JP2018156187A - Creation device, creation method, and creation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately create a model for predicting whether, when a content is displayed on a terminal device, a user performs a predetermined behavior to the content.SOLUTION: A creation device according to the present application comprises an acquisition part and a creation part. The acquisition part acquires selection information on a user's selection of a plurality of options displayed together with a content on a terminal device used by the user, the plurality of options by which predetermined processing on the content is executed according to the user's selection. The creation part creates a model for predicting whether, when the content is displayed on the terminal device, the user performs a predetermined behavior to the content on the basis of the selection information acquired by the acquisition part.SELECTED DRAWING: Figure 3

Description

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

  Conventionally, techniques for providing various kinds of information to users have been provided. For example, a technique for predicting a predetermined demand using a model is provided. For example, a technique related to push notification that actively notifies a user of predetermined information is known.

JP, 2006-197444, A

  However, in the above-described conventional technology, it may be difficult to appropriately generate a model for predicting whether the user performs a predetermined action on the content when the content is displayed on the terminal device. For example, it is difficult to generate a model that predicts whether a user performs a predetermined action on content when the content is displayed on the terminal device only by performing a push notification to the user.

  The present application has been made in view of the above, and a generation device, a generation method, and a method for appropriately generating a model for predicting whether a user performs a predetermined action on content when the content is displayed on a terminal device, and An object is to provide a generation program.

  The generation apparatus according to the present application is a plurality of options displayed together with content on a terminal device used by a user, and the user's selection of a plurality of options for performing predetermined processing related to the content according to the user's selection Based on the selection information acquired by the acquisition unit and the selection information acquired by the acquisition unit, when the content is displayed on the terminal device, the user predicts whether to perform a predetermined action on the content And a generation unit for generating a model.

  According to the aspect of the embodiment, it is possible to appropriately generate a model that predicts whether the user performs a predetermined action on the content when the content is displayed on the terminal device.

FIG. 1 is a diagram illustrating an example of a generation process according to the embodiment. FIG. 2 is a diagram illustrating an example of display processing according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the generation apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of a user information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the behavior information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a content information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of the option information storage unit according to the embodiment. FIG. 8 is a diagram illustrating an example of a model information storage unit according to the embodiment. FIG. 9 is a diagram illustrating a configuration example of the terminal device according to the embodiment. FIG. 10 is a flowchart illustrating an example of display processing according to the embodiment. FIG. 11 is a flowchart illustrating an example of the generation process according to the embodiment. FIG. 12 is a diagram illustrating an example of display on the terminal device according to the embodiment. FIG. 13 is a diagram illustrating an example of display on the terminal device according to the embodiment. FIG. 14 is a diagram illustrating an example of display on the terminal device according to the embodiment. FIG. 15 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the generation device and the terminal device.

  Hereinafter, a generation apparatus, a generation method, and a mode for executing a generation program (hereinafter referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. Note that the generation device, the generation method, and the generation 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)
[1-1. Generation process)
First, an example of the generation process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a generation process according to the embodiment. In the example of FIG. 1, a case where the generation apparatus 100 generates a model corresponding to a plurality of options that are displayed on the terminal apparatus 10 together with content and accepts designation of a user who uses the terminal apparatus 10 for the content is illustrated. As shown in FIG. 1, the option is displayed on the terminal device 10 in order to accept a user operation corresponding to the content. The plurality of options include a subjective option that is an option indicating the subjective evaluation of the user. For example, a user's subjective evaluation is a negative evaluation that the user is not required because the display timing of the content is bad, or a positive evaluation that the display timing of the content is appropriate. Or the like. Further, for example, the user's subjective evaluation may be information suggesting what kind of emotion (evaluation) the user has for the content.

  As illustrated in FIGS. 1 and 2, the information processing system 1 includes a terminal device 10 and a generation device 100. The terminal device 10 and the generation device 100 are connected to be communicable by wire or wireless via a predetermined communication network (not shown). Note that the information processing system 1 illustrated in FIG. 1 may include a plurality of terminal devices 10 and a plurality of generation 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. FIG. 1 shows a case where the terminal device 10 is a smartphone.

  The terminal device 10 has a function such as a GPS (Global Positioning System) sensor, and can detect and acquire the position of the user. Further, the terminal device 10 may have various functions such as a temperature sensor and an atmospheric pressure sensor, and may be able to detect and acquire environmental information where the user is placed such as temperature and atmospheric pressure. Moreover, the terminal device 10 may have various functions such as a heart rate sensor, and may be able to detect and acquire a user's biological information. For example, a user using the terminal device 10 may acquire a user's own context information by the terminal device 10 by wearing a wearable device that can communicate with the terminal device 10. For example, a user who uses the terminal device 10 wears a wristband type wearable device that can communicate with the terminal device 10, and the terminal device 10 acquires information on the user's own heartbeat (pulse) by the terminal device 10. It may be possible.

  The terminal device 10 displays content provided from an external device. For example, the terminal device 10 displays content and a plurality of options including a subjective option that is an option indicating a subjective evaluation of a user who uses the terminal device 10 for the content.

  In addition, the terminal device 10 transmits various information and the like to the generation device 100. Further, the terminal device 10 acquires information related to the user's selection (hereinafter also referred to as “selection information”) in response to an operation on the user's option. The terminal device 10 transmits the acquired selection information to the generation device 100.

  Also, the terminal device 10 acquires user context information. For example, the terminal device 10 transmits user context information to the generation device 100. For example, the terminal device 10 transmits input information such as postings by the user, behavior information such as information related to a search query used by the user for search, and the like to the generation device 100 as user context information.

  The user context information here (hereinafter also simply referred to as “context information”) is, for example, information indicating the user context. For example, the context means the situation of the user U1 estimated based on the situation of the user U1 and the terminal device 10 and the environment (background) of the user U1 and the terminal device 10. 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. Various information such as the user's exercise state and the estimated user's emotion are included. Further, the context may be a psychological state of the user U1 estimated based on the situation of the user U1 or the terminal device 10 or the environment (background) of the user U1 or the terminal device 10.

  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. The terminal device 10 receives various operations by the user.

  Hereinafter, the user identified by the user ID “U1” may be referred to as “user U1”. Thus, hereinafter, when “user U * (* is an arbitrary numerical value)” is described, this indicates that the user is a user identified by the user ID “U *”. For example, when “user U2” is described, the user is a user identified by the user ID “U2”.

  In FIG.1 and FIG.2, the user U1-U5 shows the case where each uses terminal device 10-1 to 10-5. In addition, when demonstrating without distinguishing terminal device 10-1 to 10-5, it is named the terminal device 10 generically.

  The generation apparatus 100 is a plurality of options displayed together with the content on the terminal device 10 used by the user, and selection information regarding the user's selection of a plurality of options for which predetermined processing related to the content is executed according to the user's selection Is an information processing apparatus for acquiring For example, the generation device 100 is an information processing device that generates a model that predicts whether a user performs a predetermined action on content when the content is displayed on the terminal device 10 based on selection information. For example, the generation device 100 generates a model that predicts whether the user selects (designates) each option when the option is displayed together with the content. Further, the generation device 100 provides predetermined content to the terminal device 10. For example, the generation device 100 provides the terminal device 10 with content including a plurality of options that can be specified by the user using the terminal device 10.

  For example, the generation device 100 acquires selection information indicating that a user using the terminal device 10 has selected an option. Further, for example, the generation apparatus 100 acquires user context information when the user using the terminal apparatus 10 selects an option.

  For example, the generation device 100 may acquire context information of a user who uses the terminal device 10 from the terminal device 10 or an external device that provides a predetermined service. For example, the generation device 100 may acquire action information of a user who uses the terminal device 10 as context information. For example, the generation device 100 may acquire information posted by a user using the terminal device 10 on Twitter (registered trademark), Facebook (registered trademark), or the like from the terminal device 10 or a predetermined external device. For example, the generation apparatus 100 acquires information related to a search query (hereinafter also simply referred to as “query”) used by a user using the terminal apparatus 10 in a predetermined search service from the terminal apparatus 10 or an external apparatus that provides the search service. May be.

  For example, the generation device 100 may estimate the user context based on the user behavior information and the like. For example, the generation device 100 may estimate the situation of the user based on various behavior information such as the user's position information and content browsing. For example, the generation apparatus 100 may estimate the user's situation based on various action history information such as the user's position history information and content browsing. For example, if the user has a tendency to view content related to sports at night, and the time point of context estimation is night, the generation apparatus 100 estimates that the user is highly likely to browse content related to sports. May be. In addition, for example, when the position of the user is within a predetermined range from the position where the user has browsed the content related to the economy in the past, the generation apparatus 100 has a context in which the user is highly likely to browse the content related to the economy. It may be estimated. Note that the above is an example, and the generation apparatus 100 may estimate various contexts based on various information and the like.

  From here, the case where the production | generation apparatus 100 produces | generates the model corresponding to each choice based on a user's selection information is demonstrated using FIG.

  First, the generation device 100 provides the content CT11 to the terminal device 10-1 used by the user U1 (step S11-1). Thus, when “content CT * (* is an arbitrary numerical value)” is described, it indicates that the content is content identified by the content ID “CT *”. For example, when “content CT12” is described, the content is the content identified by the content ID “CT12”.

  In the example of FIG. 1, the generation device 100 provides the content CT11 to the terminal device 10-1. For example, the generation device 100 pushes the content CT11 to the terminal device 10-1. For example, the push notification may be information output from the terminal device 10 regardless of the operation of the terminal device 10 by the user. Thus, the generation apparatus 100 actively notifies the user of predetermined information by push notification.

  Thereby, the content CT11 is displayed on the terminal device 10-1. The content CT11 is content related to the shopping service SV11, and details are described in FIG. Note that the generation apparatus 100 may randomly notify the terminal apparatus 10 of content in order to acquire information for generating a model. For example, the generation device 100 may notify the terminal device 10 of content at random. Further, for example, the generation device 100 may notify the terminal device 10 of content at a random time. Further, as illustrated in FIG. 2, the generation device 100 may determine timing using a model and notify the content to the terminal device 10.

  Here, the generation device 100 provides a predetermined number of options among the plurality of options stored in the option information storage unit 124 illustrated in FIG. 7 to the terminal device 10-1 together with the content CT11. In the example of FIG. 1, the generation device 100 provides the terminal device 10-1 with three options CH11, options CH12, and options CH13 together with the content CT11.

  Thus, when “option CH * (* is an arbitrary numerical value)” is described, it indicates that the option is an option identified by the option ID “CH *”. For example, when “option CH12” is described, the option is an option identified by the option ID “CH12”.

  In the example of FIG. 1, the option CH11 described as “display” is displayed on the terminal device 10-1 together with the content CT11. For example, when the option CH11 is selected, detailed information corresponding to the content CT11 is displayed.

  In the example of FIG. 1, the terminal device 10-1 displays the option CH12 described as “erasure” together with the content CT11. For example, when the option CH12 is selected, the display of the push notification of the content CT11 is deleted and the content CT11 is not displayed.

  In the example of FIG. 1, the terminal device 10-1 displays the option CH13 in which “unnecessary” is described together with the content CT11. For example, when the option CH13 is selected, the display of the push notification of the content CT11 is deleted, and the content CT11 is not displayed. The option CH13 is an option indicating the subjective evaluation of the user that the user feels that notification of the content CT11 is unnecessary. Therefore, when the option CH13 is selected, the push notification of the content CT11 is suppressed from being performed for a predetermined period (for example, one month or one year).

  In the example of FIG. 1, the user U1 selects the option CH13. Thus, the user U1 evaluates that the notification of the content CT11 is unnecessary by selecting the option CH13. For example, the user U1 selects the option CH13 by touching the portion of the terminal device 10 on which the option CH13 is displayed with the finger F1. In response to this, the terminal device 10-1 acquires selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection (step S12-1). Then, the terminal device 10-1 transmits selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection to the generation device 100.

  And the production | generation apparatus 100 acquires the selection information which shows that the user U1 selected the choice CH13, and the context information of the user U1 at the time of selection (step S13-1). In the example of FIG. 1, the generation apparatus 100 acquires selection information indicating that the user U1 has selected the option CH13 and context information CN12 of the user U1 at the time of selection. That is, the generating apparatus 100 acquires selection information indicating that the information provision was inappropriate for the user U1 because the notification timing of the content CT11 pushed to the user U1 is bad. Further, the generation device 100 acquires context information CN12 when the user U1 feels that the content CT11 is unnecessary.

  Further, the generation device 100 provides content to the terminal device 10-2 used by the user U2 (step S11-2). In the example of FIG. 1, the generation device 100 provides the content CT12 to the terminal device 10-2. For example, the generation device 100 pushes the content CT12 to the terminal device 10-2.

  Thereby, the content CT12 is displayed on the terminal device 10-2. The content CT12 is content related to the schedule service SV12, and details are described in FIG.

  Here, the generation device 100 provides a predetermined number of options among the plurality of options stored in the option information storage unit 124 illustrated in FIG. 7 to the terminal device 10-2 together with the content CT12. In the example of FIG. 1, the generation apparatus 100 provides the terminal device 10-2 with three options CH11, options CH12, and options CH13 together with the content CT12.

  In the example of FIG. 1, option CH11 described as “display” is displayed on terminal device 10-2 together with content CT12. In the example of FIG. 1, the terminal device 10-2 displays the option CH12 in which “Erase” is written together with the content CT12. In the example of FIG. 1, the terminal device 10-2 displays the option CH13 described as “unnecessary” together with the content CT12.

  In the example of FIG. 1, the user U2 selects the option CH11. Thus, the user U2 displays the details of the content CT12 by selecting the option CH11. For example, the user U2 selects the option CH11 by touching the portion where the option CH11 of the terminal device 10 is displayed with the finger F2. In response to this, the terminal apparatus 10-2 acquires selection information indicating that the user U2 has selected the option CH11 and context information of the user U2 at the time of selection (step S12-2). Then, the terminal apparatus 10-2 transmits selection information indicating that the user U2 has selected the option CH11 and context information of the user U2 at the time of selection to the generation apparatus 100.

  And the production | generation apparatus 100 acquires the selection information which shows that the user U2 selected the choice CH11, and the context information of the user U2 at the time of selection (step S13-2). In the example of FIG. 1, the generation apparatus 100 acquires selection information indicating that the user U2 has selected the option CH11 and context information CN22 of the user U2 at the time of selection. That is, the generation apparatus 100 acquires selection information indicating that the user U2 has provided information appropriate for the user U2 because the user U2 desires the details of the content CT12 that has been pushed to the user U2. In addition, the generation device 100 acquires context information CN22 when the user U2 desires details of the content CT12.

  Note that steps S11-1 to S11-2 are for explaining the processing, and any of steps S11-1 to S11-2 may be performed first, and each step S11-1 to S11-2 may be performed. May be performed multiple times. Hereinafter, when the steps S11-1 to S11-2 are described without distinction, they are collectively referred to as step S11. Steps S12-1 to S12-2 are for explaining the processing. If each of the steps S12-1 to S12-2 is after the corresponding step S11, any of steps S12-1 to S12-2 is performed first. Each step S12-1 to S12-2 may be performed a plurality of times. Hereinafter, when it demonstrates without distinguishing step S12-1-S12-2, it will be named step S12 generically. For example, selection information and context information may be acquired by performing step S12 each time step S11 is performed. Further, for example, each step S11 may be performed a plurality of times, and step S12 may be performed at a predetermined timing to obtain selection information and context information.

  Steps S13-1 to S13-2 are for explaining the processing. If each of the steps S13-1 to S13-2 is after the corresponding step S12, any of steps S13-1 to S13-2 is performed first. Each step S13-1 to S13-2 may be performed a plurality of times or may be performed at a predetermined timing. Hereinafter, when the steps S13-1 to S13-2 are described without distinction, they are collectively referred to as step S13.

  And the production | generation apparatus 100 collects the log | history of action information including the content provision to a user, the user's selection information, context information, etc. (step S14). For example, the generation device 100 stores a history of behavior information in the behavior information storage unit 122.

  “User ID” shown in the behavior information storage unit 122 in FIG. 1 indicates identification information for identifying a user. For example, the user identified by the user ID “U1” corresponds to the user U1 in FIG. Further, the “behavior ID” shown in the behavior information storage unit 122 in FIG. 1 indicates information for identifying the user's behavior.

  Hereinafter, the action identified by the action ID “AC11” may be referred to as “action AC11”. Thus, hereinafter, when “behavior AC * (* is an arbitrary numerical value)” is described, it indicates that the action is an action identified by the action ID “AC *”. For example, when “action AC12” is described, the action is an action identified by the action ID “AC12”. In the following, the action information corresponding to “behavior AC * (* is an arbitrary numerical value)” may be described as “behavior information AC * (* is an arbitrary numerical value)”. For example, when “behavior information AC12” is described, the behavior information is behavior information corresponding to the behavior identified by the behavior ID “AC12”.

  Further, the “type” shown in the behavior information storage unit 122 in FIG. 1 indicates information regarding the type of action of the corresponding user. Further, the “content” shown in the behavior information storage unit 122 in FIG. 1 indicates the content targeted in the corresponding user's behavior. The “context information” shown in the behavior information storage unit 122 in FIG. 1 indicates information related to the context when the corresponding user's behavior is performed. The “date and time” shown in the behavior information storage unit 122 in FIG. 1 indicates the date and time when the corresponding user's action was performed. The “date and time” is abstractly illustrated as “dt11” or the like, but a specific date and time such as “February 28, 2017 22:36:42” may be stored.

  For example, in the example of FIG. 1, it shows that the user U1 performed action AC11, action AC12, etc. Specifically, in the example of FIG. 1, the user U1 indicates that the content CT11 is browsed at the date dt11. Further, the context when the user U1 browses the content CT11 indicates that the context information CN11. For example, the action AC11 indicates that the content CT11 is provided by push notification to the terminal device 10 used by the user U1 at the date dt11. In the example of FIG. 1, the user U1 indicates that the user U1 has selected the option CH13 in the content CT11 at the date dt12 after browsing the content CT11 at the date dt11. In addition, the context when the user U1 selects the option CH13 is the context information CN12.

  Then, the generation apparatus 100 uses the information stored in the user information storage unit 121, the information stored in the behavior information storage unit 122, and the information stored in the content information storage unit 123 (see FIG. 6) to generate a model. Generate (step S15). In the example of FIG. 1, as illustrated in the model information storage unit 125, the generation apparatus 100 generates models M1 to M3 and the like corresponding to the options CH11 to CH13 and the like.

  The models M1 to M3 and the like shown in the model information storage unit 125 in FIG. 1 store the options identified by the option ID in association with each other. In addition, the models M1 to M3 and the like shown in the model information storage unit 125 in FIG. 1 store the respective weights (values) such as “feature 1” to “feature 3” in association with each other.

  For example, in the example of FIG. 1, the model information regarding the model M1 indicates that the model corresponds to the option CH11 in which “display” is displayed. Further, for example, in the example of FIG. 1, the model information related to the model M2 indicates that the model corresponds to the option CH12 in which “delete” is displayed. Further, for example, in the example of FIG. 1, the model information regarding the model M3 indicates that the model corresponds to the option CH13 in which “unnecessary” is displayed.

  For example, in the example illustrated in FIG. 1, the model information regarding the model M1 includes feature 1 weight “0.5”, feature 2 weight “−0.4”, feature 3 weight “0.2”, and the like. Indicates that Each model may be generated using various conventional techniques relating to machine learning as appropriate. For example, the model generation may be performed using a technique related to machine learning of supervised learning such as SVM (Support Vector Machine). Further, for example, the model generation may be performed using a technique related to machine learning of unsupervised learning. For example, the generation of the model may be performed using a deep learning technique. For example, the model generation may be performed by appropriately using various deep learning techniques such as DNN (Deep Neural Network), RNN (Recurrent Neural Network), and CNN (Convolutional Neural Network). The description relating to the generation of the model is merely an example, and the generation of the model may be performed by a learning method appropriately selected according to information that can be acquired.

  For example, the generating apparatus 100 generates a model using user attribute information stored in the user information storage unit 121. For example, the generation device 100 generates a model using selection information and context information stored in the behavior information storage unit 122. For example, the generating apparatus 100 generates a model using information related to content (hereinafter also referred to as “content information”) stored in the content information storage unit 123 (see FIG. 6). The content information here may include various information such as content notification content, character information, images, moving images, and target services.

  For example, the generation apparatus 100 uses the content information of the content provided to the user, the attribute information of the user who has selected the option shown in the selection information, and the user context information when the option shown in the selection information is selected as correct information. Generate a model. For example, when the user U3 (see FIG. 4) selects the option CH12 displayed together with the content CT11, the generation apparatus 100 selects the content information of the content CT11, the attribute information of the user U3, and the user U3 selects the option CH12. The model M2 corresponding to the option CH12 is generated using the context information of the user U3 at that time as correct information.

  For example, the generation apparatus 100 outputs a high score when content information of the content CT11, attribute information of the user U3, or context information of the user U3 when the user U3 selects the option CH12 is input. A model M2 is generated. Note that the generation apparatus 100 generates a model by appropriately using the various learning methods described above.

  As described above, when the generation apparatus 100 generates a model, for example, when a score output from one model to which context information or user attribute information is input is large, an option corresponding to the one model is selected by the user. It is likely to be done. Specifically, when the score output by one model is large, when the option corresponding to the one model is displayed together with the content for the user corresponding to the input attribute information and context information, the option is Indicates that the user is likely to be selected.

  For example, if the score output by the model M1 to which the content information of the content CT11, the attribute information of the user U1 and the context information is input is small (for example, less than 0.5), the option CH11 corresponding to the model M1 is selected by the user U1. Indicates that it is unlikely that Specifically, when the score output by the model M1 is small, the option CH11 may be selected by the user U1 when the option CH11 is displayed together with the content CT11 for the user U1 in the context corresponding to the context information. Is low. For example, when the above context information indicates that the context related to the business such as the user U1 is located at the work place, the user U1 is highly likely not to display the details of the content CT11 in the context regarding the business. It shows that. In this case, the generation apparatus 100 can determine that it is not appropriate to push the content CT11 to the user U1 in a business-related context.

  For example, when the score output from the model M3 to which the content information of the content CT11, the attribute information of the user U1 and the context information is output is large (for example, 0.5 or more), the option CH13 corresponding to the model M3 is the user U1. Indicates a high possibility of being selected. Specifically, when the score output by the model M3 is large, the option CH13 may be selected by the user U1 when the option CH13 is displayed together with the content CT11 for the user U1 in the context corresponding to the context information. Is high. For example, when the above-described context information indicates a business context such as the user U1 located at a work place, the user U1 indicates that the content CT11 is likely to be unnecessary in the business context. In this case, the generation apparatus 100 can determine that the user U1 is inappropriate as a timing at which the business-related context pushes the content CT11.

  For example, if the score output by the model M1 to which the content information of the content CT11, the attribute information of the user U2 and the context information is input is large (for example, 0.7 or more), the option CH11 corresponding to the model M1 is selected by the user U2. It is likely to be done. Specifically, when the score output by the model M1 is large, the option CH11 may be selected by the user U2 when the option CH11 is displayed together with the content CT11 for the user U2 in the context corresponding to the context information. Is high. For example, when the above context information indicates that the context is related to private such as the user U2 being at home, the user U2 is likely to desire to display details of the content CT11 in the context related to private. Indicates. In this case, the generation apparatus 100 can determine that it is appropriate to push the content CT11 to the user U2 in the context regarding the private.

  For example, when the score output by the model M2 to which the content information of the content CT11, the attribute information of the user U2 and the context information is input is small (for example, less than 0.7), the option CH12 corresponding to the model M2 is the user U2. Indicates that it is unlikely to be selected. Specifically, when the score output from the model M2 is small, the option CH12 may be selected by the user U2 when the option CH12 is displayed together with the content CT11 for the user U2 in the context corresponding to the context information. Is low. For example, if the above-described context information indicates that the context is related to private such as the user U2 is located at home, the user U2 indicates that the possibility of erasing the content CT11 in the context related to private is low. In this case, the generation apparatus 100 can determine that the context regarding the private is not inappropriate for the user U2 as the timing to push the content CT11.

  As described above, the generation apparatus 100 generates a model corresponding to each option based on user selection information and context information. And the production | generation apparatus 100 can provide a content at an appropriate timing by determining the timing which provides a content using the produced | generated model. Further, the generation apparatus 100 is a plurality of options for performing predetermined processing related to content according to the user's selection, and includes selection information regarding the user's selection of a plurality of options including an option indicating an evaluation of the user's content. By using it, it is possible to acquire information used for model generation while accepting user's processing designation.

[1-2. Display processing)
Next, an example of display processing according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of display processing according to the embodiment. FIG. 2 shows a case where the user is the user U5. In FIG. 2, an example will be described in which the generation apparatus 100 has acquired user information related to the user attribute of the user U5.

  In the example of FIG. 2, the generation device 100 provides content to the terminal device 10 using information as shown in the content information storage unit 123.

  “Content ID” shown in the content information storage unit 123 in FIG. 2 indicates identification information for identifying the content. “Content” shown in the content information storage unit 123 in FIG. 2 indicates content corresponding to each target service. Further, the “target service” shown in the content information storage unit 123 in FIG. 2 indicates a service targeted by the content. Further, “content” shown in the content information storage unit 123 in FIG. 2 indicates specific details notified to the user by the corresponding content. The “option setting information” shown in the content information storage unit 123 in FIG. 2 includes items such as “number” and “option”. Further, “number” shown in the content information storage unit 123 in FIG. 2 indicates the number of options provided together with the content. Also, “option” shown in the content information storage unit 123 in FIG. 2 indicates information for identifying an option provided together with the content.

  In the example of FIG. 2, the A content (content CT11) identified by the content ID “CT11” indicates that the target service is the shopping service SV11. The content CT11 is a content indicating that the registered product of the user has been exhibited in the shopping service SV11. Further, the content CT11 is provided with three options. In addition, the options provided together with the content CT11 indicate the options CH11, CH12, and CH13.

  In the example of FIG. 2, the B content (content CT12) identified by the content ID “CT12” indicates that the target service is the schedule service SV12. The content CT12 is a content indicating that the notification content is set in the schedule service SV12. In addition, the content CT12 indicates that it is provided with three options. Further, the options provided together with the content CT12 indicate that the option CH11, the option CH12, and the option CH13.

  In the example of FIG. 2, the generation device 100 acquires information indicating that the product that the user U5 has added to the watch list or the like has been exhibited from an external device that provides the shopping service SV11 used by the user U5. And Therefore, the generation device 100 determines that there is the content CT11 as information to be notified to the user U5 (step S21). Note that the generation device 100 may provide the shopping service SV11. And the production | generation apparatus 100 acquires the attribute information of the user U5 (step S22). For example, the generation device 100 acquires user information such as attribute information of the user U5 from the user information storage unit 121.

  Further, the generation device 100 acquires the context information of the user U5 (Step S23). For example, the generation device 100 acquires the context information CN51 of the user U5 from the terminal device 10 used by the user U5 (Step S23).

  Further, as illustrated in the context list CL11, the generation device 100 collects the context information CN51 of the user U5 (Step S24). For example, the generation device 100 collects the user U5 and the context information CN51 in association with each other. For example, the generation device 100 may store the user U5 and the context information CN51 in the behavior information storage unit 122 in association with each other.

  Then, the generation device 100 inputs various types of information to the models M1 to M3 shown in the model information storage unit 125 (Step S25). For example, the generating apparatus 100 inputs the attribute information of the user U5, the context information CN51 of the user U5, information about the content CT11, and the like to each model M1 to M3.

  Thereby, the generating apparatus 100 causes each model M1 to M3 to output a score (step S26). In the example of FIG. 2, the generation device 100 causes each model M1 to M3 to output a score as shown in the score list SL11. For example, in the example of FIG. 2, the greater the score output by the model, the higher the possibility that the option corresponding to the model is selected by the user.

  For example, when the generation apparatus 100 inputs the attribute information of the user U5, the context information CN51 of the user U5, information about the content CT11, and the like to the model M1 corresponding to the option CH11, the model M1 outputs the score “0.6”. . For example, when the generation apparatus 100 inputs the attribute information of the user U5, the context information CN51 of the user U5, information about the content CT11, and the like to the model M2 corresponding to the option CH12, the model M2 has a score “0.1”. Output. Further, for example, when the generation apparatus 100 inputs the attribute information of the user U5, the context information CN51 of the user U5, information about the content CT11, and the like to the model M3 corresponding to the option CH13, the model M3 has a score of “0.2”. Output.

  The generation apparatus 100 determines the provision timing of the content CT11 based on the score “0.6” of the model M1, the score “0.1” of the model M2, and the score “0.2” of the model M3 (step S27). ). For example, the generation device 100 provides the content when the score of an option that the user desires to select is equal to or greater than a predetermined threshold and the score of the option that the user does not want to select is less than a predetermined threshold. It is determined that the timing is suitable for. In the example of FIG. 2, the predetermined threshold value is “0.5”. The threshold value “0.5” is an example, and the threshold value may be various values.

  Here, since the option CH11 is an option indicating that the user desires to display the details of the content, the option is preferably selected by the user. On the other hand, since the option CH12 is an option indicating that the user desires to erase the display of content, it is an option that the user does not want to select. Further, the option CH13 is an option that indicates that the user feels unnecessary to display the content, and thus is an option that the user does not want to select. As described above, it is desirable that the option CH11 is selected by the user U5, and the options CH12 and CH13 are options that are not desirably selected by the user U5.

  Therefore, in the generation device 100, the score of the model M1 corresponding to the option CH11 is greater than or equal to the threshold “0.5”, and the scores of the models M2 and M3 corresponding to the options CH12 and CH13 are less than the threshold “0.5”. In this case, it is determined that the timing is suitable for providing the content. In the example of FIG. 2, the generation apparatus 100 has a score “0.6” of the model M1 corresponding to the option CH11 being equal to or greater than the threshold “0.5”, and a score “0.1” of the model M2 corresponding to the option CH12. Since the score “0.2” of the model M3 corresponding to the option CH13 is less than the threshold “0.5”, it is determined that the timing is suitable for providing the content CT11.

  Then, the generation device 100 provides the content to the terminal device 10-5 of the user U5 (Step S28). In the example of FIG. 2, the generation device 100 provides the content CT11 to the terminal device 10-5. For example, the generation device 100 pushes the content CT11 to the terminal device 10-5.

  Then, the content CT11 is displayed on the terminal device 10-5 (step S29). For example, on the terminal device 10-5, a predetermined number of options among a plurality of options stored in the option information storage unit 124 (see FIG. 7) are displayed together with the content CT11. In the example of FIG. 2, the terminal device 10-5 displays three options CH11, options CH12, and options CH13 together with the content CT11.

  In the example of FIG. 2, the terminal device 10-5 displays the option CH11 described as “display” together with the content CT11. In the example of FIG. 2, the terminal device 10-5 displays the option CH12 in which “Erase” is written together with the content CT11. In the example of FIG. 2, the terminal device 10-5 displays the option CH13 described as “unnecessary” together with the content CT11. And the terminal device 10-5 acquires selection information and context information according to the selection with respect to the choice CH11, the choice CH12, and the choice CH13 of the user U5. For example, the terminal device 10-5 may store the acquired selection information and context information of the user U5 in the storage unit 12 (see FIG. 9). In addition, the terminal device 10-5 transmits the acquired selection information and context information to the generation device 100.

  For example, when the user U5 selects the option CH11, details of the content CT11 are displayed on the terminal device 10-5. Then, the terminal device 10-5 acquires selection information indicating that the user U5 has selected the option CH11 and context information of the user U5 at the time of selection. Then, the terminal device 10-5 transmits selection information indicating that the user U5 has selected the option CH11 and context information of the user U5 at the time of selection to the generation device 100.

  Then, the generation device 100 acquires selection information indicating that the user U5 has selected the option CH11 and context information of the user U5 at the time of selection. That is, the generation apparatus 100 acquires selection information indicating that the user U5 has provided information appropriate for the user U5 when the user U5 desires the details of the content CT11 that has been pushed to the user U5. Further, the generation apparatus 100 acquires context information when the user U5 desires details of the content CT11. Then, the generation apparatus 100 may generate (update) a model based on the acquired selection information and context information of the user U5.

  As described above, the generation apparatus 100 can provide the content at an appropriate timing by determining the content provision timing using the model and providing the content. In addition to the content, the terminal device 10 displays a plurality of options including a plurality of options for performing predetermined processing related to the content according to the user's selection, including options indicating evaluation of the user's content. The user's evaluation on the content can be acquired while performing the processing on the content. Therefore, the terminal device 10 can easily acquire the user's evaluation for the content.

[1-3. (Options, content)
In the above-described example, the case where the three options CH11 to CH13 are displayed is shown. However, the terminal device 10 may display various types of options. That is, the generation device 100 may provide the terminal device 10 with the number of options and the options varied according to the user and the content.

  For example, the terminal device 10 may display not only three but various numbers of options. For example, the terminal device 10 may display various numbers of options such as two, four, and five. For example, the terminal device 10 may display various options such as the option CH14 (see FIG. 7) and the option CH21 (see FIG. 12) according to the user and the content without being limited to the options CH11 to CH13.

  For example, when providing the content 13 corresponding to the finance service SV13 to the user, the generation apparatus 100 may provide an option CH14 displayed as “transaction”. In this case, the terminal device 10 displays the option CH14 in which “transaction” is written together with the content CT13. For example, when the option CH14 is selected by the user, a stock transaction screen provided by the finance service SV13 corresponding to the content CT13 is displayed.

  Further, the generation device 100 may provide the terminal device 10 with content displayed in various modes. Further, the terminal device 10 may display the content in various modes. For example, the generation device 100 may provide the content to the terminal device 10 by changing the content of the character information. Details of this point will be described later with reference to FIGS.

[1-4. (Hide content)
Further, the terminal device 10 may hide the content provided from the generation device 100 according to various conditions. For example, the terminal device 10 may determine whether to hide the content according to the passage of time after the content is provided, whether the user has selected an option, or the like. Details of this point will be described later with reference to FIG.

[2. Configuration of the generator
Next, the configuration of the generation apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the generation apparatus according to the embodiment. As illustrated in FIG. 3, the generation device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The generation device 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the generation 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 wireless, and transmits / receives information to / from the terminal device 10.

(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. 3, the storage unit 120 according to the embodiment includes a user information storage unit 121, a behavior information storage unit 122, a content information storage unit 123, an option information storage unit 124, and a model information storage unit 125. Have

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various types of information regarding the user. For example, the user information storage unit 121 stores various types of information regarding user attributes. FIG. 4 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. 4 includes items such as “user ID”, “age”, “gender”, and “interest”.

  “User ID” indicates identification information for identifying a user. “Age” indicates the age of the user identified by the user ID. 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 identified by the user ID.

  “Interest” indicates the interest of the user identified by the user ID. That is, “interest” indicates an object that is highly interested by the user identified by the user ID. In the example illustrated in FIG. 4, one “interest” is illustrated for each user, but may be plural.

  For example, in the example of FIG. 4, the age of the user (user U1) identified by the user ID “U1” is “20s”, and the gender is “male”. Also, for example, the user U1 indicates that he is interested in the economy.

  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 various information such as demographic attribute information and psychographic attribute information. For example, the user information storage unit 121 may store information such as name, family structure, address, work place, and income. For example, the user information storage unit 121 may store the position information last acquired for the user as the latest position information.

(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. 5 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 provided to the terminal device 10 of each user. The action information storage unit 122 illustrated in FIG. 5 includes items such as “user ID”, “action ID”, “type”, “content”, “context information”, 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. 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. “Context information” indicates information regarding the context when the corresponding user action is performed. “Date and time” indicates the date and time when the corresponding user action was performed. The “date and time” is abstractly illustrated as “dt11” or the like, but a specific date and time such as “February 27, 2017, 22:31:52” may be stored.

  For example, in the example of FIG. 5, the user (user U1) identified by the user ID “U1” is the behavior identified by the behavior ID “AC11” (the behavior AC11) or the behavior identified by the behavior ID “AC12” ( It shows that action AC12) etc. were performed. Specifically, in the example of FIG. 5, it is indicated that the user U1 browsed the content CT11 (action AC11) at the date and time dt11. Moreover, it shows that the context when the user U1 browses the content CT11 (action AC11) is the context information CN11. For example, the action AC11 indicates that the content CT11 is provided by push notification to the terminal device 10 used by the user U1 at the date dt11. In the example of FIG. 5, the user U1 indicates that the user U1 has selected the option CH13 in the content CT11 at the date dt12 after browsing the content CT11 at the date dt11. Moreover, it shows that the context when the user U1 selects the option CH13 (action AC12) is the context information CN12.

  The behavior information storage unit 122 is not limited to the above, and may store various types of information according to the purpose. For example, the behavior information storage unit 122 may store the location information of the user when each behavior information is acquired in association with each behavior information. 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. 5, action information may be memorize | stored not only for every user ID but in order of time, for example.

(Content information storage unit 123)
The content information storage unit 123 according to the embodiment stores various types of information related to content (articles). FIG. 6 is a diagram illustrating an example of a content information storage unit according to the embodiment. The content information storage unit 123 illustrated in FIG. 6 includes items such as “content ID”, “content”, “target service”, “content”, and “option setting information”. The “option setting information” includes items such as “number” and “option”.

  “Content ID” indicates identification information for identifying the content. “Content” indicates content corresponding to each target service. FIG. 6 shows an example in which conceptual information such as “A content” is stored in “content”, but actually, a file indicating character information, a combination of character information and an image, or a storage location thereof. Stores path names and so on.

  The “target service” indicates a service targeted by the content. “Content” indicates specific content notified to the user by the corresponding content. For example, “content” indicates the notification content regarding the target service of the content.

  Further, “number” in “option setting information” indicates the number of options provided together with the content. Further, “option” in “option setting information” indicates information for identifying an option provided together with the content.

  In the example of FIG. 6, the A content (content CT11) identified by the content ID “CT11” indicates that the target service is the shopping service SV11. The content CT11 indicates that the content is an exhibition of a user's registered product in the shopping service SV11. Further, the content CT11 is provided with three options. In addition, the options provided together with the content CT11 indicate the options CH11, CH12, and CH13.

  The content information storage unit 123 is not limited to the above, and may store various types of information according to the purpose. For example, the content information storage unit 123 may store information regarding the date and time when the content was acquired and the date and time when the content was created. The content information storage unit 123 may store information regarding the evaluation value of each provider. For example, the content information storage unit 123 may store information on content categories such as “economy”, “sports”, and “entertainment”. The content information storage unit 123 may store identification information for identifying the content provider.

(Option information storage unit 124)
The option information storage unit 124 according to the embodiment stores various types of information related to options. FIG. 7 is a diagram illustrating an example of the option information storage unit according to the embodiment. The option information storage unit 124 illustrated in FIG. 7 includes items such as “option ID”, “display content”, and “post-selection processing”.

  “Option ID” indicates identification information for identifying an option. “Display content” indicates a character string displayed as a corresponding option. “Post-selection processing” indicates processing performed when a corresponding option is selected.

  In the example of FIG. 7, the option (option CH11) identified by the option ID “CH11” indicates that the display content is “display”. That is, the option CH11 indicates that “display” is displayed on the terminal device 10. Further, when the option CH11 is selected, it indicates that detailed display is performed. That is, when the option CH11 is selected, the terminal device 10 indicates that the detailed information of the content provided together with the option CH11 is displayed.

  The option information storage unit 124 is not limited to the above, and may store various information according to the purpose.

(Model information storage unit 125)
The model information storage unit 125 according to the embodiment stores information related to learning. For example, the model information storage unit 125 stores model information generated by the generation process. FIG. 8 is a diagram illustrating an example of a model information storage unit according to the embodiment. The model information storage unit 125 illustrated in FIG. 8 stores a model corresponding to each option. The model information storage unit 125 illustrated in FIG. 8 includes items such as “feature 1” to “feature 3” corresponding to the models M1 to M3 as model information.

  For example, in the example of FIG. 8, the model information regarding the model M1 indicates that the model corresponds to the option identified by the option ID “CH11”. For example, in the example of FIG. 8, the model information regarding the model M2 indicates that the model corresponds to the option identified by the option ID “CH12”.

  For example, in the example illustrated in FIG. 8, the model information regarding the model M1 includes feature 1 weight “0.5”, feature 2 weight “−0.4”, feature 3 weight “0.2”, and the like. Indicates that For example, when the feature (feature value) of the model is expressed by an m-dimensional vector, the number of features is m, and the weights of the features 1 to m are stored.

  The model information storage unit 125 is not limited to the above, and may store various model information according to the purpose.

(Control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller and is stored in a storage device inside the generation apparatus 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 generation 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. 3, the control unit 130 includes an acquisition unit 131, a generation unit 132, a determination unit 133, and a provision unit 134, and implements or executes the information processing functions and operations described below. . Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as the information processing described below is performed. Further, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 3, and may be another connection relationship.

(Acquisition part 131)
The acquisition unit 131 acquires various information. For example, the acquisition unit 131 acquires an information request from an external information processing apparatus. For example, the acquisition unit 131 acquires various types of information from an external device such as the terminal device 10. In addition, the acquisition unit 131 acquires various types of information from the storage unit 120. The acquisition unit 131 acquires various types of information from the user information storage unit 121, the behavior information storage unit 122, the content information storage unit 123, the option information storage unit 124, the model information storage unit 125, and the like.

  For example, the acquisition unit 131 is a plurality of options displayed together with the content on the terminal device used by the user, and is a plurality of options for performing predetermined processing related to the content according to the user's selection. Selection information regarding selection of a plurality of options including options indicating evaluation of content is acquired. For example, the acquisition unit 131 acquires information indicating an option selected by the user and user context information corresponding to the time when the option is selected.

  For example, the acquisition unit 131 acquires selection information of a plurality of options including a subjective option indicating a subjective evaluation corresponding to the negative evaluation of the user. For example, the acquisition unit 131 acquires selection information of a plurality of options including common options common to each content and subjective options whose display contents vary depending on the content. For example, the acquisition unit 131 acquires selection information of a plurality of options including subjective options of display contents corresponding to a service corresponding to the content. For example, the acquisition unit 131 acquires selection information of a plurality of options displayed together with content whose display content varies depending on the user's context. For example, the acquisition unit 131 acquires selection information of a plurality of options including subjective options whose display contents change according to changes in content display contents.

  In the example of FIG. 1, the acquisition unit 131 acquires selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection. For example, the acquisition unit 131 acquires selection information indicating that the user U1 has selected the option CH13 and context information CN12 of the user U1 at the time of selection. For example, the acquisition unit 131 acquires selection information indicating that the information provision was inappropriate for the user U1 because the notification timing of the content CT11 pushed to the user U1 is bad. For example, the acquisition unit 131 acquires context information CN12 when the user U1 feels that the content CT11 is unnecessary.

  In the example of FIG. 1, the acquisition unit 131 acquires selection information indicating that the user U2 has selected the option CH11 and context information of the user U2 at the time of selection. For example, the acquisition unit 131 acquires selection information indicating that the user U2 has selected the option CH11 and context information CN22 of the user U2 at the time of selection. For example, the acquisition unit 131 acquires selection information indicating that the user U2 requested the details of the content CT12 pushed to the user U2 and that the information was appropriate for the user U2. For example, the acquisition unit 131 acquires context information CN22 when the user U2 desires details of the content CT12.

  In the example of FIG. 1, the acquisition unit 131 collects a history of behavior information including content provision to the user, selection information of the user, context information, and the like.

  In the example of FIG. 2, the acquisition unit 131 acquires information indicating that a product that the user U5 has added to the watch list or the like has been exhibited from an external device that provides the shopping service SV11 used by the user U5. For example, the acquisition unit 131 acquires the attribute information of the user U5 from the user information storage unit 121.

  In the example of FIG. 2, the acquisition unit 131 acquires the context information of the user U5. For example, the acquisition unit 131 acquires the context information CN51 of the user U5 from the terminal device 10 used by the user U5. For example, the acquisition unit 131 collects the context information CN51 of the user U5 as shown in the context list CL11. For example, the acquisition unit 131 collects the user U5 and the context information CN51 in association with each other.

(Generator 132)
The generation unit 132 may generate various information. For example, the generation unit 132 generates a model using various information acquired by the acquisition unit 131. For example, the generation unit 132 generates a model based on information stored in the user information storage unit 121, the behavior information storage unit 122, the content information storage unit 123, the option information storage unit 124, and the like. For example, the generation unit 132 may store the generated model in the model information storage unit 125. For example, the generation unit 132 may divide the collected information regarding each user's behavior.

  For example, based on the selection information acquired by the acquisition unit 131, the generation unit 132 generates a model that predicts whether the user performs a predetermined action on the content when the content is displayed on the terminal device. For example, the generation unit 132 generates a model based on information indicating the option selected by the user acquired by the acquisition unit 131 and user context information corresponding to the time when the option is selected.

  For example, the generation unit 132 generates a model that predicts whether the user selects a subjective option when content is displayed on the terminal device, based on information related to the user's selection of the subjective option. For example, the generation unit 132 generates a plurality of models for predicting whether the user selects each option when content is displayed on the terminal device, based on information regarding selection of each option by the user.

  For example, the generation unit 132 generates a model using information stored in the user information storage unit 121, information stored in the behavior information storage unit 122, and information stored in the content information storage unit 123. In the example of FIG. 1, the generation unit 132 generates models M <b> 1 to M <b> 3 and the like corresponding to each of the options CH <b> 11 to CH <b> 13 as shown in the model information storage unit 125.

  For example, the generation unit 132 sets the content information of the content provided to the user, the attribute information of the user who has selected the option shown in the selection information, and the user context information when the option shown in the selection information is selected as correct information. Generate a model. For example, when the user U3 selects the option CH12 displayed together with the content CT11, the generation unit 132 selects the content information of the content CT11, the attribute information of the user U3, and the user U3 when the user U3 selects the option CH12. A model M2 corresponding to the option CH12 is generated using the context information as correct answer information.

  For example, the generation unit 132 outputs a high score when content information of the content CT11, attribute information of the user U3, or context information of the user U3 when the user U3 selects the option CH12 is input. A model M2 is generated. Note that the generation apparatus 100 generates a model by appropriately using the various learning methods described above.

(Determining unit 133)
The determination unit 133 determines various information. For example, the determination unit 133 determines content to be provided to the terminal device 10.

  In the example of FIG. 1, the determination unit 133 determines to provide content to the terminal device 10-1 used by the user U1. For example, the determination unit 133 determines to provide the content CT11 to the terminal device 10-1. For example, the determination unit 133 determines to push the content CT11 to the terminal device 10-1.

  For example, the determination unit 133 determines to provide a predetermined number of options together with the content CT11 to the terminal device 10-1. In the example of FIG. 1, the determination unit 133 determines to provide the terminal device 10-1 with the three options CH11, the options CH12, and the options CH13 together with the content CT11.

  In the example of FIG. 1, the determination unit 133 determines to provide content to the terminal device 10-2 used by the user U2. For example, the determination unit 133 determines to provide the content CT12 to the terminal device 10-2. For example, the determination unit 133 determines to push the content CT12 to the terminal device 10-2.

  For example, the determination unit 133 determines to provide a predetermined number of options among the plurality of options stored in the option information storage unit 124 (see FIG. 7) to the terminal device 10-2 together with the content CT12. In the example of FIG. 1, the determination unit 133 determines to provide the terminal device 10-2 with the three options CH11, the options CH12, and the options CH13 together with the content CT12.

  In the example of FIG. 2, the determination unit 133 determines to provide the content to the terminal device 10-5 of the user U5. For example, the determination unit 133 determines to provide the content CT11 to the terminal device 10-5. For example, the determination unit 133 determines to push the content CT11 to the terminal device 10-5.

  In the example of FIG. 2, the determination unit 133 determines (determines) that there is content CT11 as information notified to the user U5. For example, the determination unit 133 determines the provision timing of the content CT11 based on the score “0.6” of the model M1, the score “0.1” of the model M2, and the score “0.2” of the model M3. For example, the determination unit 133 provides the content when the score of an option that the user desires to select is equal to or greater than a predetermined threshold and the score of an option that the user does not want to select is less than the predetermined threshold. It is determined that the timing is suitable for.

  In the example of FIG. 2, the determination unit 133 has a score of the model M1 corresponding to the option CH11 being equal to or greater than the threshold “0.5”, and the scores of the models M2 and M3 corresponding to the options CH12 and CH13 are the threshold “0.5”. If it is less than “,” it is determined that the timing is suitable for providing the content. For example, the determination unit 133 sets the score “0.6” of the model M1 corresponding to the option CH11 to a threshold value “0.5” or more, and sets the score “0.1” or the option CH13 of the model M2 corresponding to the option CH12. Since the score “0.2” of the corresponding model M3 is less than the threshold value “0.5”, it is determined that the timing is suitable for providing the content CT11.

(Providing unit 134)
The providing unit 134 provides various information. For example, the providing unit 134 provides various types of information to an external device such as the terminal device 10. For example, the providing unit 134 provides the content determined by the determining unit 133 to the terminal device 10. For example, the providing unit 134 provides the content to the terminal device 10 at the timing determined (determined) by the determining unit 133.

  In the example of FIG. 1, the providing unit 134 provides content to the terminal device 10-1 used by the user U1. For example, the providing unit 134 provides the content CT11 to the terminal device 10-1. For example, the providing unit 134 notifies the terminal device 10-1 to push the content CT11.

  For example, the providing unit 134 provides a predetermined number of options together with the content CT11 to the terminal device 10-1. In the example of FIG. 1, the providing unit 134 provides three options CH11, options CH12, and options CH13 together with the content CT11 to the terminal device 10-1.

  In the example of FIG. 1, the providing unit 134 provides content to the terminal device 10-2 used by the user U2. For example, the providing unit 134 provides the content CT12 to the terminal device 10-2. For example, the providing unit 134 notifies the terminal device 10-2 of the content CT12 by push notification.

  For example, the providing unit 134 provides a predetermined number of options among a plurality of options stored in the option information storage unit 124 (see FIG. 7) to the terminal device 10-2 together with the content CT12. In the example of FIG. 1, the providing unit 134 provides the terminal device 10-2 with three options CH11, options CH12, and options CH13 together with the content CT12.

  In the example of FIG. 2, the providing unit 134 provides the content to the terminal device 10-5 of the user U5. For example, the providing unit 134 provides the content CT11 to the terminal device 10-5. For example, the providing unit 134 notifies the terminal device 10-5 of the content CT11 by push notification.

[3. Configuration of terminal device]
Next, the configuration of the terminal device 10 according to the embodiment will be described with reference to FIG. FIG. 9 is a diagram illustrating a configuration example of the terminal device 10 according to the embodiment. As illustrated in FIG. 9, the terminal device 10 includes a communication unit 11, a storage unit 12, an input unit 13, an output unit 14, and a control unit 15.

(Communication unit 11)
The communication unit 11 is realized by a communication circuit or the like, for example. The communication unit 11 is connected to a predetermined communication network (not shown) in a wired or wireless manner, and transmits / receives information to / from the generation device 100.

(Storage unit 12)
The storage unit 12 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 12 stores, for example, information related to an application (for example, a transfer guidance application) installed in the terminal device 10, such as a program.

(Input unit 13)
The input unit 13 acquires various operations from the user. For example, the input unit 13 may acquire various operations from the user via a display surface (for example, the display unit 152) by a touch panel function. Further, the input unit 13 may acquire various operations from buttons provided on the terminal device 10, a keyboard or a mouse connected to the terminal device 10.

(Output unit 14)
The output unit 14 is a display screen such as a tablet terminal realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various types of information.

(Control unit 15)
The control unit 15 is a controller, and is realized, for example, by executing various programs stored in a storage device such as the storage unit 12 inside the terminal device 10 using the RAM as a work area by a CPU, an MPU, or the like. . For example, the various programs include programs of installed applications (for example, a transfer guidance application). The control unit 15 is a controller, and is realized by an integrated circuit such as an ASIC or FPGA, for example.

  As illustrated in FIG. 9, the control unit 15 includes a reception unit 151, a display unit 152, an acquisition unit 153, and a transmission unit 154, and realizes or executes functions and operations of providing processing described below. . The internal configuration of the control unit 15 is not limited to the configuration illustrated in FIG. 9 and may be another configuration.

  The receiving unit 151 receives various information. For example, the receiving unit 151 receives an information request from an external information processing apparatus. The receiving unit 151 receives content from the generation device 100.

  In the example of FIG. 1, the reception unit 151 receives content CT12 from the generation device 100. For example, the reception unit 151 receives a push notification of the content CT12 from the generation device 100. In the example of FIG. 1, the receiving unit 151 receives three options CH11, options CH12, and options CH13 together with the content CT12.

  In the example of FIG. 2, the reception unit 151 receives content CT11 from the generation device 100. For example, the reception unit 151 receives a push notification of the content CT11 from the generation device 100. In the example of FIG. 2, the reception unit 151 receives three options CH11, options CH12, and options CH13 together with the content CT11.

  The display unit 152 displays various information. The display unit 152 displays various information on the screen of the terminal device 10. For example, the display unit 152 includes a plurality of options for performing predetermined processing related to the content and the content according to the selection of the user who uses the terminal device 10, and includes a plurality of options indicating evaluation of the user's content Display choices. For example, the display unit 152 displays a plurality of options including a subjective option that is an option indicating the user's subjective evaluation. For example, the display unit 152 displays a plurality of options including a subjective option indicating a subjective evaluation corresponding to the negative evaluation of the user.

  The display unit 152 displays a plurality of options including common options common to each content and subjective options whose display contents vary depending on the content. For example, the display unit 152 displays a plurality of options including a subjective option of display contents corresponding to a service corresponding to the content. For example, the display unit 152 displays content whose display content varies depending on the user's context. For example, the display unit 152 displays a plurality of options including subjective options whose display contents change according to changes in content display contents. For example, the display unit 152 hides the content after a predetermined time has elapsed since the content can be displayed.

  For example, the display unit 152 hides the content when the related content having a predetermined relationship with the content can be displayed after the content becomes displayable. For example, after the content becomes displayable, the display unit 152 hides the content when related content provided by a service common to the content becomes displayable. For example, the display unit 152 displays the content as a push notification output from the terminal device regardless of the operation of the terminal device by the user.

  In the example of FIG. 1, the display unit 152 displays the content CT12. For example, the display unit 152 displays three options CH11, options CH12, and options CH13 together with the content CT12. For example, the display unit 152 displays the option CH11 described as “display” together with the content CT12. For example, the display unit 152 displays the option CH12 in which “Erase” is described together with the content CT12. For example, the display unit 152 displays the option CH13 described as “unnecessary” together with the content CT12.

  For example, the display unit 152 displays detailed information corresponding to the content CT11 when the option CH11 is selected by the user. For example, when the option CH12 is selected by the user, the display unit 152 erases the display of the push notification of the content CT11 and hides the content CT11. For example, when the option CH13 is selected by the user, the display unit 152 deletes the push notification display of the content CT11 and hides the content CT11.

  In the example of FIG. 2, the display unit 152 displays the content CT11. For example, the display unit 152 displays three options CH11, options CH12, and options CH13 together with the content CT11. For example, the display unit 152 displays the option CH11 described as “display” together with the content CT11. For example, the display unit 152 displays the option CH12 in which “Erase” is described together with the content CT11. For example, the display unit 152 displays the option CH13 described as “unnecessary” together with the content CT11.

  The acquisition unit 153 acquires various information. For example, the acquisition unit 153 acquires various types of information stored in the storage unit 12. For example, the acquisition unit 153 acquires information related to the user's selection in response to the user's operation for a plurality of options. For example, when any one of a plurality of options is selected by the user, the acquisition unit 153 displays information indicating that the option has been selected and user context information corresponding to the time when the option is selected. get. For example, when the user selects a subjective option, the acquisition unit 153 acquires information corresponding to the display content of the subjective option.

  In the example of FIG. 1, the acquisition unit 153 acquires selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection. For example, the acquisition unit 153 acquires selection information indicating that the user U2 has selected the option CH11 and context information of the user U2 at the time of selection.

  The transmission unit 154 transmits an information request to the generation apparatus 100 according to the user operation acquired by the input unit 13. For example, the transmission unit 154 transmits an information request from the activated application or the like to the generation device 100. For example, the transmission unit 154 transmits user selection information to the generation apparatus 100.

  In the example of FIG. 1, the transmission unit 154 transmits selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection to the generation apparatus 100. For example, the transmission unit 154 transmits selection information indicating that the user U2 has selected the option CH11 and context information of the user U2 at the time of selection to the generation apparatus 100.

  In the example of FIG. 2, the transmission unit 154 transmits the acquired selection information and context information to the generation device 100. For example, the transmission unit 154 transmits selection information indicating that the user U5 has selected the option CH11 and context information of the user U5 at the time of selection to the generation apparatus 100.

  Note that the processing such as the display processing by the control unit 15 described above may be realized by, for example, JavaScript (registered trademark). In addition, when the above-described display process is performed by a predetermined application (for example, a transfer guide application) or when the display process is performed by a dedicated application, the control unit 15 performs, for example, application control for controlling the predetermined application or the dedicated application. You may have a part.

[4. Generation process flow)
Next, the procedure of display processing by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 10 is a flowchart illustrating an example of display processing according to the embodiment.

  As shown in FIG. 10, the terminal device 10 displays the content and a plurality of options for the content (step S101). In the example of FIG. 1, the terminal device 10-1 displays the content CT11. For example, the terminal device 10-1 displays three options CH11, options CH12, and options CH13 together with the content CT11.

  Further, the terminal device 10 acquires user selection information in accordance with the user's operation for a plurality of options (step S102). In the example of FIG. 1, the terminal device 10-1 acquires selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection.

  And the terminal device 10 feeds back selection information to a provision side (step S103). In the example of FIG. 1, the terminal device 10-1 transmits selection information indicating that the user U1 has selected the option CH13 and context information of the user U1 at the time of selection to the generation device 100.

[5. (Display processing flow)
Next, a generation process procedure performed by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 11 is a flowchart illustrating an example of the generation process according to the embodiment.

  As illustrated in FIG. 11, the generation apparatus 100 acquires selection information and context information of a content providing user (step S <b> 201). For example, the generation apparatus 100 uses the content information of the content provided to the user, the attribute information of the user who has selected the option shown in the selection information, and the user context information when the option shown in the selection information is selected as correct information. Obtained from an external device such as the storage unit 120 or the terminal device 10.

  Then, the generation apparatus 100 generates a model corresponding to each option based on the user selection information and context information corresponding to each option (step S202). For example, the generation apparatus 100 uses the content information of the content provided to the user, the attribute information of the user who has selected the option shown in the selection information, and the user context information when the option shown in the selection information is selected as correct information. Generate a model. For example, when the user U3 selects the option CH12 displayed together with the content CT11, the generation apparatus 100 selects the content information of the content CT11, the attribute information of the user U3, and the user U3 when the user U3 selects the option CH12. A model M2 corresponding to the option CH12 is generated using the context information as correct answer information.

[6. Display example)
Note that the display of content and options is not limited to the above, and may be in various forms. This point will be described with reference to FIGS. FIG. 12 is a diagram illustrating an example of display on the terminal device according to the embodiment. FIG. 13 is a diagram illustrating an example of display on the terminal device according to the embodiment. FIG. 14 is a diagram illustrating an example of display on the terminal device according to the embodiment. The description of the same points as in FIGS. 1 and 2 will be omitted as appropriate. In the example of FIGS. 12 and 13, it is assumed that the user is the user U1.

[6-1. (Contents)
First, with reference to FIG. 12 and FIG. 13, display of options, character information displayed in content, and the like will be described. Points common to FIGS. 12 and 13 will be described with reference to FIG.

  The content CT11 is displayed on the terminal device 10 in FIG. For example, the generation device 100 provides the terminal device 10 with three options CH11, options CH12, and options CH21 together with the content CT11. Further, the terminal device 10 displays the three options in the order of the option CH11, the option CH21, and the option CH12 from the left along with the content CT11. In this way, in FIG. 12, the options CH11 and CH12 are displayed in the same manner as in FIGS. 1 and 2, and the option CH21 is displayed instead of the option CH13. The options CH11 and CH12 may be common options that are displayed in common for each content. As for the option CH21, the option CH13, etc., which option is displayed may vary depending on the service or content.

  In this way, in the example of FIG. 12, the terminal device 10 displays the option CH21 in which “OK” is written together with the content CT11. For example, when the option CH21 is selected, the display of the push notification of the content CT11 is deleted, and the content CT11 is not displayed.

  Here, the process after the selection of the option CH21 is the same as the process after the selection of the option CH12, but the option CH21 is displayed as “OK”, and the user's subjective evaluation is better than the option CH12. It is an option that indicates that. For example, the option CH21 is an option indicating the user's subjective evaluation that the user confirms the notification of the content CT11 and feels that the timing is good. For example, the option CH21 is an option that is preferably selected by the user. Also, the option CH21 is an option that, unlike the option CH11, does not display the detailed information of the content CT11, and enables acquisition of a subjective evaluation that the user feels that the notification timing is good. Therefore, it is desirable that the generating apparatus 100 push-notifies the terminal apparatus 10 with content having such a content that the option CH21 is selected at a timing at which the option CH21 is selected. Further, it is desirable that the terminal device 10 displays content having such a content that the option CH21 is selected at a timing at which the option CH21 is selected.

  For example, the generation device 100 pushes the content to the terminal device 10 at a timing when the output of the model corresponding to the option CH21 becomes high. Thereby, the production | generation apparatus 100 can provide suitable content to the terminal device 10 at a suitable timing.

  In addition, in the display area SN21 in the content CT11 shown in FIG. 12, "U1's registered product has been exhibited! Check it now!" Is displayed, and the user U1 is displayed in the display area SN21. It is not possible to determine which product has been exhibited based on the information alone. Therefore, the user U1 who has browsed the content CT11 is likely to select the option CH11 if it is an appropriate timing, and select the option CH12 if it is not an appropriate timing.

  On the other hand, the display area SN31 in the content CT11 shown in FIG. 13 displays "The wallet Y registered by U1 has been exhibited! Check it now!", And the user U1 is displayed in the display area SN31. Only the displayed information can determine which product is being exhibited. Therefore, the user U1 who has browsed the content CT11 is likely to select the option CH21 if it is an appropriate timing, and select the option CH12 if it is not an appropriate timing.

  As described above, even when notification is appropriate timing for the user, depending on the type of information to be displayed, the case where the user needs to select the option CH11 and display details and the information of push notification is sufficient. This is divided into the case where the option CH21 is selected.

  Therefore, the generation apparatus 100 may provide information that requires detailed confirmation as shown in the display area SN21 in FIG. 12 when the user wants the user to select the option CH11. In this case, the generation apparatus 100 may determine the character information of the content so that the score output by the model M1 corresponding to the option CH11 is high, and provide the content.

  In addition, when the generation apparatus 100 wants the user to select the option CH21, the generation apparatus 100 may provide sufficient information by confirming only the information as indicated by the display area SN31 in FIG. In this case, the generating apparatus 100 may determine the character information of the content so that the score output by the model corresponding to the option CH21 is high, and provide the content.

[6-2. (Hide duplicates)
Next, a method for suppressing a plurality of similar contents from being displayed will be described with reference to FIG. The terminal device 10-41 in FIG. 14 shows the state of overlapping display of content, and the terminal device 10-42 in FIG. 14 shows the state of excluding overlapping display of content. Note that the similar content mentioned here may be content related to the same content notified from the same service. For example, the content that informs the same user of the exhibition of the registered product may be similar content (hereinafter also referred to as “duplicate content”).

  For example, contents CT40-2 (CT40), CT50, CT60, CT70, CT80, and CT40-1 (CT40) are displayed on the terminal device 10-41. As described above, the content CT40-2 and the content CT40-1 related to the mail service are displayed in duplicate on the terminal device 10-41.

  As shown in the terminal device 10-41, when a plurality of overlapping contents are displayed, overlapping contents, that is, contents that do not increase the amount of information provided to the user occupy the display area, and the satisfaction of the user is lowered. Therefore, when overlapping display is performed in this way, there is a high possibility that the user's evaluation with respect to the service corresponding to the content that is displayed overlappingly will also decrease. In the case of the terminal device 10-41 in FIG. 14, the content CT40-1 that is information older than the content CT40-2 is content that is less required to be displayed on the terminal device 10.

  Therefore, as shown in the terminal device 10-42, the terminal device 10 hides the content CT40-1 that is the old content out of the duplicate content CT40-1 and content CT40-2, and eliminates the duplication. Is displayed. For example, contents CT40-2 (CT40), CT50, CT60, CT70, CT80, and CT90 are displayed on the terminal device 10-42. As a result, the user using the terminal device 10 can confirm that there has been a notification about the service related to the content CT90 without performing an operation such as displaying the lower part. As described above, the terminal device 10 can suppress the user's evaluation for the service corresponding to the content displayed in duplicate by reducing the content overlap display.

  In the above-described example, when a plurality of overlapping contents are displayed, the case where the contents are hidden is shown. However, the terminal device 10 may hide the contents based on various conditions. For example, the terminal device 10 may hide the content when a predetermined time (for example, 30 minutes) has elapsed since the content was displayed. For example, the terminal device 10 may hide the content when a predetermined time (for example, 1 hour) elapses without the user specifying an option after the content is displayed.

  In addition, when a plurality of overlapping contents are displayed, the terminal device 10 may hide the contents when a predetermined time (for example, 20 minutes) has elapsed. For example, the terminal device 10 does not display content when a predetermined time (for example, 1 hour) elapses without the user specifying any of the options for the overlapping content after a plurality of overlapping content is displayed. It may be.

[7. effect〕
As described above, the generation device 100 according to the embodiment includes the acquisition unit 131 and the generation unit 132. The acquisition unit 131 is a plurality of options displayed together with the content on the terminal device 10 used by the user, and selection information regarding the user's selection of a plurality of options for which predetermined processing related to the content is executed according to the user's selection To get. Further, the generation unit 132 generates a model that predicts whether the user performs a predetermined action on the content when the content is displayed on the terminal device 10 based on the selection information acquired by the acquisition unit 131.

  Accordingly, the generation device 100 according to the embodiment predicts whether the user performs a predetermined action on the content when the content is displayed on the terminal device 10 based on the selection information related to the user's selection of a plurality of options. By generating the model, it is possible to appropriately generate a model that predicts whether the user performs a predetermined action on the content when the content is displayed on the terminal device 10.

  In the generation device 100 according to the embodiment, the acquisition unit 131 acquires information indicating an option selected by the user and user context information corresponding to the point in time when the option is selected. In addition, the generation unit 132 generates a model based on information indicating the option selected by the user acquired by the acquisition unit 131 and the context information of the user corresponding to the time when the option is selected.

  Thereby, the generation apparatus 100 according to the embodiment generates the model based on the information indicating the option selected by the user and the user's context information corresponding to the time when the option is selected. When the content is displayed on the screen, it is possible to appropriately generate a model for predicting whether the user performs a predetermined action on the content.

  Further, in the generation device 100 according to the embodiment, the generation unit 132 predicts whether the user selects each option when content is displayed on the terminal device 10 based on information regarding selection of each option by the user. Generate multiple models.

  Thereby, the generation apparatus 100 according to the embodiment generates a plurality of models for predicting whether the user selects each option when content is displayed on the terminal device 10 based on information regarding selection of each option by the user. By generating, it is possible to appropriately generate a model for predicting whether the user performs a predetermined action on the content when the content is displayed on the terminal device 10.

  Further, in the generation device 100 according to the embodiment, the generation unit 132 predicts whether the user selects a subjective option when content is displayed on the terminal device 10 based on information regarding selection of the subjective option of the user. Generate a model.

  Accordingly, the generation device 100 according to the embodiment generates a model that predicts whether the user selects a subjective option when content is displayed on the terminal device 10 based on information regarding selection of the subjective option of the user. Accordingly, it is possible to appropriately generate a model that predicts whether the user performs a predetermined action on the content when the content is displayed on the terminal device 10.

  In the generation device 100 according to the embodiment, the generation unit 132 acquires selection information of a plurality of options including a subjective option indicating a subjective evaluation corresponding to the negative evaluation of the user.

  Thereby, the generation apparatus 100 according to the embodiment displays the content on the terminal device 10 by acquiring selection information of a plurality of options including subjective options indicating a subjective evaluation corresponding to the negative evaluation of the user. In this case, it is possible to appropriately generate a model that predicts whether the user performs a predetermined action on the content.

  Further, in the generation apparatus 100 according to the embodiment, the generation unit 132 acquires selection information of a plurality of options including common options common to each content and subjective options whose display contents vary depending on the content.

  Accordingly, the generation apparatus 100 according to the embodiment acquires selection information of a plurality of options including common options common to each content and subjective options whose display contents vary according to the content, thereby obtaining the terminal device 10. When the content is displayed on the screen, it is possible to appropriately generate a model for predicting whether the user performs a predetermined action on the content.

  Further, in the generation device 100 according to the embodiment, the generation unit 132 acquires selection information of a plurality of options including subjective options of display contents according to a service corresponding to the content.

  Thereby, when the content is displayed on the terminal device 10, the generation device 100 according to the embodiment acquires selection information of a plurality of options including the subjective option of the display content according to the service corresponding to the content. It is possible to appropriately generate a model that predicts whether the user performs a predetermined action on the content.

  Further, in the generation device 100 according to the embodiment, the generation unit 132 acquires selection information of a plurality of options displayed together with content whose display content varies depending on the user's context.

  Accordingly, when the content is displayed on the terminal device 10 by the generation device 100 according to the embodiment by acquiring selection information of a plurality of options displayed together with the content whose display content varies depending on the user's context. In addition, it is possible to appropriately generate a model for predicting whether the user performs a predetermined action on the content.

[8. program〕
The processing by the terminal device 10 described above is realized by the display program according to the present application. Similarly, the other processing units related to the terminal device 10 are realized by executing each procedure by the display program. For example, the display unit 152 related to the terminal device 10 is realized by the CPU or MPU included in the terminal device 10 executing a display procedure related to the display program using the RAM as a work area. Similarly, the other processing units related to the terminal device 10 are realized by executing each procedure by the display program.

  Note that the processing executed by the terminal device 10 according to the present application may not necessarily be realized by a display program. For example, information outside the terminal device 10 may be acquired by an OS (Operating System) included in the terminal device 10. That is, the display program itself does not execute the processing executed by the terminal device 10 as described above, but receives data acquired by the OS (for example, data used to display content, options, and the like). By doing so, the processing of the terminal device 10 described above may be realized.

[9. Hardware configuration)
The generation apparatus 100 and the terminal apparatus 10 according to the above-described embodiments are realized by a computer 1000 having a configuration as illustrated in FIG. FIG. 15 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the generation device and the terminal device. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 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 transmits 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 generation device 100 and the terminal device 10 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control units 130 and 15 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 described above, some of the embodiments and modifications of the present application have been described in detail with reference to the drawings. It is possible to carry out the present invention in other forms that have been modified and improved.

[10. 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.

DESCRIPTION OF SYMBOLS 1 Information processing system 100 Generation apparatus 121 User information storage part 122 Behavior information storage part 123 Content information storage part 124 Option information storage part 125 Model information storage part 130 Control part 131 Acquisition part 132 Generation part 133 Determination part 134 Provision part 10 Terminal apparatus 12 storage unit 15 control unit 151 reception unit 152 display unit 153 acquisition unit 154 transmission unit N network

Claims (10)

Acquisition of a plurality of options displayed together with content in a terminal device used by a user, wherein selection information related to the user's selection of a plurality of options for which predetermined processing related to the content is executed according to the user's selection And
A generating unit that generates a model for predicting whether a user performs a predetermined action on the content when the content is displayed on the terminal device based on the selection information acquired by the acquiring unit;
A generating apparatus comprising: The acquisition unit
Obtaining information indicating the option selected by the user and context information of the user corresponding to the time when the option is selected;
The generator is
The model is generated based on information indicating an option selected by the user acquired by the acquisition unit and context information of the user corresponding to a point in time when the option is selected. The generating device described in 1. The generator is
The plurality of models for predicting whether the user selects each option when the content is displayed on the terminal device based on information on selection of each option by the user. The generation device according to claim 1 or 2. The generator is
Based on information related to selection of a subjective option that is an option indicating the user's subjective evaluation, the model that predicts whether the user selects the subjective option when the content is displayed on the terminal device is generated. The generating apparatus according to claim 1, wherein The acquisition unit
The generation apparatus according to claim 4, wherein the selection information of the plurality of options including a subjective option indicating a subjective evaluation corresponding to a negative evaluation of the user is acquired. The acquisition unit
6. The selection information of the plurality of options including a common option common to each content and the subjective option whose display content varies according to the content is acquired. Generator. The acquisition unit
The generation apparatus according to claim 6, wherein the selection information of the plurality of options including the subjective option of display contents corresponding to the service corresponding to the content is acquired. The acquisition unit
The generation apparatus according to claim 1, wherein the selection information of the plurality of options displayed together with the content whose display content varies according to the user's context is acquired. A generation method executed by a computer,
Acquisition of a plurality of options displayed together with content in a terminal device used by a user, wherein selection information related to the user's selection of a plurality of options for which predetermined processing related to the content is executed according to the user's selection Process,
A generating step of generating a model for predicting whether a user performs a predetermined action on the content when the content is displayed on the terminal device based on the selection information acquired by the acquiring step;
A generation method comprising: Acquisition of a plurality of options displayed together with content in a terminal device used by a user, wherein selection information related to the user's selection of a plurality of options for which predetermined processing related to the content is executed according to the user's selection Procedure and
A generation procedure for generating a model for predicting whether a user performs a predetermined action on the content when the content is displayed on the terminal device based on the selection information acquired by the acquisition procedure;
A program for causing a computer to execute.

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