JP2017228269A - Generation device, generation method, and generation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately generate information on a gift for a user.SOLUTION: A generation device according to the present application comprises an acquisition unit, a generation unit and a provision unit. The acquisition unit acquires reaction information on reaction of a user to information on a commodity or service. The generation unit generates list information on the commodity or service on the basis of the reaction information acquired by the acquisition unit as information on a gift for the user. The provision unit provides another user having a predetermined relation with the user with recommendation information for recommending a commodity or service corresponding to the list information generated by the generation unit as a commodity or service to be gifted to the user.SELECTED DRAWING: Figure 2

Description

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

  In recent years, various technologies related to electronic commerce such as online shopping have been provided. For example, a technique for providing a recommended gift presentation service for a gift sender based on questionnaire response data of a recipient is provided.

JP 2002-31645 A Japanese Patent No. 5818777

  However, it is difficult for the above-described conventional technology to appropriately generate information related to gifts to the user. For example, when an answer is obtained by a recipient's questionnaire, the burden on the recipient is heavy, it is difficult to collect potential needs of the recipient, and it is difficult to appropriately generate information related to gifts to the user.

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

  The generation device according to the present application includes an acquisition unit that acquires reaction information about a user's reaction to information about a product or service, and a product based on the reaction information acquired by the acquisition unit as information about a gift to the user. Alternatively, a generation unit that generates list information related to the service, and a product or service that gives the user a product or service corresponding to the list information generated by the generation unit to another user having a predetermined relationship with the user And a providing unit for providing recommended information recommended as the above.

  According to one aspect of the embodiment, there is an effect that information related to a gift to the user can be appropriately generated.

FIG. 1 is a diagram illustrating an example of a generation process according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the generation apparatus according to the embodiment. FIG. 3 is a diagram illustrating an example of a user information storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of a reaction information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the list information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a broadcast information storage unit according to the embodiment. FIG. 7 is a diagram illustrating a configuration example of the terminal device according to the embodiment. FIG. 8 is a flowchart illustrating an example of the generation process according to the embodiment. FIG. 9 is a flowchart illustrating an example of the generation process according to the embodiment. FIG. 10 is a diagram illustrating an example of the generation process according to the modification. FIG. 11 is a diagram illustrating a configuration example of a generation apparatus according to a modification. FIG. 12 is a diagram illustrating an example of a user information storage unit according to the modification. FIG. 13 is a diagram illustrating an example of the list information storage unit according to the modification. FIG. 14 is a diagram illustrating an example of the product information storage unit according to the modification. FIG. 15 is a flowchart illustrating an example of the generation process according to the modification. FIG. 16 is a flowchart illustrating an example of the generation process according to the modification. FIG. 17 is a hardware configuration diagram illustrating an example of a computer that implements the function of the generation 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. Generation process)
First, the generation process according to the embodiment will be described. FIG. 1 is a diagram illustrating an example of a generation process according to the embodiment. The generation apparatus 100 illustrated in FIG. 1 provides a generation service that generates list information about products or services based on reaction information about user responses to information about products or services as information about gifts to users. Note that the product or service mentioned here may include such a target as long as it can be traded. In the following, “product or service” may be described as “product or the like”. In addition, the reaction referred to here includes various things related to a change (movement) of a user in response to an input (stimulation) to a user who is a living thing.

  As illustrated in FIG. 1, the generation system 1 according to the embodiment includes a terminal device AP11, a terminal device 10, and a generation device 100. The terminal device AP11, the terminal device 10, and the generation device 100 are connected to be communicable via a predetermined network. The generation system 1 illustrated in FIG. 1 may include a plurality of terminal devices AP11, a plurality of terminal devices 10, and a plurality of generation devices 100.

  In the example illustrated in FIG. 1, the terminal device AP11 is a so-called wearable device, and is a terminal device that collects user biometric information when the user puts it on his arm. In the example of FIG. 1, the terminal device AP11 transmits reaction information on the collected user products and the like to the generation device 100. For example, the terminal device AP11 can acquire various biological information of the user. For example, it is assumed that the terminal device AP11 can communicate with a predetermined wireless communication technology such as Wi-Fi (registered trademark) or Bluetooth (registered trademark). The terminal device AP11 is not limited to the wristwatch type, and may be any terminal as long as it can collect the user's biological information. For example, the wearable terminal may be in the form of an ear-hook type terminal integrated with an earphone, a spectacle-type terminal, or clothes worn by a user.

  The terminal device AP11 is not limited to the above, and any terminal device may be used as long as it can acquire reaction information on a user's product and the like and can transmit the reaction information to the generation device 100. Note that the transmission of the reaction information to the generation apparatus 100 here includes transmission of the reaction information to the generation apparatus 100 via another apparatus. For example, the terminal device AP11 may be any terminal device as long as it is a device that can communicate with the generation device 100 via a predetermined network, that is, a so-called IoT (Internet of Things) device. For example, the terminal device AP11 may be a terminal device having an image sensor or the like. For example, the terminal device AP11 is a so-called voice assist terminal, and may be a terminal device that detects surrounding sounds with a sound sensor and performs various processes according to the detected sounds. Details of this point will be described later.

  The terminal device 10 is an information processing device used by a user. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. In the example illustrated in FIG. 1, the terminal device 10 is a smartphone. However, the terminal device 10 may be any terminal device as long as the recommended information provided from the generation device 100 can be provided to the user. May be. For example, the terminal device 10 may be a wristwatch type terminal device. 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 generation device 100 provides a generation service that generates list information on products based on reaction information on user responses to information on products as information on gifts to the user. In addition, the generating apparatus 100 provides other users with recommended information that recommends products or the like to be given to users corresponding to the list information based on the generated list information. For example, the generation apparatus 100 may be an information processing apparatus that provides an electronic commerce service such as online shopping. The generation apparatus 100 may be able to acquire information from an information processing apparatus that provides an electronic commerce service. In this case, the generation system 1 may include an information processing apparatus that provides an electronic commerce service such as online shopping.

  Hereinafter, an example of the generation process will be described with reference to FIG. In the example illustrated in FIG. 1, a user identified by a user ID “U11” (hereinafter sometimes referred to as “user U11”) wears the terminal device AP11 on his / her arm, and the terminal device AP11 uses the user U11. The case where the reaction information can be acquired will be described. In the example of FIG. 1, the generation device 100 acquires pulse information, which is biological information of the user U11, as reaction information from the terminal device AP11 having a biological information sensor.

  Further, in the example of FIG. 1, it is assumed that which object (product or the like) has reacted is estimated from other information. In addition, when the information which estimates goods etc. is contained in reaction information, the production | generation apparatus 100 may estimate the goods etc. which are object only from reaction information, without using other information, but the detail about this point Will be described later. The example of FIG. 1 shows a case where a target product or the like is estimated from the reaction information of the user U11 collected by the terminal device AP11 and the broadcast information of the television while the user U11 is watching the television. Further, in the example of FIG. 1, recommended information for recommending a product or the like to give to the user U11 to the user identified by the user ID “U12” who is a child of the user U11 (hereinafter, may be referred to as “user U12”). The case where it provides is shown.

  In FIG. 1, a user U11 views content on a predetermined television broadcast receiver TV (hereinafter, simply referred to as “TV TV”) in the house HM. As shown in FIG. 1, the content A2 which is a mail order program in the wallet A is displayed on the television TV. At this time, it demonstrates below that the pulse of the user U11 rose.

  The terminal device AP11 acquires reaction information IR11 indicating that the pulse of the user U11 has increased (step S11). And terminal unit AP11 transmits the acquired reaction information IR11 to the production | generation apparatus 100 (step S12). Further, the terminal device AP11 transmits information indicating that the date and time when the reaction information IR11 is acquired is the acquisition date and time X (hereinafter also simply referred to as “date and time X”) to the generation device 100. The date / time X is approximately equal to the date / time D.

  The generating apparatus 100 that has acquired the reaction information IR11 from the terminal device AP11 estimates information based on the reaction information IR11 (step S13). For example, the generation device 100 estimates which product etc. the user U11 has reacted to. Here, as shown in the broadcast information storage unit 124 in FIG. 1, the content A <b> 2, which is a mail-order program for the wallet A, is broadcast at the date D that is substantially equal to the date X. Therefore, the generation apparatus 100 estimates that the product corresponding to the reaction information IR11 is the wallet A. In FIG. 1, for the sake of simplicity, a case in which a product or the like that the user U11 has reacted to is estimated based on the date and time when the reaction information IR11 is acquired and the broadcast information is illustrated. The product or the like to which the user U11 has reacted may be estimated using various information as appropriate.

  For example, the generation apparatus 100 may estimate a product or the like that the user U11 has reacted to based on information related to the user U11's television TV viewing habits or the like. In addition, for example, when a terminal device having a sound sensor that detects sound is arranged in the house HM, the generation device 100 sets the date and time on the television TV in the house HM based on audio information acquired from the terminal device. The content displayed in X may be estimated. For example, when the image sensor etc. which image the inside of the house HM are arrange | positioned, the production | generation apparatus 100 is based on the image information etc. which were acquired from the image sensor, etc., and the user A11 is content A2 which is the mail order program of the wallet A. You may estimate that you were watching. In addition, for example, when the user U11 wears a glasses-type terminal having the function of an image sensor, the generation apparatus 100 uses the mail information program acquired by the user U11 from the wallet A based on image information acquired from the glasses-type terminal. It may be estimated that the content A2 is being viewed. That is, as long as it is possible to estimate which target the user U11 has reacted to, the generation apparatus 100 may estimate the target that has reacted.

  For example, the production | generation apparatus 100 estimates the reaction level of the user U11 based on reaction information IR11. For example, the generation device 100 estimates the response level of the user U11 based on the amount of change in pulse included in the response information IR11. Here, the reaction level refers to a level based on the amount of change in the pulse before and after the user recognizes information related to the product or the like, and may be, for example, five levels A to E where A is the maximum. Good. In FIG. 1, the generation apparatus 100 estimates that the user U11 has a reaction and the reaction level is A as shown in the estimation information RA11 based on the reaction information IR11.

  Thereafter, the generating apparatus 100 calculates the score of the wallet A in the user U11 based on the reaction information IR11 (step S14). In the example of FIG. 1, the generation device 100 calculates the score of the wallet A that is a product or the like identified by the product etc. ID “IT11” based on the reaction information IR11. For example, the generation device 100 may calculate the score based on the magnitude of the amount of change from the normal pulse of the user U11. For example, it is assumed that the higher the score of the wallet A in the user U11, the higher the user U11's interest in the wallet A, that is, the degree that the user U11 wants the wallet A. In the example of FIG. 1, the generation device 100 calculates the score of the wallet A in the user U11 as “4.5” based on the reaction information IR11 as shown in the score information IS11. The generation apparatus 100 calculates the score of the wallet A in the user U11 as “4.5” in consideration of not only the reaction information IR11 but also the reaction information regarding the wallet A acquired in the past. For example, the generation apparatus 100 may calculate the score of the wallet A in the user U11 based on the weight and reaction information that become larger as the acquisition date is newer. Note that the above is an example, and the generation apparatus 100 may calculate a score related to a product or the like by the user based on any criterion. Further, it is assumed that the generation apparatus 100 also calculates a score related to a product identified by the product etc. ID “IT10” or another product such as a product identified by the product etc. ID “IT12”.

  And the production | generation apparatus 100 produces | generates list information as information regarding the gift to the user U11 (step S15). For example, the generating apparatus 100 generates list information including products and the like whose score regarding the user U11 is “3.0” or more. In the example of FIG. 1, the generation device 100 generates a list of recommended gifts for the user U11 as shown in the list information storage unit 123 in FIG. Specifically, the generation apparatus 100 has the highest score “4.5” of the wallet A, which is the product identified by the product etc. ID “IT11”, and the product etc. identified by the product etc. ID “IT12”. List information indicating that the score “3.5” is the second largest and the score “3.1” of the product identified by the product etc. ID “IT10” is the third largest.

  Thereafter, the user U12 requests recommended information regarding the user U11 from the generation apparatus 100 (step S16). For example, the user U12 requests recommended information regarding the user U11 from the generation device 100 by operating the terminal device 10. Since the user U12 has a predetermined relationship (parent-child relationship) with the user U11, it is assumed that the user U12 has the authority to request recommended information regarding the user U11. For example, since the user U12 is included in the related user information of the user U11 in the user information storage unit 121 (see FIG. 3), the generation device 100 provides recommended information regarding the user U11 to the user U12. For example, when the user U12 is not included in the related user information of the user U11 in the user information storage unit 121 (see FIG. 3), the generation device 100 may not provide the recommended information regarding the user U11 to the user U12.

  The generation apparatus 100 that has acquired a request for recommended information related to the user U11 from the user U12 generates recommended information to be provided to the user U12 based on the list information of the user U11. In the example of FIG. 1, the generation apparatus 100 provides information about the wallet A that is a product identified by the product etc. ID “IT11” having the maximum score as recommended information to the user U12 (step S17). Note that the generation apparatus 100 may provide the user U11 with the list information of the user U11.

  As described above, the generation device 100 calculates a score of each product or the like based on the user's reaction information with respect to information about each product or the like. Moreover, the production | generation apparatus 100 can produce | generate the information regarding the gift to a user appropriately by producing | generating the list information based on the calculated score. Further, the generation device 100 can recommend to other users products or the like estimated to be pleasing to the user by providing recommended information based on the generated list information on gifts to the user to other users. .

  In the above example, the case where the biometric information when the user U11 looks at the wallet A on the TV TV is used as the reaction information is described as an example. However, the input to the user and the change of the user are not close in time. May be. For example, one day after the user U11 sees the wallet A on the TV TV, the user speaks “That wallet I like on TV” or “Wallet A I like”, and the voice information of the utterance is sent to the terminal device AP21 (FIG. 10) or the like, the generation apparatus 100 may use the reaction information when the user U11 views the content A2 on the television TV. In addition, the user here is not limited to a human being as long as the generation device 100 can be identified, and may be a pet such as a dog or a cat. In this case, the generation apparatus 100 may recommend pet food or the like that the pet (user) has reacted to other users such as a pet buyer. Further, the generation device 100 may recommend a pet food or the like that the pet has reacted to other users such as a friend of a pet buyer. Moreover, although the case where the user U11 was in the house HM was illustrated in the above example, as long as the user's reaction information can be acquired, the user may be in any place such as outdoors or in another building.

  Further, in the above example, the case where the generation apparatus 100 estimates a target (product or the like) to which the user has reacted based on content broadcast on the television has been described as an example. Any content may be used as long as it can be estimated. For example, the generation apparatus 100 may estimate a product or the like to which the user has reacted based on content browsed by the user on the Internet. For example, the generation apparatus 100 may estimate a product or the like to which the user has reacted based on the browsing history of content on the Internet of the user at the time when the reaction information is acquired. In addition, for example, when the user U11 is wearing a glasses-type terminal and is outdoors, the generation apparatus 100 displays a signboard or display that the user U11 visually recognizes outdoors based on image information acquired from the glasses-type terminal. You may estimate the goods etc. which are the object which the user reacted based on various contents, such as goods. In addition, when the user U11 wears a glasses-type terminal, the generation apparatus 100 can detect a product that the user U11 is viewing based on the degree of opening of the pupil of the user U11 acquired from the glasses-type terminal. You may estimate the degree which the user U11 wants. For example, when the pupil of the user U11 who has visually recognized a certain product or the like is enlarged, the generation apparatus 100 may estimate the degree that the user U11 wants the product or the like that the user U11 is viewing.

  Further, the generation system 1 provides the user with information related to the products included in the list information generated by the generation device 100 by various means, thereby confirming the degree that the user wants the products. Also good. For example, the generation system 1 may confirm the degree to which the user U11 wants the product etc. by providing the user U11 with information on the product etc. included in the list information on the user U11. For example, the generation device 100 outputs information related to products in the list information as sound by using a voice assist terminal such as the terminal device AP21 (see FIG. 10), and acquires the reaction information of the user at that time, thereby obtaining the product. The degree that the user wants may be confirmed. For example, when the terminal device AP21 is arranged in the house HM, the generation device 100 outputs information related to products in the list information as sound, and obtains the reaction information of the user U11 at that time, thereby obtaining the product. The degree that the user U11 wants the user U11 may be confirmed. For example, when the generation system 1 includes a display unit such as a projector, the generation device 100 displays information related to the product in the list information on the display unit, and acquires the reaction information of the user at that time, thereby obtaining the product. The degree that the user wants may be confirmed. For example, when the projector is arranged in the house HM, the generation device 100 displays information related to the product in the list information on the projector, and acquires the reaction information of the user U11 at that time, whereby the product etc. The degree to which the user U11 wants may be confirmed.

  Further, the generation apparatus 100 may calculate the score using various conditions as appropriate. For example, the generation device 100 may change the score according to an event corresponding to the time when the reaction information is acquired. For example, the generation device 100 may calculate the score so that the score of a product or the like given as gift to the mid-year increases. For example, the generation device 100 may calculate the score so that the score of the product related to beer is high when there is a large amount of beer as the product gifted in the middle of the year. Further, the generation apparatus 100 may exclude a product or the like from the list information even if it is a product or the like once added to the list information when the user's reaction becomes weak.

[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. 2 is a diagram illustrating a configuration example of the generation apparatus 100 according to the embodiment. As illustrated in FIG. 2, the generation apparatus 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 acquires 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 and receives information to and from the terminal device AP11 and the terminal device 10. The communication unit 110 may transmit and receive information to and from an information processing apparatus that provides an electronic commerce service or a voice recognition server.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 2, the storage unit 120 according to the embodiment includes a user information storage unit 121, a reaction information storage unit 122, a list information storage unit 123, and a broadcast information storage unit 124.

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

  “User ID” indicates identification information for identifying a user. For example, the user identified by the user ID “U11” corresponds to the user U11 illustrated in the example of FIG. “Attribute information” indicates information related to the attribute of the user identified by the corresponding user ID. The “related user information” indicates a user having a predetermined relationship with the user identified by the corresponding user ID.

  The “attribute information” includes items such as “age” and “sex”. “Gender” indicates the gender of the user identified by the user ID. “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.

  The “related user information” includes items such as “user 1” and “user 2”. “User 1” and “User 2” indicate users who have a predetermined relationship with the user identified by the corresponding user ID.

  For example, in the example illustrated in FIG. 3, the age of the user identified by the user ID “U11” is “60s”, and the gender is “female”. The user identified by the user ID “U11” has a predetermined relationship with the user identified by the user ID “U12” and the user identified by the user ID “U13”.

  The user information storage unit 121 is not limited to the above, and may store various types of information according to the purpose. For example, the user information storage unit 121 may store information on demographic attributes of users and information on psychographic attributes. For example, the user information storage unit 121 may store information such as home, work place, interest / interest, name, family structure, income, and the like. The user information storage unit 121 may store user identification information. Details of this point will be described later.

(Reaction information storage unit 122)
The reaction information storage unit 122 according to the embodiment stores various types of information related to a user's reaction to information related to an object such as a product. FIG. 4 shows an example of the reaction information storage unit 122 according to the embodiment. FIG. 4 is a diagram illustrating an example of a reaction information storage unit according to the embodiment. The reaction information storage unit 122 illustrated in FIG. 4 includes items such as “user ID”, “reaction information”, “date and time”, and “target”.

  “User ID” indicates identification information for identifying a user. “Reaction information” indicates reaction information acquired for the user identified by the corresponding user ID. “Date and time” indicates the date and time when the corresponding reaction information is acquired. “Target” indicates the target of the corresponding reaction information. For example, “date and time” indicates the date and time when the corresponding reaction information is acquired from the user by the terminal device WA11 or the like.

  For example, in the example illustrated in FIG. 4, the reaction information IR10 and the reaction information IR11 are obtained for the user (user U11) identified by the user ID “U11”. Further, the date and time when the reaction information IR10 is acquired is the date and time W, and the target is the flower A that is a product identified by the product etc. ID “IT10”. Further, the date and time when the reaction information IR11 is acquired is the date and time X, and the target is the wallet A that is a product identified by the product etc. ID “IT11”.

  The reaction information storage unit 122 is not limited to the above, and may store various information according to the purpose.

(List information storage unit 123)
The list information storage unit 123 according to the embodiment stores various types of information regarding products and the like. For example, the list information storage unit 123 stores various types of information regarding products and the like for each group. FIG. 5 is a diagram illustrating an example of the list information storage unit according to the embodiment. The list information storage unit 123 illustrated in FIG. 5 includes items such as “user ID” and “gift recommendation list”.

  “User ID” indicates identification information for identifying a user. The “gift recommendation list” includes items such as “order”, “product”, and “score”. For example, “rank” indicates a ranking based on the magnitude of the score for the user identified by the corresponding user ID. “Product” indicates information for identifying a product or the like. “Score” indicates the score of the corresponding product or the like.

  For example, in the example shown in FIG. 5, the user identified by the user ID “U11”, as shown in the “gift recommendation list”, the score “of the wallet A that is the product identified by the product etc. ID“ IT11 ”“ 4.5 ”is the largest, the score“ 3.5 ”of the product identified by the product etc. ID“ IT12 ”is the second largest, and the score“ 3 ”of the product identified by the product etc. ID“ IT10 ” .1 "is the third largest.

  The list information storage unit 123 is not limited to the above, and may store various types of information according to the purpose. For example, the list information storage unit 123 may store information related to the date and time when the score is calculated.

(Broadcast information storage unit 124)
The broadcast information storage unit 124 according to the embodiment stores information related to public broadcasting. FIG. 6 shows an example of information related to public broadcasting stored in the broadcast information storage unit 124. As shown in FIG. 6, the broadcast information storage unit 124 includes items such as “broadcast date” and “broadcast station” as information related to public broadcasting.

  “Broadcast date and time” indicates the broadcast date and time related to public broadcasting. For example, “broadcast date” indicates the start time and end time of each date. The “broadcast station” includes “station A”, “station B”, and the like, and stores information related to public broadcasting corresponding to the broadcast date and time for each station. Specifically, “Broadcasting station” indicates information relating to the contents of programs such as “Station A” and “Station B” and contents of contents such as CMs (hereinafter sometimes referred to as “broadcast contents”). .

  For example, the broadcast content of the broadcast station “Station A” at the broadcast date “Date A” indicates that the content is A1. That is, the broadcast station “Station A” broadcasts the program “Content A1” at the broadcast date “Date A”. Further, for example, the broadcast content of the public broadcast of the broadcast station “Station B” at the broadcast dates “Date A” to “Date D” indicates that the content is B1.

  For example, the broadcast content of the public broadcast of the broadcast station “Station A” at the broadcast date “Date D” indicates that the content is A2. That is, the broadcast station “Station A” broadcasts the content A2, which is a mail-order program in the wallet A, on the broadcast date “Date D”.

  Note that the above is an example of information related to public broadcasting, and the broadcast information storage unit 124 stores not only information related to public broadcasting but also various information depending on the purpose as long as it is information related to public broadcasting. Good. For example, the broadcast information storage unit 124 may store information about performers.

(Control unit 130)
Returning to the description of FIG. 2, the control unit 130 is a controller and is stored in a storage device inside the 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. 2, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a calculation unit 133, a generation unit 134, and a provision unit 135, and functions and operations of generation processing described below. Realize or execute. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 2, and may be another configuration as long as the generation processing described later is performed.

(Acquisition part 131)
The acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires various types of information from an external information processing apparatus. For example, the acquisition unit 131 acquires reaction information regarding a user's response to information regarding a product or service. For example, the acquisition unit 131 acquires user reaction information detected by a predetermined detection unit. For example, the acquisition unit 131 acquires reaction information detected by a sound sensor, an image sensor, or a biological information sensor. In FIG. 1, the acquisition unit 131 acquires reaction information IR11 indicating that the pulse of the user U11 has increased from the terminal device AP11.

  For example, the acquisition unit 131 acquires the user's reaction information with respect to the information regarding the product or service estimated based on the reaction information regarding the user and the information regarding the content provided to the user when the user's reaction occurs. In FIG. 1, the acquisition unit 131 displays user response information with respect to information related to products or services estimated based on the user response information IR11 and broadcast information stored in the broadcast information storage unit 124 (see FIG. 6). get.

  For example, the acquisition unit 131 acquires a request for recommended information from the terminal device 10 used by the user. In FIG. 1, the acquisition unit 131 acquires a request for recommended information related to the user U11 from the user U12.

(Estimation unit 132)
The estimation unit 132 estimates predetermined information based on various information. For example, the estimation unit 132 estimates information based on the reaction information IR11. In FIG. 1, the estimation part 132 estimates what goods etc. the user U11 reacted to based on reaction information IR11. For example, the estimation unit 132 estimates that the product corresponding to the reaction information IR11 is the wallet A based on the reaction information IR11 and the broadcast information stored in the broadcast information storage unit 124 (see FIG. 6).

  For example, the estimation unit 132 may estimate a product or the like to which the user U11 has reacted based on information related to the user U11's television TV viewing habits. In addition, for example, when a terminal device that detects sound is arranged in the house HM, the estimation unit 132 is displayed on the TV TV in the house HM at the date and time X based on the audio information acquired from the terminal device. The content that has been stored may be estimated. For example, when the image sensor etc. which image the inside of the house HM are arrange | positioned, the estimation part 132 is based on the image information etc. which were acquired from the image sensor, etc., and user U11 is content A2 which is the mail order program of the wallet A. You may estimate that you were watching. Further, for example, when the user U11 is wearing a glasses-type terminal, the estimation unit 132 views the content A2 that is a mail-order program in the wallet A based on the image information acquired from the glasses-type terminal. It may be presumed that it was. That is, the estimation unit 132 may estimate the reacted target using any information as long as it can be estimated to which target the user U11 has reacted.

  For example, the estimation unit 132 estimates the reaction level of the user U11 based on the reaction information IR11. For example, the estimation unit 132 estimates the response level of the user U11 based on the amount of change in pulse included in the response information IR11. Here, the reaction level refers to a level based on the amount of change in the pulse before and after the user recognizes information related to the product or the like, and may be, for example, five levels A to E where A is the maximum. Good. In FIG. 1, the estimation unit 132 estimates that the user U11 has a reaction and the reaction level is A as shown in the estimation information RA11 based on the reaction information IR11.

(Calculation unit 133)
The calculation unit 133 calculates various information based on various information. For example, the calculation unit 133 calculates a score of each product or the like in the user based on reaction information corresponding to each product or the like. In FIG. 1, the calculation unit 133 calculates the score of the wallet A in the user U11 based on the reaction information IR11.

  The calculation unit 133 calculates the score of the wallet A that is the product identified by the product etc. ID “IT11” based on the reaction information IR11. For example, it is assumed that the higher the score of the wallet A in the user U11, the higher the user U11's interest in the wallet A, that is, the degree that the user U11 wants the wallet A. In the example of FIG. 1, the calculation unit 133 calculates the wallet A score of the user U11 as “4.5” based on the reaction information IR11. Note that the calculation unit 133 calculates the score of the wallet A in the user U11 as “4.5” in consideration of not only the reaction information IR11 but also the reaction information regarding the wallet A acquired in the past. For example, the calculation unit 133 may calculate the score of the wallet A in the user U11 based on the weight and reaction information that become larger as the acquisition date is newer. Note that the above is an example, and the calculation unit 133 may calculate a score related to a product or the like by the user by any criterion. Further, it is assumed that the calculation unit 133 calculates a score related to a product identified by the product etc. ID “IT10” and other products such as a product identified by the product etc. ID “IT12”.

(Generator 134)
The generation unit 134 performs various generations. For example, the generation unit 134 generates list information regarding products or services based on the reaction information acquired by the acquisition unit 131 as information regarding gifts to the user. For example, the production | generation part 134 produces | generates the list information regarding the goods or service presumed that a user wants to receive with reaction information. For example, the generation unit 134 generates list information based on the product or service score calculated based on the reaction information acquired by the acquisition unit 131.

  In the example of FIG. 1, the generation unit 134 generates list information as information related to gifts to the user U11. For example, the generation unit 134 generates list information including products and the like whose score regarding the user U11 is “3.0” or more. In the example of FIG. 1, the generation unit 134 generates a recommended gift list for the user U11 as shown in the list information storage unit 123 in FIG. Specifically, the generation unit 134 has the highest score “4.5” of the wallet A that is the product identified by the product etc. ID “IT11”, and the product etc. identified by the product etc. ID “IT12”. List information indicating that the score “3.5” is the second largest and the score “3.1” of the product identified by the product etc. ID “IT10” is the third largest. Moreover, the production | generation part 134 produces | generates the recommendation information provided to the user U12 based on the list information of the user U11.

(Providing unit 135)
The providing unit 135 provides various types of information. For example, the providing unit 135 provides various types of information by transmitting the various types of information to an external information processing apparatus. For example, the providing unit 135 provides other users with recommended information related to products or services that recommend gifts to users based on the list information generated by the generating unit 134.

  In FIG. 1, since the user U12 is included in the related user information of the user U11 in the user information storage unit 121 (see FIG. 3), the providing unit 135 provides recommended information regarding the user U11 to the user U12. For example, when the user U12 is not included in the related user information of the user U11 in the user information storage unit 121 (see FIG. 3), the providing unit 135 may not provide the recommended information regarding the user U11 to the user U12.

  The providing unit 135 generates recommended information to be provided to the user U12 based on the list information of the user U11. For example, the providing unit 135 provides information about the wallet A that is a product identified by the product etc. ID “IT11” having the highest score as recommended information to the user U12. The providing unit 135 may provide the list information of the user U11 to the user U12.

[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. 7 is a diagram illustrating a configuration example of the terminal device 10 according to the embodiment. As illustrated in FIG. 7, 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 network (not shown) by wire or wirelessly, and transmits / receives information to / from the generation device 100. The communication unit 11 may transmit and receive information to and from the terminal device AP11.

(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 applications installed in the terminal device 10, such as programs.

(Input unit 13)
The input unit 13 acquires various operations from the user. For example, the input unit 13 may accept various operations from the user via a display surface (for example, the display unit 153) by a touch panel function. Further, the input unit 13 may accept various operations from buttons provided on the terminal device 10 or a keyboard or mouse connected to the terminal device 10.

(Output unit 14)
The output unit 14 is a display screen such as a smartphone or 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 for example, various programs stored in a storage device such as the storage unit 12 in the terminal device 10 are executed by the CPU, MPU, or the like using the RAM as a work area. Realized. For example, the various programs include installed application programs. 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. 7, the control unit 15 includes a request unit 151, a reception unit 152, and a display unit 153, and realizes or executes a display processing function and operation described below. Note that the internal configuration of the control unit 15 is not limited to the configuration illustrated in FIG. 7, and may be another configuration as long as it performs a display process described later. Further, the connection relationship between the processing units included in the control unit 15 is not limited to the connection relationship illustrated in FIG. 7, and may be another connection relationship.

  The request unit 151 makes various requests. For example, the request unit 151 makes various requests to an external information processing apparatus. For example, the request unit 151 transmits various requests to the generation device 100 and the terminal device AP11 according to the user operation acquired by the input unit 13. For example, the request unit 151 requests recommended information regarding another user from the generation apparatus 100 in accordance with a user operation. Further, for example, in the example of FIG. 1, the request unit 151 requests recommended information regarding the user U11 from the generation device 100 in accordance with the operation of the user U12.

  The receiving unit 152 receives various types of information from an external information processing apparatus. For example, the reception unit 152 receives information provided from the generation device 100. For example, the reception unit 152 receives recommendation information from the generation device 100. For example, the receiving unit 152 receives recommendation information related to a user other than the user who uses the terminal device 10 from the generation device 100. In FIG. 1, the reception unit 152 receives recommendation information related to the user U11 from the generation device 100. The receiving unit 152 may receive various information from the terminal device AP11.

  The display unit 153 displays various information. For example, the display unit 153 displays various information received by the receiving unit 152. For example, the display unit 153 displays the recommended information received from the generation apparatus 100. In FIG. 1, the display unit 153 displays the recommended information related to the user U11 received from the generation device 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 display process described above is performed by a predetermined application or when the display process is performed by a dedicated application, the control unit 15 may include, for example, an application control unit that controls the predetermined application or the dedicated application. .

[4. Processing flow
Next, the procedure of the generation process by the generation system 1 according to the embodiment will be described with reference to FIGS. 8 and 9. 8 and 9 are flowcharts illustrating an example of the generation process according to the embodiment. Specifically, FIG. 8 is a flowchart illustrating an example of processing up to generation of list information. FIG. 9 is a flowchart illustrating an example of a process for providing recommended information based on the list information.

  First, processing until generation of list information will be described with reference to FIG. As illustrated in FIG. 8, the acquisition unit 131 of the generation apparatus 100 acquires user reaction information for a product or the like (step S101). In the example of FIG. 1, the acquisition unit 131 acquires the reaction information IR11 of the user U11 from the terminal device AP11.

  Thereafter, the calculation unit 133 of the generation device 100 calculates a score of a product or the like based on the reaction information (Step S102). In the example of FIG. 1, the calculation unit 133 calculates the score of the wallet A in the user U11 based on the reaction information IR11.

  Thereafter, the generation unit 134 of the generation apparatus 100 determines whether the score calculated in step S102 is equal to or greater than a predetermined threshold (step S103). When the score calculated in step S102 is not equal to or greater than the predetermined threshold (step S103: No), the generation unit 134 ends the process. For example, when the score of the wallet A in the user U11 is less than “3.0”, the generation unit 134 ends the process. Note that the generation unit 134 may generate list information that does not include the wallet A when the score of the wallet A in the user U11 is less than “3.0”.

  On the other hand, when the score calculated in step S102 is greater than or equal to a predetermined threshold (step S103: Yes), the generation unit 134 generates list information including the products for which the score is calculated in step S102 (step S104). In the example of FIG. 1, the generation unit 134 generates list information including the wallet A because the score “4.5” of the wallet A in the user U11 is “3.0” or more. Note that the generation unit 134 may calculate a score of each product or the like in the user U11 and generate list information including products or the like whose calculated score is equal to or greater than a predetermined threshold.

  Next, processing up to provision of recommended information based on list information will be described with reference to FIG. As illustrated in FIG. 9, the acquisition unit 131 of the generation apparatus 100 acquires a request for recommended information regarding one user (step S201). For example, the acquisition unit 131 acquires a request for recommended information related to a user other than the user who uses the terminal device 10 from the terminal device 10. In the example of FIG. 1, the acquisition unit 131 acquires a request for recommended information regarding the user U11 from the terminal device 10 used by the user U12.

  Thereafter, the generation unit 134 of the generation apparatus 100 determines whether or not the requesting user can request information on one user (step S202). If the requesting user cannot request the information of one user (step S202: No), the generation unit 134 ends the process. If the generation unit 134 determines that the requesting user cannot request information on one user, the generation unit 134 cannot request the information on the one user from the providing unit 135 of the generation apparatus 100. May be provided.

  On the other hand, when the generation unit 134 determines that the requesting user can request information on one user (step S202: Yes), the providing unit 135 provides recommended information based on the list information on one user to the requesting user. (Step S203). In the example of FIG. 1, since the user U12 is included in the related user information of the user U11 in the user information storage unit 121 (see FIG. 3), the generation unit 134 determines that the user U11 information can be requested. Therefore, the generation unit 134 generates recommended information related to the user U11 based on the list information related to the user U11. Then, the providing unit 135 provides the recommended information regarding the user U11 generated by the generating unit 134 to the user U12. Note that if all users can request recommended information regarding one user, the generation apparatus 100 may perform the process of step S203 without performing the determination of step S202.

[5. (Modification)
In the above example, the list information related to the products estimated to be given by the user is generated, but the list information may be a list of products that satisfy various conditions. For example, the list information may be a list of products or the like estimated that the user does not want to give a gift. This point will be described below with reference to FIGS. In addition, about the point similar to embodiment, description is abbreviate | omitted suitably.

[5-1. Generation process)
First, the generation process according to the modification will be described. FIG. 10 is a diagram illustrating an example of the generation process according to the modification. The generation apparatus 100A illustrated in FIG. 10 provides a generation service that generates list information about products or services based on reaction information about user responses to information about products or services as information about gifts to users. FIG. 10 shows an example in which recommended information is requested at the time of a predetermined event “Chinese gift”.

  As illustrated in FIG. 10, the generation system 1A includes a terminal device AP21, a terminal device 10, and a generation device 100A. The terminal device AP21, the terminal device 10, and the generation device 100A are communicably connected via a predetermined network. Note that the generation system 1A illustrated in FIG. 10 may include a plurality of terminal devices AP21, a plurality of terminal devices 10, and a plurality of generation devices 100A.

  In the example illustrated in FIG. 10, the terminal device AP21 is a so-called voice assist terminal, and is a terminal device that detects surrounding sounds with a sound sensor and performs various processes according to the detected sounds. For example, the terminal device AP21 is a terminal device that processes a user's utterance. In the example of FIG. 10, the terminal device AP21 transmits to the generating device 100A as reaction information regarding the user when detecting ambient environmental sounds such as the user's speech.

  The terminal device AP21 is not limited to the above, and any terminal device can be used as long as the terminal device AP11 can acquire reaction information on a user's product and the like and can transmit the reaction information to the generation device 100A. It may be. In addition, transmission of reaction information to 100 A of production | generation apparatuses here also includes transmitting reaction information to the production | generation apparatus 100A via another apparatus. For example, the terminal device AP21 may be any terminal device as long as it is a device that can communicate with the generation device 100A via a predetermined network, that is, a so-called IoT device.

  Further, the generation apparatus 100A may have a voice recognition function. Further, the generation apparatus 100A may be able to acquire information from a voice recognition server that provides a voice recognition service. In this case, the generation system 1A may include a voice recognition server. In the example of FIG. 10, the description is omitted on the assumption that the generation apparatus 100A and the speech recognition server appropriately recognize various user utterances and estimate the uttered user using various conventional techniques.

  Further, in the example of FIG. 10, the case where the user speaks the name of the product or the like and the target (the product or the like) reacts to is included in the audio information. It may be estimated on the basis of other information such as content that the target (product or the like) has reacted to. Further, the generation device 100A may estimate a target (product or the like) that the user has reacted to based on the terminal device AP21 that is a voice assist terminal and the image information that the user is viewing from the image sensor or the like.

  In FIG. 10, the terminal device AP21, which is a voice assist terminal, is arranged in the house HM. Here, for example, the user U11 in the house HM performs the utterance PA21 "I got beer A again" around the terminal device AP21. Thereby, the terminal device AP21 acquires the utterance PA21 “I got beer A again” as an input (step S21). In step S21, it is assumed that the user U11 has uttered the utterance PA21 with a lower voice tone and lower volume than a normal utterance. Then, the terminal device AP21 transmits the acquired voice information of the utterance PA21 as the reaction information IR21 to the generation device 100A (step S22).

  The terminal device AP21 may transmit the voice information of the utterance PA21 to the voice recognition server, acquire the character information of the utterance PA21 from the voice recognition server, and transmit the acquired character information to the generation device 100A. In this case, the terminal device AP21 may transmit information indicating that the user who performed the acquired utterance PA21 is the user U11 to the generation device 100A. When the terminal device AP21 has a voice recognition function, the terminal device AP21 may transmit only the reaction information that needs to be transmitted to the generation device 100A to the generation device 100A.

  100 A of production | generation apparatuses which acquired reaction information IR21 from terminal device AP21 estimate information based on reaction information IR21 (step S23). For example, the generating apparatus 100A analyzes the acquired reaction information IR21, and estimates that the user who performed the utterance PA21 is the user U11. In addition, the estimation of the user who performed the utterance PA21 may be performed by the generation device 100A or another device. When another apparatus estimates the user who performed the utterance PA21, the generation apparatus 100A acquires information for estimating the user who performed the utterance PA21 from the other apparatus.

  Further, for example, the generating apparatus 100A estimates that the user U11 is reacting to the beer A that is a product or the like by analyzing the acquired reaction information IR21. For example, 100 A of production | generation apparatuses convert the acquired reaction information IR21 into character information, and estimate that the user U11 is reacting with respect to beer A based on the character information after conversion. For example, when the generation apparatus 100A analyzes the character information acquired from the reaction information IR21 using various conventional techniques such as syntax analysis as appropriate, the user U11 reacts to the beer A that is a product or the like. presume. For example, the generating apparatus 100A estimates that the user U11 is not responding to the beer A based on the utterance PA21 “I got the beer A again”. That is, 100 A of production | generation apparatuses acquire reaction information IR21 which shows that the user U11 who performed utterance PA21 is reacting bad with respect to beer A. For example, the generating apparatus 100A determines the content of the user's utterance based on the content of the utterance PA21, such as “favorite”, “somewhat favorable”, “normal”, “somewhat unfavorable”, “not favorable”, etc. It may be estimated at which stage. Note that the above is an example, and the generation apparatus 100A may estimate by any method as long as the content of the user's utterance can be estimated.

  Further, for example, the generating apparatus 100A estimates the reaction level of the user U11 based on the reaction information IR21. For example, the generating apparatus 100A estimates the reaction level of the user U11 based on the content of the reaction information IR21, the tone of the user's voice, and the like. The reaction level here refers to a level based on the content of the utterance when the user refers to the product, etc., the tone or volume of the user's voice, etc. There may be five levels. In FIG. 10, based on the reaction information IR21, the generation device 100A estimates that the user U11 is reacting but is not good and the reaction level is E, as indicated by the estimation information RA21.

  Thereafter, the generation device 100A calculates the score of the beer A in the user U11 based on the reaction information IR21 (step S24). For example, the generating apparatus 100A may calculate the score based on a value obtained by multiplying each variable by a predetermined coefficient, using the content of the utterance, the tone of the voice, the volume, and the like as variables. For example, the generating apparatus 100A may calculate the total value of values obtained by multiplying each of the variables by a predetermined coefficient, using the utterance content, the tone of the voice, the volume, and the like as variables. Based on the reaction information IR21, the generation device 100A calculates the score of beer A that is a product or the like identified by the product etc. ID “IT21”. For example, it is assumed that the higher the score of the beer A in the user U11, the higher the user U11's interest in the beer A, that is, the degree that the user U11 wants the beer A. In the example of FIG. 10, as illustrated in the score information IS21, the generation device 100A calculates the beer A score for the user U11 as “0.2” based on the reaction information IR21. Note that the generation device 100A calculates the score of the beer A in the user U11 as “0.2” by adding not only the reaction information IR21 but also the reaction information regarding the beer A acquired in the past. For example, 100 A of production | generation apparatuses may calculate the score of the beer A in the user U11 based on the weight and reaction information which become so large that an acquisition date is new. Note that the above is an example, and the generating apparatus 100A may calculate a score related to a product or the like by the user based on any criterion. Further, it is assumed that the generating apparatus 100A also calculates a score related to a product identified by the product etc. ID “IT20” and other products such as a product identified by the product etc. ID “IT22”.

  And 100 A of production | generation apparatuses produce | generate list information as information regarding the gift to the user U11 (step S25). For example, the generating apparatus 100A generates list information including products and the like whose score regarding the user U11 is less than “1.0”. In the example of FIG. 10, the generating apparatus 100A generates a list of gifts not recommended for the user U11 as shown in the list information storage unit 123A in FIG. Specifically, the generating apparatus 100A has the lowest score “0.1” of the product identified by the product etc. ID “IT25”, and the beer A which is the product etc. identified by the product etc. ID “IT21”. List information indicating that the score “0.2” is the second smallest and the score “0.4” of the product identified by the product etc. ID “IT20” is the third smallest.

  Thereafter, the user U12 requests recommended information regarding the user U11 from the generation device 100A (step S26). For example, the user U12 requests the recommendation information regarding the user U11 from the generation device 100A by operating the terminal device 10. Since the user U12 has a predetermined relationship (parent-child relationship) with the user U11, it is assumed that the user U12 has the authority to request recommended information regarding the user U11.

  The generating apparatus 100A that has acquired a request for recommended information related to the user U11 from the user U12 generates recommended information to be provided to the user U12 based on the list information of the user U11. In the example of FIG. 10, the generation device 100A determines that the date and time when the recommended information is requested is at the time of the predetermined event “Chinese origin”, and identifies the event by the event ID “IV21” in the product information storage unit 125. A product group associated with the event “Otogen” is identified.

  In the example of FIG. 10, the product group associated with the event “Otogen” in the product information storage unit 125 includes the beer A identified by the product etc. ID “IT21” and the product etc. ID “IT201”. It is assumed that ham A to be identified, juice A identified by the product etc. ID “IT202”, and the like are included. Specifically, in the merchandise group associated with the event “Chinese yuan” in the merchandise information storage unit 125, the score “4.1” of beer A is the largest, and the score “3.2” of ham A is 2. It is assumed that the score “3.1” of juice A is the third largest and the third largest.

  The generating apparatus 100A excludes products in the list of gifts not recommended to the user U11 in the list information storage unit 123A from the product group that is a candidate for recommended information related to the user U11 (step S27). Specifically, the generation device 100A selects a product in the list of gifts not recommended to the user U11 in the list information storage unit 123A from the product group associated with the event “Otogen” in the product information storage unit 125. The candidate recommended information regarding the user U11 is excluded. In other words, the generation apparatus 100A uses, as recommended information, information on products other than the beer A identified by the product etc. ID “IT21” in the product group associated with the event “Chinese yuan” in the product information storage unit 125. Generate. Note that step S27 may be performed in advance before step S26.

  In the example of FIG. 10, the generation apparatus 100 </ b> A is identified by the product ID “IT201” having the highest score except for beer A among the product groups associated with the event “Chinese yuan” in the product information storage unit 125. Information relating to ham A, which is a product to be sold, is provided as recommended information to the user U12 (step S28). The generating apparatus 100A may provide the user U12 with a list obtained by removing the beer A from the product group associated with the event “Chinese yuan” in the product information storage unit 125.

  As described above, the generating apparatus 100A calculates the score of each product or the like based on the user's reaction information with respect to the information related to each product or the like. Further, the generation device 100A can appropriately generate information related to gifts to the user by generating list information based on the calculated score. In addition, the generation device 100A can recommend other users a product or the like estimated to be pleasing by providing recommended information based on the generated list information on gifts to the user to other users. . In the above example, the case where the user's reaction is not favorable as the score approaches “0” is illustrated, but the generating apparatus 100A may calculate a score that is a negative value. For example, the generation device 100A calculates a score “0” when there is no user response, calculates a score that becomes a larger positive value as the user response is favorable, and the user response is not favorable. You may calculate the score which becomes a big negative value, so that it is reaction.

[5-2. Configuration of the generator
Next, the configuration of the generation apparatus 100A according to the modification will be described with reference to FIG. FIG. 11 is a diagram illustrating a configuration example of a generation device 100A according to a modification. As illustrated in FIG. 11, the generation device 100A includes a communication unit 110, a storage unit 120A, and a control unit 130A. Note that the description of the generation device 100A that is the same as the generation device 100 according to the embodiment will be omitted as appropriate.

(Storage unit 120A)
The storage unit 120A 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. As illustrated in FIG. 11, the storage unit 120A according to the modification includes a user information storage unit 121A, a reaction information storage unit 122, a list information storage unit 123A, and a product information storage unit 125.

(User information storage unit 121A)
The user information storage unit 121A according to the modification stores various types of information related to the user. For example, the user information storage unit 121A stores various information related to user attributes. FIG. 12 is a diagram illustrating an example of a user information storage unit according to the modification. The user information storage unit 121A illustrated in FIG. 12 includes items such as “user ID”, “attribute information”, “related user information”, and “identification information”. The user information storage unit 121A according to the modified example is different from the user information storage unit 121 according to the embodiment in that it includes an item “identification information”.

  “Identification information” includes items such as “voice”. “Voice” indicates voice information. In the example of FIG. 12, the voice information of each user is conceptually indicated by symbols “VP11” to “VP13” and the like, and “voice” stores a file path name indicating the storage location thereof. Also good. Further, the identification information is not limited to voice, and any item may be included as long as it is an item corresponding to information used for identifying a user. For example, the “identification information” may include various information for identifying the user, such as “login ID”, “face photograph (image information)”, “fingerprint information”, and “vein information”.

(List information storage unit 123A)
The list information storage unit 123A according to the modification stores various types of information related to products and the like. For example, the list information storage unit 123A stores various types of information regarding products for each group. FIG. 13 is a diagram illustrating an example of the list information storage unit according to the modification. The list information storage unit 123A illustrated in FIG. 13 includes items such as “user ID” and “gift non-recommended list”.

  “User ID” indicates identification information for identifying a user. The “gift deprecation list” includes items such as “order”, “product”, and “score”. For example, “rank” indicates a ranking based on the magnitude of the score for the user identified by the corresponding user ID. “Product” indicates information for identifying a product or the like. “Score” indicates the score of the corresponding product or the like.

  For example, in the example shown in FIG. 13, the user identified by the user ID “U11” has a score “0.1” of the product identified by the product etc. ID “IT25” as shown in the “gift non-recommended list”. ”Is the smallest, the score“ 0.2 ”of beer A that is the product identified by the product etc. ID“ IT21 ”is the second smallest, and the score“ of the product etc. identified by the product etc. ID “IT20” “ 0.4 "indicates the third smallest.

  Note that the list information storage unit 123A is not limited to the above, and may store various types of information according to the purpose. For example, the list information storage unit 123A may store information related to the date and time when the score is calculated.

(Product information storage unit 125)
The merchandise information storage unit 125 according to the modification stores information related to merchandise and the like associated with a predetermined event. In FIG. 14, an example of the information regarding the goods etc. which are memorize | stored in the merchandise information storage part 125 is shown. As illustrated in FIG. 14, the product information storage unit 125 includes items such as “event ID” and “product group” as information related to a product associated with a predetermined event.

  “Event ID” indicates information for identifying an event. The “product group” includes items such as “product” and “score”. “Product” indicates information for identifying a product or the like associated with the event. “Score” indicates a score of a product or the like associated with the event.

  As shown in FIG. 13, the product group associated with the event “Otogen” identified by the event ID “IV21” includes the beer A identified by the product etc. ID “IT21” and the product etc. ID “IT201”. Ham A identified by, juice A identified by the product etc. ID “IT202”, and the like are included. In addition, in the product group associated with the event “Chinese yuan” identified by the event ID “IV21”, the score of beer A is “4.1”, and the score of ham A is “3.2”. The score of juice A is “3.1”.

  Note that the above is an example of information related to a product or the like associated with the event, and the product information storage unit 125 is not limited to the information related to the product or the like associated with the event, but the product associated with the event. Various information may be stored according to the purpose. For example, the product information storage unit 125 may store information related to the period of each event.

(Control unit 130A)
Returning to the description of FIG. 11, the control unit 130 </ b> A is a controller, for example, various programs (corresponding to an example of a generation program) stored in a storage device inside the generation apparatus 100 </ b> A by a CPU, an MPU, or the like. Is implemented by using the RAM as a work area. The control unit 130A is a controller, and is realized by an integrated circuit such as an ASIC or FPGA, for example.

  As shown in FIG. 11, the control unit 130A includes an acquisition unit 131, an estimation unit 132, a calculation unit 133, a generation unit 134A, and a provision unit 135, and functions and operations of generation processing described below. Realize or execute. Note that the internal configuration of the control unit 130A is not limited to the configuration illustrated in FIG. 11, and may be another configuration as long as it performs a generation process described later.

(Generator 134A)
The generation unit 134A performs various generations. For example, the generation unit 134A generates list information regarding products or services based on the reaction information acquired by the acquisition unit 131 as information regarding gifts to the user. For example, the generation unit 134A generates list information related to products or services that are estimated not to be received by the user based on the reaction information. For example, the generation unit 134A generates list information based on the product or service score calculated based on the reaction information acquired by the acquisition unit 131.

  In the example of FIG. 10, the generation unit 134A generates list information as information related to gifts to the user U11. For example, the generation unit 134A generates list information including products and the like whose score relating to the user U11 is less than “1.0”. In the example of FIG. 10, the generation unit 134A generates a list of gifts that are not recommended for the user U11 as shown in the list information storage unit 123A in FIG. Specifically, the generation unit 134A has the minimum score “0.1” of the product identified by the product etc. ID “IT25”, and the beer A that is the product etc. identified by the product etc. ID “IT21”. List information indicating that the score “0.2” is the second smallest and the score “0.4” of the product identified by the product etc. ID “IT20” is the third smallest. Further, the generation unit 134A generates recommended information to be provided to the user U12 based on the list information of the user U11.

  In addition, the generation unit 134A generates list information by excluding products or services that are estimated not to be received by the user based on reaction information from a product group including predetermined products or services. In FIG. 10, the generation unit 134A excludes products in the list of gifts not recommended to the user U11 in the list information storage unit 123A from the product group that is a candidate for recommended information related to the user U11. For example, the generation unit 134A selects, from the product group associated with the event “Chinese yuan” in the product information storage unit 125, the product in the list of gifts not recommended to the user U11 in the list information storage unit 123A, the user U11 It is excluded as a candidate of recommended information regarding. In addition, for example, the generation unit 134A recommends information on products, etc., excluding the beer A identified by the product etc. ID “IT21” from the product group associated with the event “Chinese yuan” in the product information storage unit 125. Generate as information.

[5-3. Processing flow
Next, the procedure of the generation process by the generation system 1A according to the modification will be described with reference to FIGS. 15 and 16 are flowcharts illustrating an example of the generation process according to the modification. Specifically, FIG. 15 is a flowchart illustrating an example of processing up to generation of list information. FIG. 16 is a flowchart illustrating an example of a process for providing recommended information based on list information.

  First, processing until generation of list information will be described with reference to FIG. As illustrated in FIG. 15, the acquisition unit 131 of the generation device 100A acquires user reaction information for a product or the like (step S301). In the example of FIG. 10, the acquisition unit 131 acquires the reaction information IR21 of the user U11 from the terminal device AP21.

  Thereafter, the calculation unit 133 of the generation device 100A calculates a score of a product or the like based on the reaction information (Step S302). In the example of FIG. 10, the calculation unit 133 calculates the score of beer A in the user U11 based on the reaction information IR21.

  Thereafter, the generation unit 134A of the generation device 100A determines whether the score calculated in step S302 is less than a predetermined threshold (step S303). If the score calculated in step S302 is not less than the predetermined threshold (step S303: No), the generation unit 134A ends the process. For example, the generation unit 134A ends the process when the score of the beer A in the user U11 is “1.0” or more. In addition, 134 A of production | generation parts may produce | generate the list information which does not contain beer A, when the score of the beer A in the user U11 is "1.0" or more.

  On the other hand, when the score calculated in step S302 is less than the predetermined threshold (step S303: Yes), the generation unit 134A generates list information including the products for which the score is calculated in step S302 (step S304). In the example of FIG. 10, since the score “0.2” of beer A in the user U11 is less than “1.0”, the generation unit 134A generates list information including beer A. The generation unit 134A may calculate a score of each product or the like in the user U11, and generate list information including products or the like whose calculated score is less than a predetermined threshold.

  Next, processing until provision of recommended information based on list information will be described with reference to FIG. As illustrated in FIG. 16, the acquisition unit 131 of the generation device 100A acquires a request for recommended information regarding one user (step S401). For example, the acquisition unit 131 acquires a request for recommended information related to a user other than the user who uses the terminal device 10 from the terminal device 10. In the example of FIG. 10, the acquisition unit 131 acquires a request for recommended information related to the user U11 from the terminal device 10 used by the user U12.

  Thereafter, the generation unit 134A of the generation device 100A determines whether the requesting user can request information of one user (step S402). 134 A of production | generation parts complete | finish a process, when the user of a request origin cannot request | require the information of one user (step S402: No). In addition, when the generation unit 134A determines that the requesting user cannot request information on one user, the generation unit 134A cannot request the information on the one user from the providing unit 135 of the generation device 100A. May be provided.

  On the other hand, when the generation unit 134A determines that the requesting user can request information on one user (step S402: Yes), the providing unit 135 recommends excluding products included in the list information on one user. Information is provided to the requesting user (step S403). In the example of FIG. 10, the generation unit 134A is identified by the product ID “IT201” having the highest score except for beer A among the product group associated with the event “Otogen” in the product information storage unit 125. Information relating to ham A, which is a product to be sold, is provided to the user U12 as recommended information. Note that if all users can request recommended information regarding one user, the generating apparatus 100A may perform the process of step S403 without performing the determination of step S402.

[6. effect〕
As described above, the generation device 100 according to the embodiment and the generation device 100A according to the modification include the acquisition unit 131 and the generation units 134 and 134A. The acquisition unit 131 acquires reaction information related to a user's response to information related to a product or service. The generation units 134 and 134A generate list information regarding products or services based on the reaction information acquired by the acquisition unit 131 as information regarding gifts to the user.

  Accordingly, the generation device 100 according to the embodiment and the generation device 100A according to the modification can appropriately generate information related to the gift to the user based on the user's reaction information with respect to the information regarding each product or the like.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the generation units 134 and 134A generate list information related to products or services that are estimated to be received by the user based on the reaction information.

  Accordingly, the generation device 100 according to the embodiment and the generation device 100A according to the modification generate information on the gifts to the user by generating list information on products or services that are estimated to be received by the user based on the reaction information. Can be generated appropriately.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the generation units 134 and 134A generate list information related to products or services that are estimated to be not received by the user based on the reaction information.

  As a result, the generation device 100 according to the embodiment and the generation device 100A according to the modified example relate to gifts to the user by generating list information related to products or services that the user does not want to receive from the reaction information. Information can be generated appropriately.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the generation units 134 and 134A are estimated that the user does not want to receive from the product group including the predetermined product or service based on the reaction information. List information is generated by excluding products or services.

  As a result, the generation device 100 according to the embodiment and the generation device 100A according to the modified example exclude products or services that are estimated to be not received by the user based on the reaction information from the product group including the predetermined products or services. Accordingly, it is possible to appropriately generate information related to the gift to the user.

  In addition, the generation device 100 according to the embodiment and the generation device 100A according to the modification include a providing unit 135. Based on the list information generated by the generation units 134 and 134A, the providing unit 135 provides other users with recommended information related to products or services that recommend gifts to users.

  Accordingly, the generation device 100 according to the embodiment and the generation device 100A according to the modified example are presumed that the user is pleased by providing recommended information based on the generated list information regarding gifts to the user to other users. Products and the like can be recommended to other users.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the acquisition unit 131 acquires user reaction information detected by a predetermined detection unit.

  As a result, the generation device 100 according to the embodiment and the generation device 100A according to the modification appropriately assign information related to gifts to the user based on the user's reaction information with respect to information regarding each product detected by the predetermined detection unit. Can be generated.

  In the generation device 100 according to the embodiment and the generation device 100A according to the modification, the acquisition unit 131 acquires reaction information detected by a sound sensor, an image sensor, or a biological information sensor.

  As a result, the generation device 100 according to the embodiment and the generation device 100A according to the modified example are based on the user's reaction information with respect to information regarding each product detected by the sound sensor, the image sensor, or the biological information sensor. It is possible to appropriately generate information related to gifts.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the acquisition unit 131 is based on reaction information regarding the user and information regarding content provided to the user when the user's reaction occurs. The user's reaction information with respect to information on the estimated product or service is acquired.

  As a result, the generation device 100 according to the embodiment and the generation device 100A according to the modification appropriately assign information related to gifts to the user based on the user's reaction information with respect to information regarding products and the like that are estimated to have been reacted by the user. Can be generated.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the generation units 134 and 134A are based on the product or service score calculated based on the reaction information acquired by the acquisition unit 131. Generate list information.

  Thereby, the generating apparatus 100 according to the embodiment and the generating apparatus 100A according to the modification calculate the score of each product based on the reaction information of the user with respect to the information regarding each product, and the list information based on the calculated score By generating, it is possible to appropriately generate information related to gifts to the user.

  Further, in the generation device 100 according to the embodiment and the generation device 100A according to the modification, the generation units 134 and 134A generate list information based on the scores of products or services that change based on information on a predetermined event. .

  Accordingly, the generation device 100 according to the embodiment and the generation device 100A according to the modification calculate a score of each product based on the user's reaction information with respect to the information regarding each product and the like, and based on information about a predetermined event By generating the list information based on the scores of each product etc., it is possible to appropriately generate information related to gifts to the user.

[7. Hardware configuration)
The generation apparatus 100 according to the embodiment and the generation apparatus 100A according to the modification described above are realized by a computer 1000 having a configuration illustrated in FIG. 17, for example. FIG. 17 is a hardware configuration diagram illustrating an example of a computer that implements the function of the generation 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 apparatus 100 or the generation apparatus 100A, the CPU 1100 of the computer 1000 implements the functions of the control units 130 and 130A 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. However, these are merely examples, and various aspects can be made based on the knowledge of those skilled in the art including the aspects described in the disclosure line of the invention. It is possible to carry out the present invention in other forms that have been modified and improved.

[8. 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 Generation system 100 Generation apparatus 121 User information storage part 122 Reaction information storage part 123 List information storage part 124 Broadcast information storage part 130 Control part 131 Acquisition part 132 Estimation part 133 Calculation part 134 Generation part 135 Provision part 10 Terminal apparatus AP11 Terminal apparatus (Wearable terminal)
AP21 terminal device (voice assist terminal)
N network

Claims (13)

An acquisition unit for acquiring reaction information on a user's reaction to information on a product or service;
A generation unit that generates list information on products or services based on the reaction information acquired by the acquisition unit as information on gifts to the user;
Providing recommended information that recommends to other users having a predetermined relationship with the user products or services corresponding to the list information generated by the generating unit as products or services to give the user,
A generating apparatus comprising: The generator is
The generation apparatus according to claim 1, wherein list information relating to products or services estimated to be received by the user based on the reaction information is generated. The generator is
2. The generating apparatus according to claim 1, wherein list information relating to products or services that are estimated not to be received by the user is generated based on the reaction information. The generator is
The list information is generated by excluding products or services that are estimated to be not received by the user based on the reaction information from a product group including a predetermined product or service. The production | generation apparatus of any one. A providing unit that provides other users with recommended information related to products or services that recommend gifts to the user based on the list information generated by the generating unit;
The generation device according to claim 1, further comprising: The acquisition unit
The generating apparatus according to claim 1, wherein the reaction information of the user detected by a predetermined detecting unit is acquired. The acquisition unit
The generation apparatus according to claim 6, wherein the reaction information detected by a sound sensor, an image sensor, or a biological information sensor is acquired. The acquisition unit
Obtaining the reaction information of the user with respect to information on a product or service estimated based on reaction information on the user and information on content provided to the user when the user's reaction occurs. The generation device according to claim 1. The generator is
9. The generation apparatus according to claim 1, wherein the list information is generated based on a product or service score calculated based on the reaction information acquired by the acquisition unit. . The generator is
The generation apparatus according to claim 9, wherein the list information is generated based on a score of a product or service that fluctuates based on information related to a predetermined event. The providing unit includes:
The said recommendation information corresponding to the said list information produced | generated by the said production | generation part is provided to the said other user who has kinship relation with the said user. The Claim 1 characterized by the above-mentioned. Generator. A generation method executed by a computer,
An acquisition step of acquiring reaction information related to a user's response to information about a product or service;
A generation step of generating list information on products or services based on the reaction information acquired by the acquisition step as information on gifts to the user;
Providing recommended information that recommends products or services corresponding to the list information generated by the generating step to other users having a predetermined relationship with the user as products or services to give to the user;
The generation method characterized by including. An acquisition procedure for obtaining reaction information about a user's reaction to information about a product or service;
A generation procedure for generating list information on products or services based on the reaction information acquired by the acquisition procedure as information on gifts to the user;
Providing recommended information that recommends to other users having a predetermined relationship with the user products or services corresponding to the list information generated by the generating procedure as products or services to give to the user;
A program for causing a computer to execute.

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