of those skilled in the art including the mode described in the line of disclosure of the invention, It is possible to implement the present invention in other forms with improvements.

[6. Others]
In addition, among the processes described in the above-described embodiments and modifications, all or a part of the processes described as being automatically performed can be manually performed, or are described as being performed manually. All or part of the processing can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  In addition, the above-described embodiments and modifications can be combined as appropriate within a range that does not contradict processing contents.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 Change system 100 Search device (change device)
REFERENCE SIGNS LIST 121 User information storage unit 122 Behavior information storage unit 123 Index information storage unit 124 Product information storage unit 130 Control unit 131 Acquisition unit 132 Estimation unit 133 Changing unit 134 Providing unit 10 Terminal device 50 Advertising distribution device N network

Claims (11)

An acquisition unit that acquires a first context estimated based on a user's first behavior information related to purchase in electronic commerce and a user's second behavior information related to the purchase after a time corresponding to the first behavior information. When,
Based on the second behavior information and the first context acquired by the acquisition unit, the user's intention regarding the purchase is narrowed down to the first context acquired by the acquisition unit rather than the first context. A change unit to change to the second context;
A changing device characterized by comprising: The changing unit is
The first context is changed to the second context based on the first context and the second behavior information estimated immediately before the second context is estimated. Change device. The changing unit is
When the time corresponding to the second behavior information is a time within a predetermined period from the time corresponding to the first behavior information, the first context is based on the second behavior information and the first context. The change device according to claim 1, wherein the change device is changed to the second context. The changing unit is
When the time corresponding to the second behavior information is a time within a predetermined period from the time when the behavior related to the first context of the user stops after the time corresponding to the first behavior information, The change device according to claim 3, wherein the first context is changed to the second context based on two behavior information and the first context. The changing unit is
The first context is changed to a second context in which the purpose of the purchase of the user is narrowed based on the second behavior information and the first context. 5. The change device according to item 1. The changing unit is
The first context is changed to a second context in which whether or not the purpose of the purchase is a gift to another user is narrowed based on the second behavior information and the first context. 5. The changing device according to 5. A providing unit for providing information on the purchase target based on the second context which is the context of the user at the time of providing the information;
The change device according to claim 1, further comprising: The providing unit includes:
The information for prompting the purchase to the user is provided when the user's intention based on the second context which is the context of the user at the time of providing information satisfies a predetermined condition regarding the purchase. Item 8. The changing device according to Item 7. The providing unit includes:
When the user's intention based on the second context, which is the user's context at the time of providing information, satisfies a predetermined condition regarding the purchase, information for identifying the user is provided to a target provider regarding the purchase The changing device according to claim 7 or 8, wherein A change method performed by a computer,
An acquisition step of acquiring a first context estimated based on a user's first action information related to purchase in electronic commerce and a user's second action information related to the purchase after a time corresponding to the first action information. When,
Based on the second behavior information and the first context acquired in the acquisition step, the user's intention regarding the purchase is narrowed down from the first context to the first context acquired in the acquisition step. A change step to change to the second context;
A change method characterized by including. Acquisition procedure for acquiring the first context estimated based on the first action information of the user related to the purchase in the electronic commerce and the second action information of the user related to the purchase after the time corresponding to the first action information. When,
Based on the second behavior information and the first context acquired by the acquisition procedure, the user's intention regarding the purchase is narrowed down from the first context to the first context acquired by the acquisition procedure. Change procedure to change to the second context;
A change program characterized by causing a computer to execute.

Images