JP2021056558A - Generation device, generation method, and generation program - Google Patents

Abstract

To suitably estimate an affinity between a pet and a keeper.SOLUTION: A generation device according to the present application comprises: an acquisition unit which acquires pet behavior information showing behavior of a pet and keeper behavior information showing behavior of a keeper about the pet; a determination unit which determines a keyword showing a relationship between the pet and the keeper on the basis of the pet behavior information and the keeper behavior information; and a generation unit which generates a content showing the keyword.SELECTED DRAWING: Figure 2

Description

The present invention relates to a generator, a generator and a generator.

Conventionally, a technique for estimating compatibility between a pet and an owner has been known. As an example of such a technique, a technique for predicting compatibility with a buyer based on the date of birth of a pet is known.

JP-A-2017-162007

However, it may not be possible to say that the above-mentioned conventional techniques can show appropriate compatibility.

For example, since the above-mentioned conventional technique only provides the result of fortune-telling such as four pillars of destiny, it may not be possible to say that the compatibility between the pet and the owner is properly estimated.

The present application has been made in view of the above, and an object of the present application is to appropriately estimate the compatibility between a pet and an owner.

The generator according to the present application is based on an acquisition unit that acquires pet behavior information indicating pet behavior and owner behavior information indicating the owner's behavior regarding the pet, the pet behavior information, and the owner behavior information. It is characterized by having a determination unit for determining a keyword indicating a relationship between the pet and the owner, and a generation unit for generating content indicating the keyword.

According to one aspect of the embodiment, the compatibility between the pet and the owner can be appropriately estimated.

FIG. 1 is a diagram showing an example of a generation process executed by the generation device according to the embodiment. FIG. 2 is a diagram showing an example of the configuration of the generation system according to the embodiment. FIG. 3 is a diagram showing an example of a question database for owners according to an embodiment. FIG. 4 is a diagram showing an example of a pet question database according to the embodiment. FIG. 5 is a diagram showing an example of a combination name database according to the embodiment. FIG. 6 is a diagram showing a display example of a screen according to the embodiment. FIG. 7 is a diagram showing an application example of the generation process according to the embodiment. FIG. 8 is a flowchart showing an example of the flow of the generation process executed by the generation device according to the embodiment. FIG. 9 is a diagram showing an example of a hardware configuration.

The description of this specification and the accompanying drawings will clarify at least the following matters.

Based on the acquisition unit that acquires the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet, the pet behavior information, and the owner behavior information, the pet and the owner A generator characterized by having a determination unit for determining a keyword indicating a relationship between the two, and a generation unit for generating content indicating the keyword.

According to such a generation device, pet behavior information indicating the behavior of the pet and owner behavior information indicating the behavior of the owner regarding the pet are acquired. For example, the generator presents a question about the behavioral tendency of the pet to the owner and a question about the behavioral tendency of the owner with respect to the behavior through a predetermined service. Then, the generation device acquires the pet behavior information and the owner behavior information by acquiring the response from the owner.

Further, the generation device determines a keyword indicating the relationship between the pet and the owner based on the pet behavior information and the owner behavior information, and generates content indicating the keyword. For example, a generator can be used by pets and their owners, such as "name battery", "name detective and assistant", and "like brothers (sisters)", based on the behavioral tendencies of pets and the behavioral tendencies of their owners in response to such behaviors. Determine the keywords that clearly show the relationship with. Then, the generation device generates the content including the keyword. This allows the generator to adequately estimate the compatibility between the pet and the owner. In this way, the generator can appropriately estimate the relationship between the pet and the owner, so that the owner can deepen the understanding of the relationship between the owner and the pet.

Further, the generation device may generate content including not only keywords but also information on a transaction target presumed to be desired by the pet according to the type of the pet or the tendency of the personality of the pet. As a result, the generator can deliver information on the transaction target having a high appeal effect to the owner. Further, the generation device may generate the content in a manner that can be shared with the SNS (Social Networking Service), for example. As a result, the generator can enhance the appeal effect of the predetermined service to other users who have never used the predetermined service, and the satisfaction level of using the predetermined service to the owner. Can be improved.

Further, the generation device further acquires the type information indicating the type of the pet, and determines the keyword based on the pet behavior information, the owner behavior information, and the type information.

According to such a generator, since the keyword is determined based on the pet behavior information, the owner behavior information, and the type information indicating the type of the pet, the compatibility between the pet and the owner is appropriately estimated. be able to.

In addition, the generation device determines the keyword based on the personality tendency of the pet of the type indicated by the type information, the pet behavior information, and the owner behavior information.

According to such a generator, since the keyword is determined based on the personality tendency of the pet of the type indicated by the type information, the pet behavior information, and the owner behavior information, the compatibility between the pet and the owner Can be estimated appropriately.

In addition, the generation device has a distribution unit that distributes information according to the type of pet indicated by the type information to the owner.

According to such a generation device, since the information corresponding to the type of the pet indicated by the type information is distributed to the owner, it is possible to distribute the information having a high appeal effect to the owner.

In addition, the generation device distributes information according to the pet type indicated by the type information and the pet behavior information to the owner.

According to such a generation device, since the information corresponding to the pet type indicated by the type information and the pet behavior information is distributed to the owner, it is possible to distribute information having a high appeal effect to the owner.

In addition, the generation device distributes information on the transaction target related to the pet to the owner.

According to such a generation device, since the information of the transaction target related to the pet is distributed to the owner, it is possible to distribute the information having a high appeal effect to the owner.

Further, the generation device has a presenting unit that presents a pet question regarding the behavior of the pet and an owner question regarding the behavior of the owner to the owner, and acquires an answer to the pet question as the pet behavior information. Then, the answer to the owner's question is acquired as the owner's behavior information.

According to such a generator, the pet question regarding the pet's behavior and the owner's question regarding the owner's behavior are presented to the owner, the answer to the pet question is acquired as pet behavior information, and the answer to the owner's question is obtained. Since it is acquired as owner behavior information, it is possible to efficiently acquire the information necessary for determining the relationship between the owner and the pet.

In addition, the generator presents a pet question or an owner question according to the type of pet.

According to such a generator, since the pet question or the owner question is presented according to the type of pet, it is possible to efficiently acquire the information necessary for determining the relationship between the owner and the pet.

In addition, the generator presents a plurality of types of questions common to the pet question and the owner question.

According to such a generator, since multiple types of questions common to the pet question and the owner question are presented, it is possible to efficiently acquire the information necessary for determining the relationship between the owner and the pet. it can.

In addition, the generator presents comments according to the answers up to that point while presenting the pet question or the owner question.

According to such a generator, in between presenting the pet question or the owner's question, the comment according to the answer so far is presented, so that the owner can easily answer the question and the relationship between the owner and the pet. It can encourage you to deepen your sexuality.

In addition, the generation device determines the keyword based on the type of the pet based on the pet behavior information and the type of the owner based on the owner behavior information.

According to such a generator, the keyword is determined based on the type of the pet based on the pet behavior information and the type of the owner based on the owner behavior information, so that the compatibility between the pet and the owner is appropriate. Can be estimated to.

The generator also generates content that includes the keywords and a radar chart showing the pet type and the owner type.

Such a generator can generate content that includes keywords and radar charts showing the type of pet and owner, so that the owner can better understand the relationship between the owner and the pet. it can.

Further, the generation device generates the content including the radar chart in which the radar chart showing the pet type and the radar chart showing the owner type are superimposed as the radar chart.

According to such a generator, as a radar chart, content including a radar chart in which a radar chart showing a pet type and a radar chart showing an owner type are superimposed is generated, so that the effect of appealing to the owner is achieved. High information can be delivered.

In addition, the generation device generates, as the content, content that can be posted to a predetermined service in which a plurality of users share the content.

According to such a generation device, in order to generate content that can be posted to a predetermined service in which a plurality of users share the content, a predetermined content is provided to a user who has never used the predetermined service. It is possible to enhance the appealing effect of the service.

In addition, the generation device further acquires a photo of the pet and generates content indicating the keyword and the photo.

According to such a generation device, since the content indicating the keyword and the photograph related to the pet is generated, it is possible to enhance the appeal effect of the predetermined service to the user who has never used the predetermined service. ..

In addition, the generation device generates content that can be commented by the owner.

According to such a generation device, since the content to which the owner can add a comment is generated, it is possible to enhance the appeal effect of the predetermined service to the user who has never used the predetermined service.

Hereinafter, an example of a generation apparatus, a generation method, and a mode for carrying out the generation program (hereinafter, referred to as “the embodiment”) will be described in detail with reference to the drawings. The generator, the generation method, and the generation program are not limited by this embodiment. Further, in the following embodiments, the same parts are designated by the same reference numerals, and duplicate description will be omitted.

[Embodiment]
[1. An example of the generation process shown by the generator]
An example of the generation process executed by the generation apparatus according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of a generation process executed by the generation device according to the embodiment. Specifically, the generation device 10 is a keyword determined based on the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet, and is a relationship between the pet and the owner. Generate content that indicates keywords that indicate gender. The content referred to here may be any information, and is content including sentences, photographs, videos, advertising contents, and the like.

Hereinafter, an example of the generation process by the generation device 10 will be described along the flow with reference to FIG. In the example of FIG. 1, it is assumed that the user U is the owner and keeps pets P of various animals. Further, it is assumed that the generation device 10 provides the terminal device 100 in advance with a service A that performs processing such as receiving a response from the user U and distributing the content. Service A is provided by a browser, an application, or the like.

First, as shown in FIG. 1, the terminal device 100 provides the user U with a question regarding the type of pet, a question regarding the behavior of the pet, and a question regarding the behavior of the owner regarding the pet via the service A ((1). Step S1).

Specifically, the terminal device 100 presents the pet question regarding the pet's behavior and the owner's question regarding the owner's behavior to the user U via the service A. More specifically, the terminal device 100 presents a pet question or an owner question according to the type of pet via the service A. More specifically, the terminal device 100 presents a plurality of types of questions common to the pet question and the owner question via the service A.

For example, the terminal device 100 asks the pet question "What is the reaction when you tell the pet to go for a walk?" Through the service A, and asks the owner question "When the pet is complimented around, the pet. What are you doing? ”Is provided to user U.

Subsequently, the user U inputs an answer to the question to the terminal device 100 via the service A (step S2). For example, the user U responds to the pet question "What is the reaction when you tell your pet to go for a walk?" Through the service A with "joy" and the owner question "pet". Enter "praise" into the terminal device 100 as an answer to "what are you doing to your pet?"

Then, the terminal device 100 captures an image of the pet P by the operation of the user U (step S3). For example, when the pet P is a dog, the user U takes an image of the dog by using the camera function provided in the terminal device 100.

Subsequently, the terminal device 100 transmits the answer to each question and the image of the pet to the generation device 10 (step S4). Then, the generation device 10 acquires a response to the pet question as pet behavior information indicating the behavior of the pet, an answer to the owner question as the owner behavior information indicating the behavior of the owner regarding the pet, and an image of the pet. At this time, the generation device 10 may further acquire the type information indicating the type of the pet.

Then, the generation device 10 determines the combination name as a keyword indicating the relationship between the pet and the owner based on the pet behavior indicated by the answer and the owner behavior (step S5). Specifically, the generation device 10 determines a keyword indicating the relationship between the pet and the owner based on the pet behavior information and the owner behavior information.

More specifically, the generation device 10 determines the keyword based on the pet behavior information, the owner behavior information, and the type information. For example, the generation device 10 determines a keyword based on the personality tendency of the pet of the type indicated by the type information, the pet behavior information, and the owner behavior information.

For example, the generation device 10 determines a keyword based on a pet type based on pet behavior information and an owner type based on owner behavior information. For example, the generator 10 determines "name battery" as a keyword when the pet type is "friendly" and the owner type is "honor student".

Subsequently, the generation device 10 generates content including the combination name, the explanation of the relationship indicated by the combination name, and the image of the pet (step S6). In this way, the generation device determines a keyword that simply indicates the relationship between the pet and the owner from the behavioral tendency of the pet and the behavioral tendency of the owner with respect to the behavior, and generates content including the keyword. To do. As a result, the generator 10 can appropriately estimate the compatibility between the pet and the owner. In this way, the generation device 10 can appropriately estimate the relationship between the pet and the owner, so that the owner can deepen the understanding of the relationship between the owner and the pet.

Specifically, the generator 10 generates content including keywords and a radar chart showing the type of pet and the type of owner. More specifically, the generation device 10 generates the content including the radar chart in which the radar chart showing the pet type and the radar chart showing the owner type are superimposed as the radar chart. More specifically, the generation device 10 generates content that can be posted to a predetermined service in which a plurality of users share the content.

For example, the generation device 10 calculates a score for each item indicating the type of pet, and calculates a score for each item indicating the type of owner. Then, as a radar chart, the generator 10 superimposes a radar chart in which the score for each item indicating the pet type is displayed and a radar chart in which the score for each item indicating the owner type is displayed. Generate content that contains. At this time, when the predetermined service for sharing the content by a plurality of users is the SNS service, the generation device 10 generates the content including the radar chart in a manner that can be shared by the SNS service.

The embodiment may not be limited to the above generation process. Specifically, the generation device 10 may further acquire a photo of the pet and generate content indicating the keyword and the photo. For example, the generation device 10 acquires a picture of a dog taken by the terminal device 100 when the pet is a dog. Then, the generation device 10 may generate a content including a keyword indicating the relationship between the user and the dog and a picture of the dog.

In addition, the generation device 10 may generate content to which comments can be given by the owner. For example, when the pet is a dog, the generation device 10 has a keyword indicating the relationship between the user and the dog, a picture of the dog, and a user such as "This keyword may be unexpectedly suitable." Content including comments may be generated.

Then, the generation device 10 transmits the content to the terminal device 100 (step S7). As described above, the generation device distributes the content including the information regarding the transaction target presumed to be desired by the pet, together with the keyword, according to the type of the pet or the tendency of the personality of the pet. As a result, the generator can deliver information on the transaction target having a high appeal effect to the owner.

Specifically, the generation device 10 distributes the content corresponding to the type of the pet indicated by the type information to the owner. More specifically, the generation device 10 distributes the content corresponding to the pet type indicated by the type information and the pet behavior information to the owner. For example, the generation device 10 distributes the content including the information of the transaction target related to the pet to the owner. The transaction target here is the use of goods or services.

For example, when the pet is an old dog and the pet behavior information is quiet, the generator 10 delivers to the owner content including advertising content related to dog food for old dogs and diapers for dogs as transaction targets. To do.

Subsequently, the terminal device 100 provides the content to the user U (step S8). Then, the terminal device 100 posts the content to the SNS provided by the SNS server in response to the operation of the user U (step S9). In this way, the generation device generates the content in a manner that can be shared with the SNS, and makes it easy to post the content to the SNS service. As a result, the generator can enhance the appeal effect of the service A to other users who have never used the service A, and improve the satisfaction level of the use of the service A to the owner. be able to.

As described above, the generation device 10 according to the embodiment acquires the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet, and is based on the pet behavior information and the owner behavior information. , Determine keywords that indicate the relationship between the pet and the owner. Then, the generation device 10 generates content indicating such a keyword. Thereby, the generator 10 according to the embodiment can appropriately estimate the compatibility between the pet and the owner.

[2. Generation system configuration]
Next, the configuration of the generation system 1 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the generation system 1 according to the embodiment. As shown in FIG. 2, the generation system 1 includes a terminal device 100, an SNS server 200, and a generation device 10. The terminal device 100, the SNS server 200, and the generation device 10 are connected to each other via a network N so as to be communicable by wire or wirelessly. The generation system 1 shown in FIG. 2 may include a plurality of terminal devices 100, a plurality of SNS servers 200, and a plurality of generation devices 10.

The terminal device 100 according to the embodiment is an information processing device used by a user who accesses contents such as a web page displayed on a browser and contents for an application. For example, the terminal device 100 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like. Further, the terminal device 100 has a camera.

The SNS server 200 according to the embodiment is an information processing device that provides an SNS service in which a plurality of users share contents, and is realized by, for example, a server device or the like. For example, the SNS server 200 accepts posts of content generated by the generation device 10 and discloses such content in a manner that can be shared with other users.

The generation device 10 according to the embodiment is realized by, for example, a server device or the like. Specifically, the generation device 10 acquires the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet, and based on the pet behavior information and the owner behavior information, the pet and the pet Determine keywords that indicate the relationship with the owner. Then, the generation device 10 generates content indicating such a keyword.

[3. Generator configuration]
Further, the configuration of the generation device 10 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the generation device 10 according to the embodiment. As shown in FIG. 2, the generation device 10 includes a communication unit 20, a storage unit 30, and a control unit 40.

(About communication unit 20)
The communication unit 20 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 20 is connected to the network N by wire or wirelessly, and transmits / receives information between the terminal device 100 and the SNS server 200.

(About storage unit 30)
The storage unit 30 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. The storage unit 30 has a question database 31 for owners, a question database 32 for pets, and a combination name database 33.

(About the owner question database 31)
The owner question database 31 according to the embodiment stores information on questions related to the owner. Here, FIG. 3 shows an example of the owner question database 31 according to the embodiment. In the example shown in FIG. 3, the owner question database 31 has items such as "owner question ID (Identifier)", "question type", "question", "answer candidate", and "question condition".

The "owner question ID" is an identifier that identifies the owner question. The "question type" is information regarding the type of question associated with the "owner's question ID". The "question" is information related to the question associated with the "owner's question ID". The "answer candidate" is information about the answer candidate presented to the user associated with the "owner's question ID". The "question condition" is information regarding the condition specified by the user associated with the "owner's question ID". For example, the question condition is a condition set for presenting a series of questions satisfying the condition specified by the user to the user. For example, the question condition is a dog breed or the like when the pet is a dog. Further, for example, the question condition is information related to the history of the contents of the answers answered by other users to the question for the owner and the question for the pet. The question condition may be other than the above example, and may be the sex or age of the pet.

For example, in FIG. 3, the question type of "owner question # 1" identified by the owner question ID is "reliability", and the question is "what do you do to your pet when complimented around you?" , The answer candidate is "praise, stroke, do nothing, other than that ...", and the question condition is "condition # 1 (breed = Shiba inu, answer history # 1 ...)". In the example shown in FIG. 3, the question condition is represented by an abstract code such as "condition # 1", but the question condition may be in a specific file format or the like.

(About the pet question database 32)
The pet question database 32 according to the embodiment stores information on questions related to pets. Here, FIG. 4 shows an example of the pet question database 32 according to the embodiment. In the example shown in FIG. 4, the pet question database 32 has items such as "pet question ID", "question type", "question", "answer candidate", and "question condition".

The "pet question ID" is an identifier that identifies the pet question. The "question type" is information regarding the type of question associated with the "question ID for pets". The "question" is information related to the question associated with the "question ID for pets". The "answer candidate" is information about the answer candidate presented to the user associated with the "pet question ID". The "question condition" is information about the condition specified by the user associated with the "question ID for pets".

For example, in FIG. 4, the question type of "Pet question # 1" identified by the pet question ID is "Orikou degree", and the question is "What is the reaction when you say that you are going for a walk?" Yes, the answer candidate is "joy, ignore, dislike, etc ...", and the question condition is "condition # 4".

(About combination name database 33)
The combination name database 33 according to the embodiment stores information on the combination name, which is a keyword indicating the relationship between the pet and the owner. Here, FIG. 5 shows an example of the combination name database 33 according to the embodiment. In the example shown in FIG. 5, the combination name database 33 has items such as "pet type", "owner type", "combination name", and "explanation".

"Pet type" is information about the type of pet. The "owner type" is information about the owner type associated with the "pet type". The "combination name" is information about the combination name associated with the "pet type". The "description" is information regarding the content for explaining the combination name associated with the "pet type".

For example, in FIG. 5, the pet type is "type # 1," the owner type is "type # 1," the combination name is "combination name # 1," and the description is "explanation # 1." In the example shown in FIG. 5, the pet type or the like is represented by an abstract code such as "type # 1", but the pet type or the like may be a character string or a specific file format or the like.

(About control unit 40)
The control unit 40 is a controller, and for example, various programs (as an example of a generation program) stored in a storage device inside the generation device 10 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. (Equivalent) is realized by executing RAM as a work area. Further, the control unit 40 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2, the control unit 40 includes a presentation unit 41, an acquisition unit 42, a determination unit 43, a generation unit 44, and a distribution unit 45, and has information processing functions and operations described below. To realize or execute. The internal configuration of the control unit 40 is not limited to the configuration shown in FIG. 2, and may be another configuration as long as it is a configuration for performing information processing described later. Further, the connection relationship of each processing unit included in the control unit 40 is not limited to the connection relationship shown in FIG. 2, and may be another connection relationship.

(About presentation section 41)
The presentation unit 41 presents various types of information. Specifically, the presentation unit 41 refers to the owner question database 31 and the pet question database 32 to ask the owner a pet question regarding the behavior of the pet and an owner question regarding the behavior of the owner. Present. More specifically, the presentation unit 41 presents a pet question or an owner question according to the type of pet. More specifically, the presentation unit 41 presents a plurality of types of questions common to the pet question and the owner question.

For example, the presentation unit 41 asks the user U, "What is the reaction when you tell me to go for a walk?" As a pet question, and "What do you do with your pet when complimented by others?" As an owner question. provide.

It should be noted that the present invention is not limited to the above example, and the presentation unit 41 may present a comment according to the answers up to that point while presenting the pet question or the owner question. For example, the presentation unit 41 may present a comment explaining the characteristics of the pet according to the answer corresponding to the pet question or the owner question while presenting the pet question or the owner question.

Here, an example of screen transition in the presentation process will be described along the flow with reference to FIG. FIG. 6 is a diagram showing a display example of a screen according to the embodiment. A case where the pet is a dog will be described. Further, the presentation process shown in FIG. 6 corresponds to steps S1 and S2 in FIG.

First, as shown in FIG. 6, the terminal device 100 displays the content QC1 via the service A. For example, in the example of FIG. 6, the terminal device 100 has a question title such as "Question 1 (reliability)" and a question such as "Q1. Which side of you is your dog walking when taking a walk?" Display the content in which the content is displayed.

Further, the terminal device 100 displays candidates such as answer AC1 "A: right side", answer AC2 "B: left side", and answer AC3 "C: front side" as answer candidates selected by the user. Then, the terminal device 100 accepts the answer from the user. For example, the terminal device 100 receives the answer AC3 "C: front side" as the answer by the user.

Subsequently, the terminal device 100 displays the comment CC1 corresponding to the response AC3 “C: front side”. For example, in the example of FIG. 6, the terminal device 100 has a title such as "Your dog is ..." as a comment CC1 and a line of a character corresponding to a pet, "It has a strong self-reliance and a stubborn personality. It's a "loyal dog" type who is obedient to his master. A comment such as "is displayed.

Then, the terminal device 100 displays the content QC2. For example, in the example of FIG. 6, the terminal device 100 displays the title of the question such as "Question 2 (reliability)" and the question content such as "Q2. Which one preferentially walks when taking a walk?" Display the contents.

Further, the terminal device 100 displays candidates such as "A: pet", "B: you", and "C: other than that" as answer candidates selected by the user. Then, the terminal device 100 accepts the answer from the user. For example, the terminal device 100 accepts "B: you" as an answer by the user.

(About acquisition unit 42)
The acquisition unit 42 acquires various types of information. Specifically, the acquisition unit 42 acquires a response to the pet question as pet behavior information indicating the behavior of the pet, an answer to the owner question as the owner behavior information indicating the owner's behavior regarding the pet, and an image of the pet. To do. At this time, the acquisition unit 42 may further acquire the type information indicating the type of the pet.

(About decision unit 43)
The determination unit 43 determines a keyword indicating the relationship between the pet and the owner from among the keywords stored in the combination name database 33 based on the pet behavior information and the owner behavior information. Specifically, the determination unit 43 determines the keyword based on the pet behavior information, the owner behavior information, and the type information. For example, the determination unit 43 determines a keyword based on the personality tendency of the pet of the type indicated by the type information, the pet behavior information, and the owner behavior information.

For example, the determination unit 43 determines a keyword based on a pet type based on pet behavior information and an owner type based on owner behavior information. For example, when the pet type is "friendly" and the owner type is "honor student", the determination unit 43 determines "name battery" as a keyword.

(About the generator 44)
The generation unit 44 generates content indicating a keyword. Specifically, the generation unit 44 generates content including keywords and a radar chart showing the type of pet and the type of owner.

More specifically, the generation unit 44 generates the content including the radar chart in which the radar chart showing the pet type and the radar chart showing the owner type are superimposed as the radar chart. More specifically, the generation unit 44 generates content that can be posted to a predetermined service in which a plurality of users share the content.

For example, the generation unit 44 calculates a score for each item indicating the pet type, and calculates a score for each item indicating the owner type. Then, as a radar chart, the generation unit 44 superimposes a radar chart in which the score for each item indicating the pet type is displayed and a radar chart in which the score for each item indicating the owner type is displayed. Generate content that contains. At this time, the generation unit 44 generates the content including the radar chart in a manner that can be shared by the SNS service when the predetermined service for which the plurality of users share the content is the SNS service.

The embodiment may not be limited to the above generation process. Specifically, the generation unit 44 may further acquire a photo relating to the pet and generate content indicating a keyword and the photo. For example, the generation unit 44 acquires a picture of a dog taken by the terminal device 100 when the pet is a dog. Then, the generation unit 44 may generate a content including a keyword indicating the relationship between the user and the dog and a picture of the dog.

In addition, the generation unit 44 may generate content to which comments can be given by the owner. For example, when the pet is a dog, the generation unit 44 has a keyword indicating the relationship between the user and the dog, a picture of the dog, and a user such as "This keyword may be unexpectedly suitable." Content including comments may be generated.

Here, an application example of the generation process will be described along the flow with reference to FIG. 7. FIG. 7 is a diagram showing an application example of the generation process according to the embodiment. A case where the pet is a dog will be described. Further, the generation process shown in FIG. 7 corresponds to steps S5 and S6 in FIG.

First, as shown in FIG. 7, the generation unit 44 calculates a score for a predetermined item indicating the pet type from the dog breed obtained from the user's answer to the pet question, the personality tendency, and the pet behavior information. .. For example, in the example of FIG. 7, the generation unit 44 has a “friendly” score of “10”, a “honor student” score of “15”, a “leader” score of “45”, and “ It is calculated that the score of "Amaenbo" is "30" and the score of "My pace" is "12". As a result, the generation unit 44 determines the "leader" having the highest score as the pet type.

In addition, the generation unit 44 calculates a score for a predetermined item indicating the owner type from the owner behavior information acquired from the user's answer to the owner question. For example, in the example of FIG. 7, the generation unit 44 has a “friendly” score of “52”, a “honor student” score of “40”, a “leader” score of “12”, and “ It is calculated that the score of "Amaenbo" is "30" and the score of "My pace" is "40". As a result, the generation unit 44 determines the "friendly" with the highest score as the owner type. Then, the generation unit 44 determines a combination name that satisfies the combination in which the pet type is "leader" and the owner type is "friendly". For example, when the pet type is "leader" and the keyword satisfying the combination that the owner type is "friendly" is "manzai combination", the generation unit 44 determines the combination name as "manzai combination".

Subsequently, the generation unit 44 generates the content C10 including the image of the pet and the comic dialogue combination. For example, in the example of FIG. 7, the content C10 includes a radar chart LC and a pet image P1. At this time, the radar chart LC is a radar chart in which a radar chart displaying a score for each item indicating a pet type and a radar chart displaying a score for each item indicating an owner type are superimposed.

In addition, content C10 seems to trust each other with the keyword CN such as "You and your dog are a comic book combination" and "Aun's breathing like a comic book combination. However, I want to take care of my private life, so I want you to respect your individuality, and I have a spirit. " In addition, the content C10 includes a button SB that says "Send by email!", A button TB that says "Post to SNS!", And "Recommended for your dog. For dogs with a lot of exercise." Includes advertising content PCs related to transaction targets.

In the terminal device 100, when the content C10 is displayed and the button SB is pressed by the user, the content C10 is transmitted to the user's e-mail address registered in advance. Further, in the terminal device 100, when the button TB is pressed by the user, the content C10 is shared by the SNS service registered in advance by the user.

Further, the advertising content PC may be advertising content related to any transaction target. For example, the advertising content PC is advertising content related to dog food, side dishes such as sweets for dogs, toys, toilet products such as pet sheets and diapers, pet tissues, beds for pets, and the like.

(About distribution unit 45)
The distribution unit 45 distributes information according to the type of pet indicated by the type information to the owner. More specifically, the distribution unit 45 distributes the content corresponding to the pet type indicated by the type information and the pet behavior information to the owner. For example, the distribution unit 45 distributes the content including the information of the transaction target related to the pet to the owner.

For example, when the pet is an old dog and the pet behavior information is quiet, the distribution unit 45 distributes the content including the dog food for the old dog and the advertising content about the diaper for the dog to the owner as a transaction target. To do.

[4. Processing procedure]
Next, the procedure of the generation process executed by the generation apparatus 10 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing an example of the flow of the generation process executed by the generation device 10 according to the embodiment.

As shown in FIG. 8, the presentation unit 41 receives access from the terminal device 100 (step S101). Then, when the presentation unit 41 does not accept the access from the terminal device 100 (step S101; No), the presenting unit 41 waits until the access from the terminal device 100 is accepted.

On the other hand, when the presentation unit 41 receives the access from the terminal device 100 (step S101; Yes), the presentation unit 41 provides a question for inquiring about the type of pet (step S102). Then, the presentation unit 41 selects a question regarding the behavior of the pet and a question regarding the behavior of the owner regarding the pet according to the type of the pet (step S103). At this time, the presentation unit 41 provides questions in order, for example.

Then, the acquisition unit 42 acquires the pet behavior information and the owner behavior information as an answer (step S104). Then, the determination unit 43 determines a combination name indicating the relationship between the pet and the owner based on the pet behavior information acquired by the acquisition unit 42 and the owner behavior information (step S105). Then, the generation unit 44 generates the content indicating the combination name determined by the determination unit 43. Then, the distribution unit 45 distributes the content indicating the combination name generated by the generation unit 44 (step S106).

[5. Modification example]
The generator 10 described above may be implemented in various different forms other than the above-described embodiment. Therefore, another embodiment of the generation device 10 will be described below.

[5-1. content〕
In the above embodiment, the content includes a keyword and a still image as an image, but the content is not limited to the above example. For example, the content may include keywords and moving images as images.

[5-2. Multiple pets]
In the above embodiment, the generation device 10 determines a keyword indicating the relationship between the pet and the owner based on the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet. , Although an example of the process of generating the content indicating such a keyword has been described, the present invention is not limited to the above process. For example, when a plurality of pets are kept, the generation device 10 uses a keyword indicating the relationship between each pet and the owner based on the pet behavior information indicating the behavior of each pet and the owner behavior information. It may be determined and content indicating such keywords may be generated.

[5-3. Relationship between pets and multiple users]
In the above embodiment, the generation device 10 determines a keyword indicating the relationship between the pet and the owner based on the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet. , Although an example of the process of generating the content indicating such a keyword has been described, the present invention is not limited to the above process. For example, when the owner's family is composed of a father, a mother, a younger sister, and an owner, the generation device 10 sets the pet and the pet based on the pet behavior information and the behavior information of the father, the mother, the younger sister, or the owner. Keywords indicating the relationship with each of the father, mother, sister or owner may be determined and content indicating such keywords may be generated.

[5-4. Decision processing (1) Considering the feature amount of the image]
In the above embodiment, the generation device 10 determines a keyword indicating the relationship between the pet and the owner based on the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet. Although an example of the determination process has been described, the present invention is not limited to the above determination process. Specifically, the generation device 10 may determine the combination name in consideration of the feature amount of the image.

For example, the generation device 10 acquires a combination name reminiscent from a combination of an image and an answer to a question by a conventional technique such as crowdsourcing. Then, the generation device 10 uses a learning model that has been trained to output information indicating the combination name when the image and the answer to the question are acquired from the terminal device 100, and from the answer to the question, You may decide the combination name.

As described above, since the generation device 10 according to the embodiment determines the combination name in consideration of the feature amount of the image, the compatibility between the pet and the owner can be appropriately estimated.

[5-5. Decision processing (2) Evaluation of combination name]
In the above embodiment, the generation device 10 determines a keyword indicating the relationship between the pet and the owner based on the pet behavior information indicating the pet behavior and the owner behavior information indicating the owner's behavior regarding the pet. Although an example of the determination process has been described, the present invention is not limited to the above determination process. Specifically, the generation device 10 may change the combination name to a different combination name in consideration of the evaluation of the combination name.

For example, the generation device 10 receives an evaluation from a predetermined user as to whether or not he / she likes the combination name. In addition, the generation device 10 receives an evaluation such as "like" for the content posted by a predetermined user in the SNS service. Then, the generation device 10 may change the combination name determined when the response input by the predetermined user is received to a different combination name when the evaluation is lower than the predetermined threshold value.

The generation device 10 does not have to be limited to the above example. For example, a learning model trained to output a highly evaluated combination name is generated, and the combination name is changed to a different combination name by using the learning model. May be changed to.

As described above, the generator 10 according to the embodiment considers the evaluation of the combination name and changes the combination name to a different combination name, so that the compatibility between the pet and the owner can be appropriately estimated.

[5-6. Others]
Of each of the above-mentioned processes, all or a part of the processes described as being automatically performed may be performed manually. In addition, all or part of the processing described as being performed manually may be automatically performed by a known method. In addition, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure. In addition, all or part of each component may be functionally or physically distributed / integrated in any unit according to various loads, usage conditions, and the like. In addition, the above-mentioned processes may be appropriately combined and executed within a consistent range.

[6. Hardware configuration]
Further, the terminal device 100, the SNS server 200, and the generation device 10 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic unit 1030, the cache 1040, the memory 1050, the output IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090.

The arithmetic unit 1030 operates based on a program stored in the cache 1040 or the memory 1050, a program read from the input device 1020, or the like, and executes various processes. The cache 1040 is a cache that temporarily stores data used by the arithmetic unit 1030 for various operations such as RAM. Further, the memory 1050 is a storage device in which data used by the arithmetic unit 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, or the like. Memory.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a monitor and a printer. For example, USB (Universal Serial Bus), DVI (Digital Visual Interface), and the like. It may be realized by a connector of a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). On the other hand, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, and a scanner, and is realized by, for example, USB.

For example, the input device 1020 includes an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), and a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), and a tape medium. It may be realized by a device that reads information from a magnetic recording medium, a semiconductor memory, or the like. Further, the input device 1020 may be realized by an external storage medium such as a USB memory.

The network IF 1080 has a function of receiving data from another device via the network N and sending the data to the arithmetic unit 1030, and transmitting the data generated by the arithmetic unit 1030 to the other device via the network N.

Here, the arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the memory 1050 onto the cache 1040, and executes the loaded program. For example, when the computer 1000 functions as the generation device 10, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 40 by executing the program loaded on the cache 1040.

The embodiments of the present application have been described in detail with reference to the drawings. However, these are examples, and the embodiments of the present application shall be implemented in other embodiments that have been modified or improved in various ways based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. Is possible. Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit".

N network 1 Generation system 10 Generation device 20 Communication unit 30 Storage unit 31 Question database for owners 32 Question database for pets 33 Combination name database 40 Control unit 41 Presentation unit 42 Acquisition unit 43 Decision unit 44 Generation unit 45 Distribution unit 100 Terminal equipment 200 SNS server

Claims (18)

An acquisition unit that acquires pet behavior information indicating pet behavior and owner behavior information indicating owner behavior related to pets,
A determination unit that determines a keyword indicating a relationship between the pet and the owner based on the pet behavior information and the owner behavior information.
A generation device including a generation unit that generates content indicating the keyword. The acquisition unit further acquires type information indicating the type of the pet, and obtains the type information.
The generation device according to claim 1, wherein the determination unit determines the keyword based on the pet behavior information, the owner behavior information, and the type information. The second aspect of the present invention is characterized in that the determination unit determines the keyword based on the personality tendency of the pet of the type indicated by the type information, the pet behavior information, and the owner behavior information. Generator. The generator according to claim 2 or 3, further comprising a distribution unit that distributes information according to the type of pet indicated by the type information to the owner. The generation device according to claim 4, wherein the distribution unit distributes information according to the pet type indicated by the type information and the pet behavior information to the owner. The generator according to claim 4 or 5, wherein the distribution unit distributes information on a transaction target related to a pet to the owner. It has a presentation unit that presents a pet question regarding the behavior of the pet and an owner question regarding the behavior of the owner to the owner.
The acquisition unit according to any one of claims 1 to 6, wherein the acquisition unit acquires the answer to the pet question as the pet behavior information, and acquires the answer to the owner question as the owner behavior information. Generator. The generator according to claim 7, wherein the presentation unit presents a pet question or an owner question according to the type of pet. The generator according to claim 7 or 8, wherein the presenting unit presents a plurality of types of questions common to the pet question and the owner question. The generator according to any one of claims 7 to 9, wherein the presenting unit presents a comment according to the answers so far while presenting the pet question or the owner question. The determination unit determines the keyword based on the type of the pet based on the pet behavior information and the type of the owner based on the owner behavior information, according to claims 1 to 10. The generator according to any one of them. The generator according to any one of claims 1 to 11, wherein the generator generates content including the keyword and a radar chart showing the pet type and the owner type. The twelfth aspect of claim 12, wherein the generation unit generates, as the radar chart, a content including a radar chart showing the type of the pet and a radar chart showing the type of the owner. Generator. The generator according to any one of claims 1 to 13, wherein the generation unit generates, as the content, content that can be posted to a predetermined service in which a plurality of users share the content. .. The acquisition unit further acquires a photograph of the pet,
The generator according to any one of claims 1 to 14, wherein the generation unit generates content indicating the keyword and the photograph. The generation device according to any one of claims 1 to 15, wherein the generation unit generates content to which comments can be given by the owner. It is a generation method executed by the generation device.
An acquisition process for acquiring pet behavior information indicating pet behavior and owner behavior information indicating owner behavior regarding pets, and
A determination step of determining a keyword indicating a relationship between the pet and the owner based on the pet behavior information and the owner behavior information.
A generation method including a generation step of generating content indicating the keyword. Acquisition procedure for acquiring pet behavior information indicating pet behavior and owner behavior information indicating owner behavior related to pets,
A determination procedure for determining a keyword indicating a relationship between the pet and the owner based on the pet behavior information and the owner behavior information, and a determination procedure.
A generation program for causing a computer to execute a generation procedure for generating content indicating the keyword.

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