JP6695953B1 - Information processing apparatus, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To propose information in which the intention of a user's action is highly accurately taken into consideration. An information processing apparatus according to the present application includes a reception unit and a determination unit. The reception unit receives a content distribution request from a user. The determining unit determines a presentation target, which is a transaction target to be presented to the user, based on process information indicating a process of a behavior history, which is a series of actions performed by the user immediately before reaching the content. [Selection diagram] Fig. 5

Description

  Embodiments of the present invention relate to an information processing device, an information processing method, and an information processing program.

  2. Description of the Related Art In recent years, with the rapid spread of networks such as the Internet, electronic commerce (EC: Electric Commerce) for trading goods and services by electronic information communication via such networks has been actively performed. For example, some EC sites recommend products suitable for the user by using the purchase history of the user.

  By the way, Patent Literature 1 discloses a technique of estimating the intention of a query input by a user based on the behavior history of the user.

JP, 2018-45332, A

  However, in the above-mentioned conventional technique, it is not always possible to provide information suggestion in which the intention of the user's action is highly accurately taken into consideration. For example, in the above-mentioned conventional technology, the intention of the query input by the user is simply estimated based on the browsing history and the search history, and for example, a series of behaviors indicating how the behavior has transitioned to the present Therefore, it is not always possible to make an information suggestion in which the intention of the user's action is considered with high accuracy.

  The present application has been made in view of the above, and an object of the present invention is to provide an information processing device, an information processing method, and an information processing program capable of making an information suggestion in which the intention of a user's action is highly accurately added. To do.

  An information processing apparatus according to the present application is based on a reception unit that receives a content distribution request from a user, and process information indicating a process of an action history that is a series of actions performed by the user immediately before reaching the content, based on the process information. And a deciding unit for deciding a presentation object which is a transaction object presented to.

  According to one aspect of the embodiment, it is possible to provide an information suggestion in which the intention of a user's action is highly accurately added.

FIG. 1 is a diagram conceptually illustrating information processing according to the embodiment. FIG. 2 is a diagram illustrating an example of information processing according to the embodiment. FIG. 3 is an explanatory diagram illustrating in detail an example of information processing according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 5 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 6 is a diagram illustrating an example of recommendations according to coupon acquisition. FIG. 7 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing device.

  Hereinafter, modes (hereinafter, referred to as “embodiments”) for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application will be described with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited to this embodiment. Further, in the following embodiments, the same reference numerals are given to the same parts, and duplicated description will be omitted.

[1. Information processing]
Hereinafter, an example of information processing according to the embodiment will be described. The information processing according to the embodiment is performed by the information processing device 100 described later.

  Prior to the description of the information processing according to the embodiment, the information processing system according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 4, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are connected via a network N so that they can communicate with each other in a wired or wireless manner. Note that the information processing system 1 illustrated in FIG. 4 may include a plurality of terminal devices 10 and a plurality of information processing devices 100.

  The terminal device 10 is an information processing device used by a user. The terminal device 10 is, 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.

  For example, the terminal device 10 accesses a predetermined service (for example, an EC site such as a shopping site) in response to a user operation, and displays a list of product information regarding products. In addition, for example, the terminal device 10 displays, for example, a list of product information hit with respect to a search query, that is, search results, in response to a user's search operation within a predetermined service. In the present embodiment, the predetermined service is assumed to be operated by a business owner who manages the information processing apparatus 100 (referred to as “business owner T”).

  Here, the premise for performing the information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram conceptually illustrating information processing according to the embodiment. The premise will be described with reference to FIG. In FIG. 1A, the recommendation method based on the action history (purchase history) that has been conventionally performed is shown as a premise. Although there are some conventional recommendation methods, FIG. 1A shows a typical one of them. Further, in order to explain the conventional recommendation method, the server X, which is a mackerel device for performing such recommendation, will be used temporarily.

  For example, it is assumed that the user Ux uses the terminal device 10 to search for a product related to shoes in a certain service (for example, a shopping site) and selects “◯ × shoes”, which is one of the search results. In such a case, the server X presents to the user Ux a page Px showing detailed information corresponding to the search result, more specifically, detailed information on “◯ × shoes”. There is a case where a page Px including predetermined product information as recommended information is provided in the form of "Recommendation". What kind of product the server X presents as recommended information is, based on the purchase history of another user who has also purchased “○ × shoes”, what kind of product is purchased by this other user. I count whether or not (total of the trout).

  For example, on the server X, based on the purchase history, the top-ranked products that have been purchased by other users who have purchased “○ × shoes” have a large number of purchases are “product X1, product X2, product X3, product”. If it is specified that “X4”, the user Ux also determines that the degree of interest in these four products is high. Then, the server X presents to the user Ux a page Px including recommended information for recommending “product X1, product X2, product X3, product X4”.

  However, as described above, such recommended information is not the user Ux, but merely the recommended information based on the total result of the other users, and the mere action history of the squares. It is hard to say that the recommended information reflects the intent of. In an extreme example, the “product X1, product X2, product X3, product X4” may be a product that has nothing to do with shoes, so the user Ux is not interested in this recommended information. Such a thing can occur enough.

  Then, when attention is focused on the behavior history of only the user Ux instead of counting the trouts, for example, if the user Ux has purchased a microwave oven in the past, products related to the microwave oven may be presented as recommended information. possible. Certainly, at that point in time when the microwave oven was purchased, the user Ux may have been interested in the product related to the microwave oven, but at the present time when looking for shoes, the user Ux is interested in the product related to the microwave oven. Not necessarily. Therefore, even in such a case, the user Ux may not be interested in this recommendation information.

  Here, not only the action history but also what kind of recommended information is effective for the user Ux at the present time, focusing on what kind of action the user Ux has reached the page Px and the process of the action within the service. Appropriate information can be appropriately determined. For example, if the user Ux has reached the current page Px after repeatedly searching and browsing shoes, it can be said that the user wants information on shoes with a high probability. If information about shoes can be determined and presented as recommended information at such a timing, it can be said that such recommended information is very grateful to the user Ux.

  Based on such a premise, the information processing apparatus 100 performs information processing according to the embodiment. Specifically, when the information processing apparatus 100 receives a content distribution request from the user, the information processing apparatus 100 is a series of actions of the user from the service used before the user receives the content to the content. , Get process information that shows the process of action in the service. Then, the information processing apparatus 100 determines recommended information recommended to the user based on the acquired process information.

  For example, the information processing apparatus 100 acquires, as the process information, browsing information indicating a series of browsing behaviors of the user in the service up to the content, and recommended information recommended to the user based on the acquired browsing information. To decide. Specifically, the information processing apparatus 100 is recommended information recommended to the user based on the attribute information specified based on the browsing information and based on the attribute information related to the transaction target browsed by the user through a series of browsing actions. To decide.

  Further, the information processing apparatus 100 acquires, as the process information, search information indicating a series of search behaviors of the user within the service up to the content, and recommended information recommended to the user based on the acquired search information. To decide. Specifically, when the search information indicating that the user has performed the search using the search query is acquired in the series of actions of the user until reaching the content, the information processing apparatus 100 performs the predetermined operation. The search result after narrowing down the search result using the condition of is determined as the recommended information. For example, the information processing apparatus 100 corresponds to the search result when the search information indicating that the user has performed the search using the search query is acquired in the series of actions of the user up to the content. Search after narrowing down from the search results using a search query that has at least one of the specifications of the trade objects to be specified, the model of the trade objects corresponding to the search results, or the model of the trade objects corresponding to the search results Determine the result as recommended information.

  In the present embodiment, in the process of determining the recommended information by the information processing apparatus 100, the presentation target that is the transaction target of the presentation target such as what transaction target (product) to present (recommend) is determined. Thus, the processing includes determining the determined transaction object itself as recommended information, or determining information on the determined transaction object (for example, search result, evaluation information, ranking information) as recommended information. Further, in the following embodiments, the wording of deciding recommended information can be paraphrased as deciding the presentation target.

  From here, the difference in information processing according to the embodiment with respect to the preconditioning process described in FIG. 1A will be described with reference to FIG. In addition, in the following embodiments, it is assumed that the transaction target is a product. Also, the user U1 will be used as the user. Further, in the following embodiments, the recommended information is not a list page in which simple product information such as search results is displayed as a list, but transitions when, for example, one of the product information displayed in the list is selected. It is assumed that the detailed page is displayed on the detailed page showing detailed information about the product. Further, in such a case, the detail page can be said to be an example of content. Of course, the recommended information may be displayed at any timing in any content.

  In the example of FIG. 1B, it is assumed that the user U1 takes the following action in the service TZ which is a shopping site. The user U1 is performing the action At11 on the top page P11 by accessing the top page P11. Specifically, the user U1 performs actions such as “view ranking information regarding sneakers” and “select information regarding sneaker X11 (for example, thumbnail image) from the ranking information” as the action At11. Next, the user U1 transitions to the detail page P12 regarding the sneaker X11 and performs the action At12 in response to the action At11. Specifically, the user U1 is performing an action such as "Browse detailed page P12 regarding sneaker X11" and "Search" sneaker white "as a search query" as action At12. Next, the user U1 makes a transition to the search result page P13 according to the action At12 and performs the action At13. Specifically, the user U1 performs actions such as “viewing the search result page P13 regarding sneakers” and “selecting the search result RE2 corresponding to (sneaker A2 white)” as the action At13.

  Due to the action At13 performed by the user U1, the information processing apparatus 100 receives, from the terminal device 10, a distribution request for the detailed page P14 (an example of content) corresponding to (sneaker A2 white). For example, if the information processing apparatus 100 determines that it is time to present the recommended information on the detailed page P14, the information processing apparatus 100 is a series of actions of the user U1 up to the detailed page P14, and an action on the service TZ. Acquire process information indicating the process of. For example, the information processing apparatus 100 acquires, as the process information, browsing information indicating a series of browsing behaviors of the user U1 up to the detail page P14. Further, the information processing apparatus 100 acquires, as the process information, search information indicating a series of search actions of the user U1 up to the detail page P14.

  In the example of FIG. 1B, the user U1 goes through the action At11, the action At12, the action At13, and the action At14 in order to reach the detail page P14. In other words, the user U1 reaches the detailed page P14 through the process of actions such as action At11, action At12, action At13, and action At14. It can also be said that the user U1 has performed a series of actions from Action At11 to Action At14 before reaching the detail page P14. Therefore, in the example of FIG. 1B, the information processing apparatus 100 acquires the process information indicating the action At11, the action At12, the action At13, and the action At14 (actions At11 to At14). When this process information is set as the process information PJ1, the information processing apparatus 100 determines recommended information recommended for the user U1 based on the process information PJ1. That is, the information processing apparatus 100 determines the product (presentation target) to be presented to the user U1 based on the process information PJ1 and also determines the recommended information based on the determined presentation target.

  According to the process information PJ1, the user U1 is highly likely to be looking for “white sneakers”. This is because the user U1 searches for "sneaker white" as a search query in the action At12, and actually selects (views) one of the search results in the action At12. From this, the information processing apparatus 100 analyzes the intention of the actions At11 to At14 based on the process information PJ1 and recommends what information is recommended information based on the analysis result. And decide what to do.

  In the example of FIG. 1B, the analysis result of the information processing apparatus 100 indicates that, for example, the actions At11 to At14 are actions performed with the intention of “I want information about white sneakers”. To get It is highly possible that the user U1 who wants information about white sneakers will further input a search query and narrow down the search results. Therefore, the information processing apparatus 100 sets a narrowing-down search query for further narrowing down the search result (displayed on page P13) corresponding to the search query “sneaker white” input by the user U1. For example, the information processing apparatus 100 sets the narrowing-down search queries “sneaker M1 maker white” and “sneaker M2 maker white” that are conditional on the manufacturer (maker) of the product (in this case, sneaker).

  In such a state, the information processing apparatus 100 dynamically performs a search process using the narrow-down search query “sneaker M1 maker white” to obtain search results further narrowed down from the search results on the page P13. Then, the information processing apparatus 100 determines this search result as recommended information. For example, when the information processing apparatus 100 obtains a plurality of search results corresponding to each product, the information processing device 100 extracts the search results of each of the four products with the highest sales ranking among the products. Here, it is assumed that the information processing apparatus 100 extracts search results (collectively referred to as search result RE11) corresponding to each of the product X21, the product X22, the product X23, and the product X24. Then, the information processing device 100 determines the search result RE11 as recommended information.

  In addition, the information processing apparatus 100 dynamically performs a search process using the narrow-down search query “sneaker M2 maker white” to obtain search results further narrowed down from the search results on the page P13. Then, the information processing apparatus 100 determines this search result as recommended information. For example, when the information processing apparatus 100 obtains a plurality of search results corresponding to each product, the information processing device 100 extracts the search results of each of the four products with the highest sales ranking among the products. Here, it is assumed that the information processing apparatus 100 extracts the search results (collectively referred to as the search result RE12) corresponding to each of the product X31, the product X32, the product X33, and the product X34. Then, the information processing device 100 determines the search result RE12 as recommended information.

  When the information processing apparatus 100 determines the recommended information as described above, the information processing apparatus 100 transmits the detailed page P14 on which the determined recommended information is displayed to the terminal device 10 that is the distribution request source. For example, in the information processing apparatus 100, as shown in FIG. 1B, detailed information of the search result RE2 is displayed in the upper half area, and the search result RE11 and the search result RE12 that are recommended information are displayed in the lower half area. The detail page P14 as displayed is generated. Then, the information processing apparatus 100 transmits the generated detail page P14 to the terminal device 10 that is the distribution request source.

  As described above, the recommended information presented by the information processing apparatus 100 is more informative than the recommended information presented by the server X on the page Px (FIG. 1 (a)), or It can be said that the information is based on the result of pre-reading the behavior of the user. That is, the user is very convenient because the information that he / she was about to search for is presented first by the information processing apparatus 100, and the user is more interested in the recommended information. From the above, it can be said that the information processing apparatus 100 according to the embodiment can provide information suggestion in which the intention of the user's action is highly accurately taken into consideration.

  Now, the information processing according to the embodiment has been described with reference to FIG. 1 while comparing with the conventional method. Next, an example of information processing according to the embodiment will be described step by step with reference to FIG. FIG. 2 is a diagram illustrating an example of information processing according to the embodiment. Note that the description will be made with reference to FIG. 3 as appropriate. FIG. 3 is an explanatory diagram illustrating in detail an example of information processing according to the embodiment.

  First, the information processing device 100 has an action information storage unit 121 as shown in FIG. The behavior information storage unit 121 stores behavior information indicating various behaviors of the user. The behavior information storage unit 121 stores, for example, a series of behaviors from the service used before the user receives the provision of the content to the content, and process information indicating a process of behavior within the service. To do. In the example of FIG. 2, the behavior information storage unit 121 has items such as “user ID”, “date”, “service ID”, “page ID”, and “action information”.

  The “user ID” indicates identification information for identifying the user or the terminal device 10 of the user. “Date” indicates the date when the page is identified by the “page ID”. Further, the “date” may be the date on which the action indicated by the “action information” was performed. The “service ID” indicates information for identifying in which service the action indicated by the “action information” was performed. The “page ID” indicates identification information that identifies the transition destination page that was transitioned on the corresponding “date”. Further, the “page ID” may be identification information that identifies the page on which the action indicated by the “action information” is performed. The “action information” is information indicating an action performed on the page identified by the “page ID”. The action indicated by the “action information” includes actions such as browsing, searching, selecting, and purchasing.

  For example, in the example of the behavior information storage unit 121 illustrated in FIG. 2, the user (user U1) identified by the user ID “U1” has recently performed the following behavior. In other words, the information processing apparatus 100 stores the detected behavior information in the behavior information storage unit 121 by detecting the behavior information indicating the following behavior of the user U1.

  Specifically, the user U1 accesses the top page P21 to perform actions such as “viewing the top page P21” and “selecting the category“ sneakers ””. Next, the user U1 transitions to a page P22 relating to sneakers, and performs actions such as "view page P22" and "search" sneaker M1 maker "as a search query". Next, the user U1 transitions to the search result page P23 regarding sneakers, and performs actions such as “viewing the search result page P23” and “selecting the search result RE22 corresponding to (sneaker B2 M1 manufacturer)”. Then, FIG. 3A schematically shows such a series of actions. Further, the information processing apparatus 100 stores the process information indicating such a series of behaviors in the behavior information storage unit 121 by acquiring (detecting) the process information from the terminal device 10 of the user U1.

  Here, since the information processing apparatus 100 determines whether or not the content distribution request is accepted (step S11), the content distribution request, specifically the content distribution request, is made by selecting the search result RE22 as described above. Specifically, it is determined that the distribution request for the detailed page P24 corresponding to the search result RE22 has been received. If the content distribution request has not been received (step S11; No), the information processing apparatus 100 waits until it is received.

  Then, when it is determined that the content distribution request has been received (step S11; Yes), the information processing apparatus 100 determines whether it is the timing to present the recommended information (step S12). When the information processing apparatus 100 determines that it is not the time to present the recommended information (step S12; No), it simply distributes the detailed page P24 that does not include the recommended information and ends the process. In the example of FIG. 2, it is assumed that the information processing apparatus 100 has determined that it is time to present recommended information.

  When the information processing apparatus 100 determines that it is time to present the recommended information (step S12; Yes), the information processing apparatus 100 acquires the process information (step S13). For example, the information processing apparatus 100 acquires “action information” associated with the user ID “U1” in the action information storage unit 121 as the process information PJ2.

  Next, the information processing apparatus 100 executes a determination process of determining recommended information (step S14). The information processing apparatus 100 analyzes, based on the process information PJ2, what kind of intention a series of actions indicated by the process information PJ2 is performed, and based on the analysis result, what information is recommended information. Decide what to do. The information processing apparatus 100 can use any method for intention analysis. For example, the information processing apparatus 100 may analyze the intention based on the search query used immediately before, or may analyze the intention using a result of machine learning (for example, a learning model). In the case of machine learning, such a model is a model that shows a correlation between an action and an intention, for example, that a user who takes a certain action tends to take the action because of such an intention.

  In the example of FIG. 3A, the information processing apparatus 100 is analyzed and, for example, a series of actions indicated by the process information PJ2 is an action performed with the intention of “I want information about sneakers of the M1 manufacturer”. Obtain the analysis result that there is. The user U1 who wants information about sneakers from the M1 manufacturer is likely to narrow down the search results by further inputting a search query. Therefore, the information processing apparatus 100 sets a narrowing-down search query for further narrowing down from the search result (displayed on page P23) corresponding to the search query “sneaker M1 maker” input by the user U1. For example, the information processing apparatus 100 sets a narrowing-down search query “sneakers M1 maker D1 model” and “sneakers M1 maker D2 model” based on the specifications (for example, model) of the product (in this case, sneakers).

  In such a state, the information processing apparatus 100 dynamically performs a search process using the search query “sneakers M1 maker D1 model” for narrowing down to obtain search results further narrowed down from the search results on the page P23. . Then, the information processing apparatus 100 determines this search result as recommended information. Here, it is assumed that the information processing apparatus 100 has obtained search results (collectively referred to as search result RE21) corresponding to the products X21, X22, X23, and X24. Then, the information processing device 100 determines the search result RE21 as recommended information.

  In addition, the information processing apparatus 100 dynamically performs a search process using the search query “sneaker M1 maker D2 model” for narrowing down to obtain a further narrowed search result from the search result on the page P23. Here, it is assumed that the information processing apparatus 100 obtains the search results (collectively referred to as the search result RE22) corresponding to each of the product X31, the product X32, the product X33, and the product X34. Then, the information processing device 100 determines the search result RE22 as recommended information.

  Next, the information processing device 100 delivers the recommended information to the terminal device 10 together with the detailed page P24. For example, in the information processing apparatus 100, as illustrated in FIG. 3A, detailed information of the search result RE22 is displayed in the upper half area, and the search result RE21 and the search result RE22 that are recommended information are displayed in the lower half area. The detail page P24 as displayed is generated. Then, the information processing device 100 distributes the generated detail page P14 to the terminal device 10.

  An example of information processing according to the embodiment has been described with reference to FIGS. 2 and 3A. Next, another example of information processing according to the embodiment will be described with reference to FIGS. 2 and 3B. explain. Specifically, an example will be described in which the information processing apparatus 100 determines, as recommended information, list information for comparing transaction targets of the same type that are continuously browsed in a series of actions. Note that the processing procedure is as already described in FIG. 2, and therefore detailed description after this is omitted. Further, the repeated description will be appropriately omitted.

  For example, in the example of the behavior information storage unit 121 illustrated in FIG. 2, the user (user U3) identified by the user ID “U3” has recently performed the following behavior. In other words, the information processing apparatus 100 stores the detected action information in the action information storage unit 121 by detecting the action information indicating the following action of the user U3.

  Specifically, the user U3 is performing actions such as “viewing the search result page P31” and “selecting the search result RE31” by accessing the search result page P31 regarding the refrigerator. Next, the user U3 transits to the detail page P32 of the refrigerator F1 and performs actions such as “viewing the detail page P32” and “browsing back to the search result page P31”. Next, the user U3 makes a transition to the search result page P31, and performs actions such as "viewing the search result page P31" and "selecting the search result RE32." Then, FIG. 3B schematically shows such a series of actions. Further, the information processing apparatus 100 stores the process information indicating such a series of actions in the action information storage unit 121 by acquiring (detecting) the process information from the terminal device 10 of the user U3.

  Further, it is assumed that the information processing apparatus 100 has determined that it is the time to present the recommended information by accepting the distribution request for the detailed page P33 corresponding to the search result RE32.

  Then, in this case, the information processing apparatus 100 acquires the “action information” associated with the user ID “U3” in the action information storage unit 121 as the process information PJ3. Next, the information processing apparatus 100 analyzes what intention the series of actions indicated by the process information PJ3 is intended based on the process information PJ3, and recommends what information based on the analysis result. Decide if it should be information.

  According to the process information PJ3, the user U3 browses various search results starting from the search result page P31 regarding the refrigerator. That is, since the user U3 continuously browses the information regarding the transaction target of the same type (refrigerator in this case), there is a high possibility that the user U3 is comparing the appearance, the price, the specifications, and the like. Therefore, in the example of FIG. 3B, the information processing apparatus 100 analyzes that, for example, the series of actions indicated by the process information PJ3 is an action performed with the intention of “information comparison”. Obtain the analysis result that there is. Here, if the information browsed by the user U3 in the process information PJ3 is displayed in a list, it is convenient that price comparison and specification comparison can be easily performed, for example.

  Therefore, the information processing apparatus 100 determines, as the recommended information, the list information for comparing the refrigerators browsed in the series of actions indicated by the process information PJ3. For example, the information processing apparatus 100 determines, as the recommended information, list information for comparing the prices of the refrigerators browsed in the series of actions indicated by the process information PJ3.

  For example, if the user U3 continuously browses the product X41, the product X42, the product X43, and the product X44, the information processing apparatus 100 generates the list information J411 for comparing the cases of these four products.

  Next, the information processing device 100 delivers the list information J411 to the terminal device 10 together with the detailed page P33. For example, in the information processing apparatus 100, as shown in FIG. 3B, the detailed page P33 in which the detailed information of the search result RE32 is displayed in the upper half area and the list information J411 is displayed in the lower half area. To generate. Then, the information processing apparatus 100 distributes the generated detail page P33 to the terminal device 10.

[2. Configuration of information processing device]
Next, the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a diagram illustrating a configuration example of the information processing device 100 according to the embodiment. As shown in FIG. 5, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. For example, the information processing device 100 is a server device that performs the information processing described with reference to FIGS. 2 and 3.

(About communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network by wire or wirelessly, and transmits / receives information to / from the terminal device 10, for example.

(About 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. The storage unit 120 has a behavior information storage unit 121. Since the behavior information storage unit 121 has already been described with reference to FIG. 2, further description will be omitted.

(Regarding the control unit 130)
Returning to FIG. 5, the control unit 130 causes the CPU (Central Processing Unit), the MPU (Micro Processing Unit), and the like to execute various programs stored in the storage device inside the information processing apparatus 100 using the RAM as a work area. It is realized by Further, the control unit 130 is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

(About the reception unit 131)
The reception unit 131 receives a content distribution request from a user. For example, the accepting unit 131 determines whether a content distribution request has been accepted, and when determining that the content distribution request has been accepted, determines whether it is time to present recommended information in the content. For example, if the reception unit 131 determines that it is time to present the recommended information, the reception unit 131 shifts the processing to the acquisition unit 132.

(About acquisition unit 132)
The acquisition unit 132 acquires process information indicating a process of behavior within the service, which is a series of behaviors of the user from the service that the user used to receive the provision of the content to the content. For example, when the user has reached the content after using the series of services before the user receives the provision of the content, the acquisition unit 132 uses the series of processes performed over the plurality of services as the process information. Acquire process information indicating the action process of. For example, the acquisition unit 132 acquires, as the process information, process information indicating a process of action from the service used immediately before the user receives the provision of the content to the content.

  Further, the acquisition unit 132 acquires, as the process information, browsing information indicating a series of browsing behaviors of the user within the service up to the content. Further, the acquisition unit 132 acquires, as process information, search information indicating a series of search behaviors of the user within the service up to the content.

  For example, the acquisition unit 132 acquires action information indicating this action each time the user takes an action using the terminal device 10. For example, the acquisition unit 132 acquires each browsing information or search information from the terminal device 10 as appropriate, and if the acquired browsing information or search information is connected as a series of actions, it is used as process information in the action information storage unit. It is stored in 121. Further, when the reception unit 131 determines that it is time to present the recommended information, the acquisition unit 132 acquires the process information (behavior information) of the target user from the behavior information storage unit 121. Then, the acquisition unit 132 transmits the acquired process information to the determination unit 133. The acquisition unit 132 may acquire the process information from a server device other than the information processing device 100. The acquisition unit 132 can also acquire (receive) process information from a predetermined processing unit in the information processing device 100.

(About the determination unit 133)
The determination unit 133 determines a presentation target, which is a transaction target presented to the user, based on process information indicating a process of a behavior history, which is a series of actions performed by the user immediately before reaching the content. For example, the determination unit 133 determines the presentation target based on the process information, which is process information indicating a process of an action history that is a series of actions of the user in the service used immediately before the user receives the provision of the content. For example, when the user has reached the content after using the series of services immediately before receiving the provision of the content, the determination unit 133 uses the series of actions performed over the plurality of services as the process information. The presentation target is determined based on the process information indicating the process of the action history.

  For example, the determination unit 133 determines recommended information recommended to the user based on the process information acquired by the acquisition unit 132. For example, the determination unit 133 determines the recommended information recommended to the user based on the action information indicating the action performed immediately before reaching the content among the actions in the process as the process information.

  Further, for example, the determination unit 133 determines recommended information recommended to the user based on the browsing information. For example, the determination unit 133 determines recommended information recommended to the user based on the attribute information specified based on the browsing information and the attribute information regarding the transaction target browsed by the user through a series of browsing actions. The attribute information regarding the transaction target is, for example, “shoes” in the example of FIG. 3A and “refrigerator” in the example of FIG. 3B. Of course, the attribute information regarding the transaction object may be a query input by the user, selection information selected by the user, or the like.

  In addition, as described with reference to FIGS. 2 and 3B, the determination unit 133, in the series of actions of the user until reaching the content, the user continuously browses the transaction target of the same type in the service. When the browsing information indicating is acquired, the list information for comparing the browsed transaction objects of the same type is determined as the recommended information.

  Further, when the browsing information indicating that the user browses a plurality of transaction targets of the same type in the service is acquired in the series of actions of the user up to the content, the determination unit 133 performs the transaction. Ranking information regarding the target may be determined as the recommended information. This point will be described with reference to the example of FIG.

  According to the process information PJ3, the user U3 browses various search results starting from the search result page P31 regarding the refrigerator. That is, since the user U3 continuously browses the information regarding the transaction target of the same type (refrigerator in this case), there is a high possibility that the user U3 is searching for a good refrigerator. From this, the determination unit 133 analyzes the analysis result that, for example, the series of actions indicated by the process information PJ3 is an action performed with the intention of “finding a popular refrigerator”. obtain. In such a case, it is convenient to display a list of ranking information about the refrigerator.

  Therefore, the determination unit 133 determines the list information in which the ranking information regarding the refrigerator is displayed as a list as the recommended information. Further, the generation unit 134 described later acquires, for example, ranking information regarding sales of refrigerators in the service TZ, and generates recommendation information such that the acquired ranking information is displayed. Then, the information processing device 100 distributes this recommended information to the terminal device 10 together with the detailed page P33.

  Further, the determination unit 133 determines recommended information recommended to the user based on the search information. For example, the determination unit 133 uses a predetermined condition when the search information indicating that the user has performed the search using the search query is acquired in the series of actions of the user up to the content. The search result after narrowing down the search result is determined as the recommended information. For example, the determination unit 133 corresponds to the search result when the search information indicating that the user has performed the search using the search query is acquired in the series of actions of the user up to the content. Search results after narrowing down from the search results using a search query that has at least one of the specifications of the transaction target, the model of the transaction target corresponding to the search result, or the manufacturer of the transaction target corresponding to the search result Is decided as recommended information.

  Note that the determining unit 133 has combination information of a series of actions and recommendation information, such as determining such recommendation information if the user is performing such a series of actions. Then, the recommended information may be determined based on this combination information. In addition, the determination unit 133 has combination information of the immediately preceding action and the recommended information, such as determining such recommended information if the user has performed such an action immediately before. Then, the recommended information may be determined based on this combination information.

(Regarding the generation unit 134)
The generation unit 134 generates recommendation information to be actually presented to the user based on the recommendation information determined by the determination unit 133. Specifically, the determining unit 133 determines what kind of information should be used as the recommended information, and thus the generating unit 134 generates the recommended information as determined by the determining unit 133.

  For example, in the example of FIG. 3A, the generation unit 134 generates the search result RE21 such that the representative images (thumbnails) of the four products are displayed as the search results of the four products. The same applies to the search result RE22. Further, in the example of FIG. 3B, the generation unit 134 generates the list information J411 such that the price information of each of the four products is displayed together with the representative image (thumbnail) of each of the four products. Note that the generation unit 134 may also generate content in which recommended information is displayed.

(About the presentation unit 135)
The presentation unit 135 presents the recommendation information determined by the determination unit 133 to the user. For example, the presentation unit 135 presents (distributes or transmits) the recommended information generated by the generation unit 134 to the user together with the content generated by the generation unit 134. For example, the presentation unit 135 presents the content including the recommended information to the user.

[3. Modification example)
The information processing apparatus 100 according to the above embodiment may be implemented in various different forms other than the above embodiment. Therefore, other embodiments of the information processing apparatus 100 will be described below.

[3-1. Recommendation according to coupon acquisition)
When the acquisition unit 132 acquires process information indicating that the user has acquired a coupon in the series of actions of the user until reaching the content, the determination unit 133 targets the content. The target information indicating the transaction target to which the coupon is applicable among the transaction targets related to the existing transaction target is determined as the recommended information. This point will be described with reference to FIG. FIG. 6 is a diagram illustrating an example of recommendations according to coupon acquisition. In FIG. 6, it is assumed that the user U1 has acted.

  In the example of FIG. 6, the user U1 accesses the top page P41 to perform actions such as “view top page P41”, “obtain coupon K”, and “search“ sneaker white ”as search query”. There is. Further, the information processing apparatus 100 stores the process information indicating such a series of actions in the action information storage unit 121 by acquiring (detecting) the process information from the terminal device 10 of the user U3.

  Further, it is assumed that the information processing apparatus 100 has determined that it is time to present the recommended information by receiving the distribution request of the search result page P42.

  Assuming that the series of behavior information performed by the user U1 as described above is the process information PJ4, the information processing apparatus 100 acquires this process information PJ4 from the behavior information storage unit 121. Next, the information processing apparatus 100 analyzes what intention the series of actions indicated by the process information PJ4 is intended based on the process information PJ4, and recommends what information based on the analysis result. Decide if it should be information.

  The determination unit 133 obtains an analysis result that, for example, the series of actions indicated by the process information PJ4 is an action performed with the intention of “I want to use the coupon K immediately if there is a good product”. .. In such a case, it is convenient to display a list of products to which the coupon K is applicable. Therefore, the determination unit 133 determines the list information of the products to which the coupon K is applicable as the recommended information.

  Here, in the example of FIG. 6, the transaction target related to the target transaction target in the content is handled by the product or service TZ that is hit when the search query “sneaker white” is searched. Among the products, the products belong to the category “shoes”. For this reason, the generation unit 134 selects from among the products that are hit when the search is performed with the search query “sneaker white” or the products that are handled by the service TZ and that belong to the category “shoes”. , Obtains product information of a product to which the coupon K is applicable. For example, if the products to which the coupon K can be applied are the product 51, the product 52, the product 53, and the product 54, the generating unit 134 displays the list information in which the product information (for example, thumbnails) of these four products is displayed in a list. Generate J511.

  Further, as shown in FIG. 6, the generation unit 134 generates the search result page P42 in which the search result is displayed in the upper area and the list information J511 is displayed in the lower area. Then, the presentation unit 135 distributes the search result page P42 generated by the generation unit 134 to the terminal device 10.

  For example, a product to which a coupon acquired by the user in the past may be recommended may be recommended. However, if multiple coupons are acquired, the user can instantly determine which of the coupons the user has can be applied. Sometimes it is difficult to understand and it becomes complicated. However, in the present embodiment, the information processing apparatus 100 can recommend a product to which a coupon acquired immediately before in a series of actions can be applied, and therefore, while there is a desire to use the coupon, Since it is possible to recommend products for which the coupon can be reliably used, the convenience of using the coupon can be improved.

[3-2. Recommend other products belonging to the category]
Further, when the browsing information indicating that the user browses the transaction target belonging to the predetermined category in the service is acquired in the series of actions of the user until reaching the content, the determination unit 133 determines the predetermined information. Target information indicating other transaction objects belonging to the category is determined as recommended information.

  For example, it is assumed that the user U1 browses the products X61 and X62, which are the products belonging to the category “electric appliances”, immediately before reaching the page P51 in a series of actions leading to the page P51. Then, the determination unit 133 obtains an analysis result that, for example, this browsing action is an action performed with the intention of “I want to purchase if there is a good electric appliance,” for example. Therefore, the determination unit 133 determines, as the recommended information, target information indicating a product other than the product X61 and the product X62 browsed by the user U1 among the products belonging to the category “electrical product”.

  In addition, the presentation unit 135 distributes the page P51 to the user in response to the generation of the page P51 by which the target information is displayed by the generation unit 134. In such a case, the user U1 can notice, for example, a hot-selling electric appliance as an electric appliance that has not been browsed on the page P51, and thus can save time and effort for searching for an electric appliance by himself. For this reason, the information processing apparatus 100 can, for example, improve the convenience of information retrieval and can make information proposals that accurately consider the intention of the user's action.

  Further, another example will be shown using the above example. For example, in a series of actions taken by the user until reaching page P51, a product belonging to the category “washing machine” immediately before reaching page P51, such as “the next day's order is delivered within one hour” It is assumed that the product X61 and the product X62, which are machines, are browsed. Then, the determination unit 133 obtains an analysis result that, for example, this browsing action is an action performed with the intention of “I want a washing machine immediately”. In such a case, the determination unit 133 determines target information indicating a product other than the product X61 browsed by the user U1 among the products belonging to the category “washing machine” as the recommended information.

  In addition, the presentation unit 135 distributes the page P51 to the user in response to the generation of the page P51 by which the target information is displayed by the generation unit 134. As a result, the user U1 can immediately find a washing machine that can be "delivered the next day with an order within one hour from now". Thereby, the information processing apparatus 100 can, for example, improve the convenience of information search and can make information suggestion in which the intention of the user's action is highly accurately taken into consideration.

[3-3. Recommendation in the same store]
Further, when the browsing information indicating that the user browses a plurality of transaction targets in the same service is acquired in the series of actions of the user up to the content, the determining unit 133 determines whether the content of the service Target information indicating another transaction target is determined as recommended information.

  For example, it is assumed that the user U1 browses the products X61 and X62 which are the products belonging to the category “electrical appliances” in the service TZ immediately before reaching the page P51 in a series of actions leading to the page P51. .. As described above, when a plurality of products are browsed in the service TZ, it is highly possible that the user U1 intends to purchase the product in the service TZ. Furthermore, it is highly possible that the user U1 intends to purchase a product belonging to the category "electrical product" in the service TZ. Then, the determination unit 133 obtains an analysis result that, for example, this browsing action is an action performed with the intention of "I want to purchase an electric appliance at the service TZ" through analysis. Therefore, the determination unit 133 is a target indicating a product other than the product X61 and the product X62 browsed by the user U1 among the products belonging to the category “electrical product” and which is handled by the service TZ. Determine the information as recommended information.

  In addition, the presentation unit 135 distributes the page P51 to the user in response to the generation of the page P51 by which the target information is displayed by the generation unit 134. In this way, the information processing apparatus 100 can improve the convenience of information retrieval, for example, and can make information proposals in which the intention of the user's action is highly accurately taken into consideration. In addition, the information processing apparatus 100 can prevent shipping charges from being added due to purchase of products over a plurality of services.

[3-4. Recommend evaluation information)
Further, when the browsing information indicating that the user browses a transaction target belonging to a predetermined category in the service is acquired in the series of actions of the user until reaching the content, the determination unit 133 determines the transaction target. Evaluation information for is determined as recommended information.

  For example, in the series of actions leading to the detail page P61, the user U1 browses the search result page regarding the book immediately before reaching the detail page P61 of the product X71, which is a book, and then selects one of the search results. It is assumed that the distribution request for the detailed page P61 is transmitted by selecting the product X71 which is. Then, the analysis result of the determination unit 133 is that the action is performed with the intention of “a book should be purchased in consideration of word-of-mouth (an example of evaluation information) of another user in the case of a book”. To get Therefore, the determination unit 133 determines word-of-mouth (evaluation information) regarding the product X71 as recommended information.

  In addition, the presentation unit 135 delivers the detailed page P61 to the user in response to the generation of the detailed page P61 by which the evaluation information is displayed by the generation unit 134. Accordingly, the information processing apparatus 100 can force the user to browse this information, for example, when there is information to be checked (a word-of-mouth in this example) before the user purchases a product. In addition, it is possible to enhance the convenience when purchasing a product, and it is possible to perform information suggestion in which the intention of the user's action is highly accurately taken into consideration.

[3-5. Narrowed search by user (1)]
Further, when the search information indicating that the user has performed the narrowing search using the condition regarding the specifications of the transaction target is acquired in the series of actions of the user until reaching the content, the determining unit 133, The target information indicating the transaction target related to the transaction target and having the above specifications is determined as the recommended information.

  For example, in the series of actions leading to the detail page P71, the user U1 immediately before reaching the detail page P71 of the product X81, which is a shoe, has the shoe specifications such as “size 26.0 to 27.0”. It is assumed that the search is narrowed down by selecting "". Further, it is assumed that the user U1 transmits the distribution request for the detailed page P71 by selecting the product X81, which is one of the search results, from the search results corresponding to the narrowed search. Then, the determination unit 133 obtains an analysis result that the action is performed with the intention of “I want shoes of size 26.0 to 27.0” by analysis. Therefore, the determination unit 133 determines the target information indicating the product of “size 26.0 to 27.0” among the products belonging to the category “shoes” as the recommended information.

  In addition, the presentation unit 135 delivers the detailed page P71 to the user in response to the generation of the detailed page P71 by which the target information is displayed by the generation unit 134. Thereby, the information processing apparatus 100 can, for example, improve the convenience of information search and can make information suggestion in which the intention of the user's action is highly accurately taken into consideration.

  In addition, the determination unit 133 may determine, as the recommended information, the target information indicating the transaction target for which inventory exists among the target information indicating the transaction target for the above specifications. For example, the determination unit 133 determines, as the recommended information, target information indicating a product of “size 26.0 to 27.0” that is currently in stock among the products belonging to the category “shoes”.

[3-6. Narrowed search by user (2)]
Further, when the determination unit 133 obtains search information indicating that the user has performed a narrow-down search using the condition regarding the price range of the transaction target, in the series of actions of the user until reaching the content. , Object information indicating a transaction object related to the transaction object and in the above price range is determined as recommended information.

  For example, in the series of actions leading to the detail page P71, the user U1 immediately before reaching the detail page P71 of the product X81, which is shoes, has a price of the seeds of, for example, “5,000 yen to 10,000 yen”. It is assumed that the search is narrowed down by selecting "yen". Further, it is assumed that the user U1 transmits the distribution request for the detailed page P71 by selecting the product X81, which is one of the search results, from the search results corresponding to the narrowed search. Then, the determination unit 133 obtains an analysis result that the action is performed with the intention of "I want shoes of 5,000 to 10,000 yen" by analysis. Therefore, the determination unit 133 determines, as the recommended information, the target information indicating the products of “5,000 yen to 10,000 yen” among the products belonging to the category “shoes”.

  In addition, the presentation unit 135 delivers the detailed page P71 to the user in response to the generation of the detailed page P71 by which the target information is displayed by the generation unit 134. Thereby, the information processing apparatus 100 can, for example, improve the convenience of information search and can make information suggestion in which the intention of the user's action is highly accurately taken into consideration.

[3-7. Recommendation according to query change)
In addition, the determination unit 133 determines that the user has changed the predetermined search query to another search query related to the predetermined search query and performed the search in the series of actions of the user until reaching the content. When the indicated search information is acquired, the search result corresponding to the changed search query is determined as the recommended information.

  For example, in the series of actions up to the detail page P81, the user U1 searches for "sneakers" as a search query, and then changes the search query to "sneaker white" to further narrow down the search results. Then, it is assumed that the search is performed again. Then, the determination unit 133 obtains an analysis result that the action is performed with the intention of “I want white sneakers” by analysis. Therefore, the determination unit 133 determines the target information indicating the product of the color “white or white system” among the products belonging to the category “sneaker” as the recommended information.

  In addition, the presentation unit 135 delivers the detailed page P81 to the user in response to the generation of the detailed page P81 by which the target information is displayed by the generation unit 134. Thereby, the information processing apparatus 100 can, for example, improve the convenience of information search and can make information suggestion in which the intention of the user's action is highly accurately taken into consideration.

[3-8. About terminal device]
In the above-described embodiment, the example in which the information processing device 100 distributes the content including the recommended information has been described. However, when the information processing apparatus 100 transmits the recommended information together with the content (in the state where the recommended information and the content are not integrated), the terminal device 10 inserts the recommended information into the content, and thus the recommended information is inserted. You may present the content containing.

[4. Hardware configuration]
The information processing apparatus 100 according to the above embodiment is realized by, for example, a computer 1000 configured as shown in FIG. 7. FIG. 7 is a hardware configuration diagram showing an example of a computer 1000 that realizes the functions of the information processing apparatus 100. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program dependent 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 another device via the communication network 50, sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to another device via the communication network 50.

  The CPU 1100 controls output devices such as a display and a printer and input devices 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. The CPU 1100 also outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) and a 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 information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the RAM 1200. Further, the HDD 1400 stores the data in the storage unit 120. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via the communication network 50.

[5. Other]
Further, each constituent element of each illustrated device 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 a part of the device may be functionally or physically distributed / arranged in arbitrary units according to various loads or usage conditions. It can be integrated and configured.

  As described above, the embodiments of the present application have been described in detail based on some 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.

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

1 Information Processing System 10 Terminal Device 100 Information Processing Device 120 Storage Unit 121 Behavior Information Storage Unit 130 Control Unit 131 Accepting Unit 132 Acquisition Unit 133 Determining Unit 134 Generating Unit 135 Presenting Unit

Claims (17)

A reception unit that receives a content distribution request from a user,
Presented to the user as process information indicating a process of an action history, which is a series of actions performed by the user immediately before reaching the content, based on browsing information indicating a sequence of browsing actions immediately before reaching the content. And a deciding part for deciding a presented object which is a traded object,
In the series of actions immediately before the browsing information reaches the content, the determination unit indicates that the transaction object of the same type that has been browsed is indicated when the transaction object of the same type is continuously browsed. An information processing apparatus, characterized in that by determining as the presentation target, list information for comparing the browsed transaction targets of each other is determined as recommended information to be presented to the user. A reception unit that receives a content distribution request from a user,
Presented to the user as process information indicating a process of an action history, which is a series of actions performed by the user immediately before reaching the content, based on search information indicating a sequence of search actions immediately before reaching the content. And a deciding part for deciding a presented object which is a traded object,
In the case where the determination unit indicates that a coupon has been acquired in the series of actions of the user immediately before the search information reaches the content, a transaction related to the transaction target of the content is performed. An information processing apparatus, characterized in that among the objects, a transaction object to which the coupon can be applied is determined as the presentation object. As the process information, the determining unit selects the presentation target based on process information indicating a process of an action history, which is a series of actions of the user in the service used immediately before the user receives the provision of the content. the information processing apparatus according to claim 1 or 2, characterized in that the determining. If the user has reached the content after using the series of services immediately before receiving the provision of the content, the determination unit may perform a series of operations over the plurality of services as the process information. The information processing apparatus according to claim 3 , wherein the presentation target is determined based on process information indicating a process of an action history that is the action of. The information processing apparatus according to claim 2 , wherein the determining unit determines, as the process information, the presentation target based on browsing information indicating a series of browsing actions immediately before reaching the content. .. If the transaction information belonging to a predetermined category is browsed in a series of actions immediately before the browsing information reaches the content, the determination unit determines another transaction object belonging to the predetermined category. The information processing apparatus according to claim 1 or 5 , wherein is determined as the presentation target. The determining unit, as the process information, on the basis of the search information indicating the process of a series of search behavior immediately before reaching the content, the information processing apparatus according to claim 1, characterized in that to determine the presentation object .. When the determination unit indicates that the search is performed using the search query in the series of actions immediately before the search information reaches the content, the determination unit narrows down the search result using a predetermined condition. The information processing apparatus according to claim 2 , wherein the search result of is determined as the presentation target. When the determination unit indicates that a search is performed using a search query in a series of actions immediately before the search information reaches the content, the specification of the transaction target corresponding to the search result, the Presenting the search results after narrowing down from the search results using a search query that is conditional on at least one of a model related to the trade objects corresponding to the search results or a manufacturer related to the trade objects corresponding to the search results The information processing apparatus according to claim 8 , wherein the information processing apparatus is determined as a target. The determination unit is related to the transaction object when the search information indicates that the narrowed search is performed using the condition regarding the specification of the transaction object in the series of actions immediately before reaching the content. the information processing apparatus according to any one of claims 7-9, characterized in that to determine the trading target of the specification as the presentation object to a traded. The determining unit, among the object information indicating an object of trading the specification a transaction object associated with the transaction subject to claim 10, wherein determining a transaction object existing inventory as the presentation object The information processing device described. When the determination unit indicates that the narrowed search is performed using the condition regarding the price range of the transaction target in the series of actions immediately before the search information reaches the content, the transaction related to the transaction target is performed. the information processing apparatus according to any one of claims 7 to 11, characterized by determining the object of trading the price a subject as the presentation subject. In the case where the determination unit indicates that a search is performed by changing from a predetermined search query to another search query related to the search query in a series of actions immediately before the search information reaches the content. the information processing apparatus according to any one of claims 7 to 12, wherein determining the search results corresponding to the search query the changed as the presentation subject. An information processing method executed by an information processing device, comprising:
A reception process for receiving a content distribution request from a user,
Presented to the user as process information indicating a process of an action history, which is a series of actions performed by the user immediately before reaching the content, based on browsing information indicating a sequence of browsing actions immediately before reaching the content. And a decision step of deciding a presented object which is a traded object,
In the determination step, if the transaction information of the same type is continuously browsed in the series of actions immediately before the browsing information reaches the content, the transaction object of the same type browsed is browsed. An information processing method, characterized in that, by determining as the presentation target, list information for comparing the browsed transaction targets of the same type is determined as recommended information to be presented to the user. An information processing method executed by an information processing device, comprising:
A reception process for receiving a content distribution request from a user,
Presented to the user as process information indicating a process of an action history, which is a series of actions performed by the user immediately before reaching the content, based on search information indicating a sequence of search actions immediately before reaching the content. And a decision step of deciding a presented object which is a traded object,
In the determination step, when the search information indicates that a coupon has been acquired in the series of actions of the user immediately before reaching the content, the transaction related to the transaction target of the content. An information processing method, wherein among the objects, a transaction object to which the coupon is applicable is determined as the presentation object. A reception procedure for receiving content distribution requests from users,
Presented to the user as process information indicating a process of an action history, which is a series of actions performed by the user immediately before reaching the content, based on browsing information indicating a sequence of browsing actions immediately before reaching the content. The computer to execute the decision procedure for deciding the presentation target that is the transaction target,
In the determination procedure, when the transaction information of the same type is continuously browsed in the series of actions immediately before the browsing information reaches the content, the transaction object of the browsed same type is selected. An information processing program, wherein the list information for comparing the browsed transaction objects of the same type is determined as recommended information to be presented to the user by determining as the presentation object. A reception procedure for receiving content distribution requests from users,
Presented to the user as process information indicating a process of an action history, which is a series of actions performed by the user immediately before reaching the content, based on search information indicating a sequence of search actions immediately before reaching the content. The computer to execute the decision procedure for deciding the presentation target that is the transaction target,
In the determination procedure, when the search information indicates that a coupon has been acquired in the series of actions of the user immediately before reaching the content, the transaction related to the transaction target of the content. An information processing program, characterized in that among the objects, a transaction object to which the coupon can be applied is determined as the presentation object.

Images