JP2020154366A - Determination device, determination method, and determination program - Google Patents

Abstract

To improve accuracy of information provided to users.SOLUTION: A determination device of the present invention includes an estimation unit and a determination unit. The estimation unit estimates a relationship between a given user and another user based on an attribute of each user. The determination unit determines information to be provided to the given user based on the relationship estimated by the estimation unit.SELECTED DRAWING: Figure 1

Description

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

Conventionally, there have been provided techniques for forecasting various demands and providing information according to the forecast results. For example, there is known a technique of estimating the consumption amount of a product of the whole family based on the attribute information of each member constituting the family and recommending the product at a timing according to the estimation result.

Japanese Unexamined Patent Publication No. 2012-14466

However, it may not be possible to say that the above-mentioned conventional technology provides information with high accuracy.

For example, in the above-mentioned conventional technique, the consumption amount of the product of the whole family is simply estimated from the attributes of each member. Therefore, for example, when one member is presumed to purchase a gift for another member, an appropriate product cannot be recommended.

The present application has been made in view of the above, and an object of the present application is to improve the accuracy of information provided to a user.

The determination device according to the present application is based on an estimation unit that estimates the relationship between a predetermined user and another user based on the attributes of each user, and a relationship estimated by the estimation unit. It is characterized by having a determination unit for determining information to be provided to the predetermined user.

According to one aspect of the embodiment, there is an effect that the accuracy of the information provided to the user can be improved.

FIG. 1 is a diagram showing an example of a determination process according to an embodiment. FIG. 2 is a diagram showing a configuration example of a determination system according to an embodiment. FIG. 3 is a diagram showing a configuration example of the terminal device according to the embodiment. FIG. 4 is a diagram showing a configuration example of the smart speaker according to the embodiment. FIG. 5 is a diagram showing an example of the utterance information storage unit according to the embodiment. FIG. 6 is a diagram showing an example of a shared information storage unit according to the embodiment. FIG. 7 is a diagram showing a configuration example of the determination device according to the embodiment. FIG. 8 is a diagram showing an example of the feature information storage unit according to the embodiment. FIG. 9 is a diagram showing an example of the related information storage unit according to the embodiment. FIG. 10 is a diagram showing an example of a decision information storage unit according to the embodiment. FIG. 11 is a flowchart showing an example of the determination process according to the embodiment. FIG. 12 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device.

Hereinafter, a determination device, a determination method, and a mode for carrying out the determination program according to the present application (hereinafter, referred to as “the embodiment”) will be described in detail with reference to the drawings. The determination device, determination method, and determination program according to the present application are not limited by this embodiment. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

(Embodiment)
[1. An example of information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of information processing according to an embodiment. FIG. 1 shows an example in which the information processing according to the embodiment is executed by the determination device 100.

FIG. 1 shows a case where various contents such as transaction targets are recommended based on the relationship between users who use the smart speaker 20. Here, the relationship between users is, for example, a relationship between a parent and a child indicating between a parent and a child, a relationship between a couple indicating a couple, a relationship between a lover indicating a lover, and the like. Is. Hereinafter, an example of the determination process according to the embodiment will be described with reference to FIG.

The determination device 100 collects voice data of a plurality of users who use the smart speaker 20. The determination device 100 acquires utterance data of a plurality of users transmitted from the smart speaker 20. In the example shown in FIG. 1, the determination device 100 acquires utterance data of voices uttered by users # 1 to users # 3. In the following embodiment, the uttered user is appropriately referred to as a "user in a shared relationship".

The determination device 100 estimates the number of users sharing the smart speaker 20 from the acquired utterance data (step S101). For example, the determination device 100 estimates the number of users in the utterance data based on the frequency specification of the user's voice. Specifically, the determination device 100 estimates the number of users by identifying the frequency characteristics of the voice included in the acquired generated data and performing grouping according to the similarity of the specified frequency characteristics.

The determination device 100 estimates the relationship between the estimated number of users from the attributes of the users (step S102). For example, the determination device 100 estimates the relationship between users from the attributes of a plurality of target users. For example, the determination device 100 estimates the relationship between users from the ages and genders of a plurality of target users. Further, the determination device 100 estimates the relationship between the users from the characteristics of the utterances of the plurality of target users. For example, the determination device 100 estimates the relationship between users from the contents of utterances of a plurality of target users. As described above, the determination device 100 estimates the relationship between the users based on the age, gender, characteristics and contents of the utterances of the plurality of target users. Further, the relationship between the users estimated by the determination device 100 may be anything. Further, the determination device 100 may estimate the relationship between each user according to the frequency characteristics of each voice.

Specifically, the determination device 100 may estimate that the users are parents and children. For example, the determination device 100 estimates that the users are lovers. For example, the determination device 100 estimates that the users are married couples and work together. For example, the determination device 100 estimates that the users are married couples and that one user is assigned to work alone. In FIG. 1, in the determination device 100, the user # 1 and the user # 2 are in a marital relationship, the user # 3 is the daughter of the user # 1, and the user # 3 is the daughter of the user # 2. Presumed to be.

Here, a process in which the determination device 100 estimates the relationship between users will be described. For example, the determination device 100 converts the acquired utterance data into character information. For example, the determination device 100 extracts a specific word (keyword) by morphological analysis of the converted character information and estimates the relationship between users. For example, the determination device 100 estimates the relationship between users by scoring the extracted specific words. To give a specific example, the determination device 100 scores the relationship between users by scoring using a specific word commonly used by a married couple or a specific word commonly used by a lover. Estimate sex.

For example, the determination device 100 estimates that the users are parents and children when the difference in the ages of the estimated number of users satisfies a predetermined condition. Using the example of FIG. 1, the determination device 100 has a relationship between the user # 1 and the user # 3 when the age difference between the user # 1 and the user # 3 is equal to or greater than a predetermined threshold value. Gender is presumed to be parent and child. Further, when the user # 3 is a woman, the determination device 100 estimates that the user # 3 is the daughter of the user # 1.

Further, the determination device 100 may estimate the relationship between the users based on the position history of the users. For example, when the determination device 100 specifies that the estimated number of users move from the same place at the same time every day, it estimates that the users are married couples and work together. Here, the user's position history is, for example, a position history acquired from an information processing device used by the individual user. For example, the user's position history may be a position history acquired via GPS (Global Positioning System) or an application. Further, the user's position history may be an estimated position history. For example, the user's location history may be a location history estimated based on the user's search history or purchase history.

The determination device 100 estimates the relationship between users based on the user's telephone history. For example, the determination device 100 estimates the relationship between users based on the telephone history via the information processing device used by the individual user. To give a specific example, the determination device 100 is a case where the users are a married couple and one of the estimated number of users can make a call regularly from a certain period. Estimates that one user who makes a call is on a single assignment.

The determination device 100 estimates the relationship between users based on the user's search history. For example, the determination device 100 estimates the relationship between users based on the search history via the information processing device used by the individual user. To give a specific example, the determination device 100 is a user who searches for content for infants when one of the estimated number of users starts searching for content for infants from a certain period of time. Is presumed to be a pregnant woman.

The determination device 100 estimates the relationship between users based on the purchase history of the users. For example, the determination device 100 estimates that the ordered user is assigned to work alone when the transaction target ordered by one of the estimated number of users is shipped to the address of the other estimated user. To do. To give a specific example, in the determination device 100, when the users are married couples, the transaction target ordered by one of the estimated number of users has the same financial account as the ordered user. If it is shipped to the address of another user who uses it, it is estimated that the user who placed the order is currently assigned to work alone.

In addition, the attributes of the user according to the embodiment may be predetermined attributes for the user. For example, the user's attribute may be an attribute registered by the user. For example, the user's attribute may be an attribute previously input by the user on a predetermined web service. For example, the user's attribute may be an attribute from an external information processing device or an attribute stored in the storage unit 120. Further, the user's attribute may be an attribute estimated from the acquired utterance data.

The determination device 100 estimates the attributes of the user based on the acquired utterance data. For example, the determination device 100 estimates the gender of the user based on the frequency characteristics of the user's voice in the utterance data. Specifically, the determination device 100 determines the gender of the user by scoring whether the frequency characteristic of the user's voice is close to the frequency characteristic of the male voice or the frequency characteristic of the female voice. presume. Similarly, the determination device 100 may estimate the age of the user by performing scoring according to the degree of similarity between the frequency characteristics of the voice of the user and the frequency characteristics of the voice of a person of each age. ..

Further, the determination device 100 identifies the characteristics of the user's utterance based on the acquired utterance data. For example, the determination device 100 identifies the characteristics of the user's utterance based on the frequency specification of the user's voice. For example, the determination device 100 identifies the characteristics of the user's utterance based on the amplitude and frequency of the wavelength of the user's voice. In addition, the determination device 100 estimates the relationship between users by scoring the characteristics of the identified utterances. The determination device 100 estimates the relationship between users by scoring, for example, whether the specified utterance feature is a feature common to married couples or a feature common to lovers.

The determination device 100 determines the information to be provided. For example, the determination device 100 determines the information to be provided based on the relationship between the users and whether or not the information processing device that outputs the information is a shared terminal (step S103). For example, the determination device 100 provides information that can be shared when the information processing device that outputs information is a shared terminal. Specifically, when the information processing device that outputs information is a shared terminal, the determination device 100 transmits information that can be shared to the shared terminal (step S104-1). Then, the determination device 100 causes the shared terminal to output information that can be shared. Here, the shared terminal is, for example, an information processing device predetermined to be shared and used by an estimated number of users of the determination device 100. That is, the shared terminal is, for example, an information processing device used by a plurality of users in a shared relationship. In the example of FIG. 1, the case where the shared terminal is a smart speaker is shown, but it may be an external information processing device.

Further, the information that can be shared is information that has a predetermined relationship with each user in the number estimated by the determination device 100. The determination device 100 estimates information having a predetermined relationship with each user based on the estimated number of user information of each user. For example, the determination device 100 estimates the information desired by each user based on the estimated number of user information of each user. For example, the determination device 100 estimates information desired by each user from the attributes of each user, purchase history, location history, search history, and the like. Further, the determination device 100 determines information satisfying a predetermined condition among the information estimated to be desired by each user as information that can be shared. For example, the determination device 100 determines, among the information estimated to be desired by each user, information whose commonality satisfies a predetermined condition as information that can be shared.

The determination device 100 provides information (private information) that cannot be shared when the information processing device that outputs the information is not a shared terminal (step S104-2). When the information processing device that outputs information is not a shared terminal, the determination device 100 transmits private information to the information processing device that each user individually uses.

The determination device 100 may determine the mode of providing information estimated to be desired by each user based on the relationship of each user. For example, the determination device 100 may determine that when the users are parents and children, the determination device 100 notifies the parents of the information desired by the children. For example, when the users are parents and children, the determination device 100 notifies the information processing device individually used by the parents of the contents of the transaction target desired by the children. In the example shown in FIG. 1, the determination device 100 notifies the terminal device 10 individually used by the user # 1 of the content of the transaction target desired by the daughter of the user # 1 (user # 3). Here, the determination device 100 may use any notification mode for notification. For example, the determination device 100 may perform notification using push notification. Further, the determination device 100 may control the timing of notification. For example, the determination device 100 may estimate the state of the user and control the timing of notification according to the estimated state.

In the above embodiment, an example of collecting the utterances of the user using the smart speaker 20 is shown, but any device is not limited to the smart speaker 20 as long as the utterances of the user can be collected. There may be.

Further, in the above embodiment, an example of estimating the relationship between users based on the utterance data from the smart speaker 20 is shown, but any information can be used as long as the relationship between users can be estimated. The relationship between users may be estimated based on the information. For example, the determination device 100 may classify the clicked advertisement and estimate whether or not the user other than the user himself / herself is using the user's PC. Specifically, the determination device 100 uses the user's PC by a person other than the user himself / herself by classifying the clicked advertisement according to the age and gender of the user group (target group) targeted by the advertisement. You may estimate whether you are doing it. The age and gender of the user group targeted by the advertisement may be predetermined, for example, by the advertiser who submitted the advertisement. Here, when it is estimated that a person other than the user himself / herself is using the user's PC, the determination device 100 may estimate that the person other than the user himself / herself is the family member of the user.

Further, the determination device 100 classifies the purchased transaction target according to the age and gender of the target group of the transaction target predetermined by the seller, so that a person other than the user himself / herself uses the user's PC. May be estimated. Then, when it is estimated that a person other than the user himself / herself has purchased the transaction target using the user's PC, the determination device 100 may estimate that the person other than the user himself / herself is the family member of the user. Similarly, the determination device 100 uses the user's PC by a person other than the user himself / herself by classifying the website searched on the Internet according to the age and gender of the user group targeted by the website. You may estimate whether it is. Then, when it is estimated that a person other than the user himself / herself searches the website using the user's PC, the determination device 100 may estimate that the person other than the user himself / herself is the user's family.

[Configuration of information processing system]
The determination system 1 shown in FIG. 2 will be described. As shown in FIG. 2, the determination system 1 includes a terminal device 10, a smart speaker 20, and a determination device 100. The terminal device 10, the smart speaker 20, and the determination device 100 are connected to each other via a predetermined communication network (network N) so as to be communicable by wire or wirelessly. FIG. 2 is a diagram showing a configuration example of a determination system according to an embodiment. The determination system 1 shown in FIG. 2 may include a plurality of terminal devices 10, a plurality of smart speakers 20, and a plurality of determination devices 100.

The terminal device 10 is an information processing device used by the user. The terminal device 10 may be any device as long as the processing in the embodiment can be realized. Further, the terminal device 10 may be a device such as a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, or a PDA (Personal Digital Assistant). In the example shown in FIG. 1, a case where the terminal device 10 is a smartphone is shown. Further, the terminal device 10 may detect various sensor information not only by a GPS sensor or the like but also by various sensors.

The smart speaker 20 is, for example, a stationary smart speaker placed indoors or the like. However, the smart speaker 20 does not necessarily have to be a smart speaker as long as it has a function of realizing dialogue with the user, and may be, for example, a car navigation system, a movable robot, or the like. However, in the present embodiment, the smart speaker 20 is assumed to be a smart speaker. The smart speaker 20 is used to collect information for estimating the relationship between users. The smart speaker 20 collects user utterances, for example. The smart speaker 20 is, for example, an information processing device such as a PC or WS (Work Station), and performs processing based on an utterance uttered by a user.

The determination device 100 is used to estimate the relationship between users and determine the information to be provided to a predetermined user. The determination device 100 is, for example, an information processing device such as a PC or WS (Work Station), and performs processing based on information transmitted from the terminal device 10 and the smart speaker 20 via the network N.

Although FIG. 2 shows a case where the smart speaker 20 and the determination device 100 are separate devices, the smart speaker 20 and the determination device 100 may be integrated. Further, the smart speaker 20 and the determination device 100 may be managed by an administrator who is regarded as the same.

[2. Terminal device configuration]
Next, the configuration of the terminal device 10 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the terminal device 10 according to the embodiment. As shown in FIG. 3, the terminal device 10 includes a communication unit 11, an input unit 12, an output unit 13, and a control unit 14.

(Communication unit 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 11 is connected to the predetermined network N by wire or wirelessly, and transmits / receives information to / from the determination device 100 via the predetermined network N.

(Input unit 12)
The input unit 12 receives various operations from the user. For example, the input unit 12 may accept various operations from the user via the display surface by the touch panel function. Further, the input unit 12 may accept various operations from the buttons provided on the terminal device 10 and the keyboard and mouse connected to the terminal device 10.

(Output unit 13)
The output unit 13 is a display screen of a tablet terminal or the like realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. Further, the output unit 13 outputs the information transmitted from the determination device 100. For example, the output unit 13 outputs the content of the transaction target desired by the user.

(Control unit 14)
The control unit 14 is, for example, a controller, and various programs stored in a storage device inside the terminal device 10 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like are stored in a RAM (Random Access Memory). ) Is executed as a work area. For example, the various programs include programs of applications installed in the terminal device 10. For example, the various programs include an application program that displays information transmitted from the determination device 100. Further, the control unit 14 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. 3, the control unit 14 has a transmission unit 141 and a reception unit 142, and realizes or executes the information processing operation described below.

(Transmission unit 141)
The transmission unit 141 provides various information to an external information processing device. The transmission unit 141 transmits various information to an external information processing device. For example, the transmission unit 141 transmits various information to another information processing device such as the determination device 100. The transmission unit 141 transmits the information stored in the predetermined storage unit. For example, the transmission unit 141 transmits the attribute information of the user. For example, the transmission unit 141 transmits the user's position history. For example, the transmission unit 141 transmits the position information indicated by GPS. For example, the transmission unit 141 transmits the telephone history of the user. For example, the transmission unit 141 transmits the search history of the user. For example, the transmission unit 141 transmits the purchase history of the user.

(Receiver 142)
The receiving unit 142 receives various information. The receiving unit 142 receives various information from an external information processing device. The receiving unit 142 receives various information from other information processing devices such as the determination device 100. For example, the receiving unit 142 receives the content of the transaction target desired by the user.

[3. Smart speaker configuration]
Next, the configuration of the smart speaker 20 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram showing a configuration example of the smart speaker 20 according to the embodiment. As shown in FIG. 4, the smart speaker 20 has a communication unit 21, a storage unit 22, and a control unit 23. The smart speaker 20 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the smart speaker 20, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. May be good.

(Communication unit 21)
The communication unit 21 is realized by, for example, a NIC or the like. Then, the communication unit 21 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the determination device 100 via the network N.

(Memory unit 22)
The storage unit 22 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 shown in FIG. 4, the storage unit 22 includes an utterance information storage unit 221 and a shared information storage unit 222.

The utterance information storage unit 221 stores voice data uttered by the user. The utterance information storage unit 221 stores the utterance data of the user. Here, FIG. 5 shows an example of the utterance information storage unit 221 according to the embodiment. As shown in FIG. 5, the utterance information storage unit 221 has items such as "user ID", "utterance ID", and "utterance".

The "user ID" indicates identification information for identifying the user. The "utterance ID" indicates identification information for identifying the utterance data. "Utterance" indicates utterance data. In the example shown in FIG. 5, an example in which conceptual information such as "utterance # 11" and "utterance # 12" is stored in "utterance" is shown, but in reality, content data is stored. For example, in the "utterance", data regarding the wavelength of the collected utterance may be stored, or character information obtained by converting the utterance may be stored.

The shared information storage unit 222 stores information that can be shared by a plurality of spoken users (hereinafter, appropriately referred to as “shared information”). The shared information storage unit 222 stores information that can be shared by a plurality of users in a shared relationship. The shared information storage unit 222 stores the information transmitted from the determination device 100. Here, FIG. 6 shows an example of the shared information storage unit 222 according to the embodiment. As shown in FIG. 6, the shared information storage unit 222 has items such as “shared ID” and “shared information”.

The "shared ID" indicates identification information for identifying the shared information. “Shared information” indicates shared information. In the example shown in FIG. 6, conceptual information such as "shared # 1" and "shared # 2" is stored in "shared information", but in reality, content data is stored.

(Control unit 23)
The control unit 23 is a controller, and is realized by, for example, a CPU, an MPU, or the like executing various programs stored in a storage device inside the smart speaker 20 using the RAM as a work area. Further, the control unit 23 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 4, the control unit 23 includes a collection unit 231, a conversion unit 232, a transmission unit 233, a reception unit 234, and a provision unit 235, and realizes the information processing operation described below. Or execute. The internal configuration of the control unit 23 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it is a configuration for performing information processing described later.

(Collecting unit 231)
The collection unit 231 collects various information. The collection unit 231 collects the voices uttered by the user. The collection unit 231 collects the user's utterances.

(Conversion unit 232)
The conversion unit 232 converts various information. The conversion unit 232 converts various information collected by the collection unit 231. The conversion unit 232 converts the collected various information into data. The conversion unit 232 converts the collected utterances into utterance data.

The conversion unit 232 stores various converted information in the storage unit 22. The conversion unit 232 stores various information in the utterance information storage unit 221.

The conversion unit 232 converts various information received by the reception unit 234. The conversion unit 232 converts various received information into utterances. The conversion unit 232 converts various information stored in the storage unit 22. The conversion unit 232 converts various information stored in the shared information storage unit 222.

(Transmission unit 233)
The transmission unit 233 transmits various information. The transmission unit 233 transmits various information to an external information processing device. For example, the transmission unit 233 transmits various information to the determination device 100.

The transmission unit 233 transmits various information converted by the conversion unit 232. The transmission unit 233 transmits various information stored in the storage unit 120. The transmission unit 233 transmits various information stored in the utterance information storage unit 221.

(Receiver 234)
The receiving unit 234 receives various information. The receiving unit 234 receives various information from an external information processing device. The receiving unit 234 receives various information transmitted from the external information processing device. The receiving unit 234 receives various information from other information processing devices such as the determination device 100.

The receiving unit 234 stores various received information in the storage unit 22. The receiving unit 234 stores various information in the shared information storage unit 222.

(Providing Department 235)
The providing unit 235 provides various information. The providing unit 235 transmits various information. The providing unit 235 provides various information to an external information processing device. For example, the providing unit 235 provides various information to an information processing device shared and used by a plurality of users in a shared relationship. For example, the providing unit 235 provides various information to the terminal devices 10 individually used by the users in a shared relationship.

The providing unit 235 provides various information stored in the storage unit 22. The providing unit 235 provides various information stored in the shared information storage unit 222.

The providing unit 235 outputs various information. The providing unit 235 outputs various information converted by the conversion unit 232. The providing unit 235 outputs the utterance.

[4. Configuration of determination device]
Next, the configuration of the determination device 100 according to the embodiment will be described with reference to FIG. 7. FIG. 7 is a diagram showing a configuration example of the determination device 100 according to the embodiment. As shown in FIG. 7, the determination device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The determination device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the determination device 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. May be good.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information between the terminal device 10 and the smart speaker 20 via the network N.

(Memory unit 120)
The storage unit 120 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 shown in FIG. 7, the storage unit 120 includes a feature information storage unit 121, a relational information storage unit 122, and a determination information storage unit 123.

The feature information storage unit 121 stores information from the user. In the example shown in FIG. 1, the feature information storage unit 121 stores voice data uttered by the user. In this case, the feature information storage unit 121 stores the same information as the utterance information storage unit 221. However, the feature information storage unit 121 may store the information input by the user. Here, FIG. 8 shows an example of the feature information storage unit 121 according to the embodiment. As shown in FIG. 8, the feature information storage unit 121 has items such as “user ID”, “feature ID”, and “feature”.

The "user ID" indicates identification information for identifying the user. The "feature ID" indicates identification information for identifying information from the user. For example, the "feature ID" may indicate identification information for identifying utterance data. "Characteristics" indicates information from the user. For example, the "feature" may indicate utterance data. In the example shown in FIG. 8, an example in which conceptual information such as "feature # 11" and "feature # 12" is stored in "feature" is shown, but in reality, content data is stored.

The relationship information storage unit 122 stores information regarding the relationship between users. The relationship information storage unit 122 stores information on the relationship between a predetermined user and another user. Here, FIG. 9 shows an example of the relational information storage unit 122 according to the embodiment. As shown in FIG. 9, the relationship information storage unit 122 has items such as "relationship ID", "relationship", and "between users".

The "relationship ID" indicates identification information for identifying the relationship between users. "Relationship" indicates a relationship between users. “Between users” indicates a plurality of users having a relationship corresponding to the “relationship”. In the example of FIG. 9, it is shown that the user # 1 and the user # 2 have a marital relationship.

The decision information storage unit 123 stores information determined to be provided to the user. The decision information storage unit 123 stores information regarding an output destination that outputs information determined to be provided to the user. Here, FIG. 10 shows an example of the decision information storage unit 123 according to the embodiment. As shown in FIG. 10, the decision information storage unit 123 has items such as "decision ID", "decision", "attribute", and "output destination".

The "decision ID" indicates identification information for identifying the information determined to be provided to the user. "Decision" indicates information determined to be provided to the user. In the example shown in FIG. 10, an example in which conceptual information such as "decision # 1" and "decision # 2" is stored in "decision" is shown, but in reality, content data is stored. "Attribute" indicates the attribute of the information determined to be provided to the user. Specifically, the "attribute" indicates whether the information determined to be provided to the user is shared information or private information for the user. “Output destination” indicates an output destination of information determined to be provided to the user. For example, the "output destination" stores information about the output destination according to the "attribute". Specifically, when the attribute of the determined information is "shared", the information about the shared terminal is stored in the "output destination". For example, when the attribute of the determined information is "private", the "output destination" stores information about the information processing device individually used by the corresponding predetermined user.

(Control unit 130)
The control unit 130 is a controller, and is realized by, for example, a CPU, an MPU, or the like executing various programs stored in a storage device inside the determination device 100 using the RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 7, the control unit 130 includes an acquisition unit 131, a specific unit 132, an estimation unit 133, a determination unit 134, and a providing unit 135, and realizes the information processing operation described below. Or execute. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 7, and may be another configuration as long as it is a configuration for performing information processing described later.

(Acquisition unit 131)
The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various information from an external information processing device. The acquisition unit 131 acquires various information from other information processing devices such as the smart speaker 20.

The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 acquires various information from the feature information storage unit 121, the relational information storage unit 122, and the decision information storage unit 123.

The acquisition unit 131 stores various acquired information in the storage unit 120. The acquisition unit 131 stores various types of information in the feature information storage unit 121, the relationship information storage unit 122, and the decision information storage unit 123.

The acquisition unit 131 acquires various information specified, estimated, and determined by other functional configurations.

The acquisition unit 131 acquires the data of the voice uttered by the user. The acquisition unit 131 acquires the utterance data of the user. For example, the acquisition unit 131 acquires data on the characteristics of the utterance and the content uttered by the user. For example, the acquisition unit 131 acquires data regarding the wavelength of the utterance. For example, the acquisition unit 131 acquires data on the amplitude and frequency of the utterance wavelength.

The acquisition unit 131 acquires the character information obtained by converting the acquired utterance data. The acquisition unit 131 acquires a specific word extracted from the acquired character information.

The acquisition unit 131 acquires the attribute information of the user. The acquisition unit 131 acquires the position history of the user. The acquisition unit 131 acquires the telephone history of the user. The acquisition unit 131 acquires the search history of the user. The acquisition unit 131 acquires the purchase history of the user.

The acquisition unit 131 acquires information about the information processing device individually used by each user. The acquisition unit 131 acquires information about the terminal device 10 of each user.

(Specific part 132)
The specific unit 132 specifies various types of information. For example, the identification unit 132 specifies various types of information based on information from an external information processing device or information stored in the storage unit 120. The identification unit 132 identifies various types of information based on information from other information processing devices such as the smart speaker 20. The identification unit 132 specifies various types of information based on the information stored in the feature information storage unit 121, the relational information storage unit 122, and the decision information storage unit 123.

The specific unit 132 stores various specified information in the storage unit 120. The specific unit 132 stores various information in the feature information storage unit 121, the relational information storage unit 122, and the decision information storage unit 123.

The identification unit 132 specifies various information based on various information acquired, estimated, and determined by other functional configurations.

The identification unit 132 identifies a plurality of users. The identification unit 132 identifies a plurality of users who satisfy a predetermined condition. The identification unit 132 identifies a user who uses the same information processing device. For example, the identification unit 132 identifies a user who uses the same smart speaker 20.

The identification unit 132 identifies a plurality of users based on the characteristics of the user's voice. In other words, the specific unit 132 specifies the number of a plurality of users based on the characteristics of the user's voice. The identification unit 132 identifies a plurality of users based on the characteristics of the voices of users who use the information processing device operated by using voice. For example, the identification unit 132 identifies a plurality of users based on the characteristics of the wavelength of the user's voice.

(Estimation unit 133)
The estimation unit 133 estimates various information. For example, the estimation unit 133 estimates various types of information based on information from an external information processing device and information stored in the storage unit 120. The estimation unit 133 estimates various types of information based on information from other information processing devices such as the smart speaker 20. The estimation unit 133 estimates various types of information based on the information stored in the feature information storage unit 121, the relational information storage unit 122, and the decision information storage unit 123.

The estimation unit 133 stores various estimated information in the storage unit 120. The estimation unit 133 stores various information in the feature information storage unit 121, the relational information storage unit 122, and the decision information storage unit 123.

The estimation unit 133 estimates various information based on various information acquired, specified, and determined by other functional configurations.

The estimation unit 133 estimates the relationship between a plurality of users. The estimation unit 133 estimates the relationship between each user based on the characteristics of the user's voice. The estimation unit 133 estimates the relationship between each user based on the content issued by the user.

The estimation unit 133 estimates the relationship between each user based on the behavior history of each user (position history, search history, purchase history, telephone history, etc.). For example, the estimation unit 133 estimates the relationship between a predetermined user and another user based on the behavior history of each user. The estimation unit 133 estimates the relationship between each user based on the attributes of each user. For example, the estimation unit 133 estimates the relationship between a predetermined user and another user based on the attributes of each user. The estimation unit 133 estimates the relationship between each user based on the behavior history of each user and the attributes of each user. For example, the estimation unit 133 estimates the relationship between a predetermined user and another user based on the behavior history of each user and the attributes of each user.

(Decision unit 134)
The determination unit 134 determines various information. For example, the determination unit 134 determines various types of information based on the information from the external information processing device and the information stored in the storage unit 120. The determination unit 134 determines various information based on information from other information processing devices such as the smart speaker 20. The determination unit 134 determines various types of information based on the information stored in the feature information storage unit 121, the relational information storage unit 122, and the determination information storage unit 123.

The determination unit 134 stores various determined information in the storage unit 120. The determination unit 134 stores various information in the feature information storage unit 121, the relationship information storage unit 122, and the determination information storage unit 123.

The determination unit 134 determines various information based on various information acquired, specified, and estimated by other functional configurations.

The determination unit 134 determines the information to be provided to the user. The determination unit 134 determines the information to be provided to a predetermined user. The decision unit 134 determines the information to be provided based on the relationship between the users. The determination unit 134 determines the information to be provided based on the estimated relationships between users.

The determination unit 134 determines the information provided by the information processing device according to the attributes of the information processing device used by the predetermined user. For example, the determination unit 134 provides information provided by the information processing device depending on whether or not the information processing device used by the predetermined user is an information processing device shared by the predetermined user with another user. To determine. For example, the determination unit 134 determines whether or not the relationship between the predetermined user and another user who shares the information processing device used by the predetermined user with the predetermined user is the predetermined relationship. The information provided by the information processing device is determined accordingly.

The determination unit 134 determines the content of the information to be provided to a predetermined user. The determination unit 134 determines the content of information to be provided to a predetermined user based on the behavior history of each user and the attributes of each user.

The determination unit 134 determines the timing of providing information to a predetermined user. The determination unit 134 identifies the state of a predetermined user, and determines the timing of providing information to the predetermined user based on the specified state and the estimated relationship. For example, the determination unit 134 determines the timing at which the predetermined content is not provided to the predetermined user, such as when traveling by train. For example, the determination unit 134 determines the timing at which the wife of the predetermined user does not provide the content for women that is regularly viewed to the predetermined user.

The determination unit 134 is information that provides information determined based on the attributes of the user to a predetermined user. For example, the determination unit 134 determines that when the attribute of the user is a child, the determination unit 134 provides the content previously identified as popular with the child. The determination unit 134 identifies a user whose relationship with a predetermined user satisfies a predetermined condition, and provides the predetermined user with information determined based on the attributes of the specified user. Use as information. For example, the determination unit 134 identifies a user whose relationship with a predetermined user is a parent and child, and is a parent of content identified as being popular with the child based on the attributes of the user's child. Decide to provide to users.

(Providing section 135)
The providing unit 135 provides various information to an external information processing device. The providing unit 135 transmits various information to an external information processing device. The providing unit 135 notifies various information to an external information processing device. For example, the providing unit 135 transmits various information to the terminal device 10. For example, the providing unit 135 transmits various information to the smart speaker 20.

The providing unit 135 provides various information acquired, specified, estimated, and determined by other functional configurations.

The providing unit 135 provides information satisfying a predetermined condition. The providing unit 135 provides the corresponding information according to the attribute of the information processing device that outputs the information. For example, the provider 135 provides information that can be shared. For example, the providing unit 135 provides information that can be shared when the information processing device that outputs the information is a shared terminal. For example, the provider 135 provides private information. For example, the providing unit 135 provides private information when the information processing device that outputs the information is not a shared terminal.

[5. Information processing flow]
Next, the procedure of information processing by the determination system 1 according to the embodiment will be described with reference to FIG. FIG. 11 is a flowchart showing a procedure of information processing by the determination system 1 according to the embodiment.

As shown in FIG. 11, the determination device 100 acquires the utterance data of the user and stores it in the storage unit (step S201). The determination device 100 determines whether or not the utterance data of a predetermined threshold value or more has been acquired (step S202). When the determination device 100 has not acquired the utterance data of the predetermined threshold value or more (step S202; NO), the determination device 100 waits until the utterance data of the predetermined threshold value or more is acquired. When the determination device 100 acquires utterance data equal to or greater than a predetermined threshold value (step S202; YES), the determination device 100 identifies a plurality of users who use the same shared terminal from the acquired utterance data (step S203).

The determination device 100 estimates the relationship between the users based on the attributes of the specified plurality of users (step S204). The determination device 100 determines the information to be provided to a predetermined user based on the estimated relationship (step S205). The determination device 100 determines whether the determined information is sharable information (step S206). When the determined information is sharable information (step S206; YES), the determination device 100 provides the determined information to the shared terminal (step S207). When the determined information is not sharable information (step S206; NO), the determination device 100 provides the determined information to the corresponding user's terminal device (step S208).

[6. effect〕
As described above, the determination device 100 according to the embodiment includes an estimation unit 133 and a determination unit 134. The estimation unit 133 estimates the relationship between a predetermined user and another user based on the attributes of each user. The determination unit 134 determines the information to be provided to a predetermined user based on the relationship estimated by the estimation unit 133.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user. Further, the determination device 100 according to the embodiment can provide information about the wife and child when it is estimated that the wife and child are present even if the user of the information providing destination is a man, so that the family structure is conscious. Content distribution can be realized. Then, the determination device 100 according to the embodiment is presumed not to be for the user himself / herself when it is presumed that he / she has a wife and a child even when the user of the information providing destination purchases women's clothing. It is possible to prevent the distribution of content for women during the commuting period. As a result, the determination device 100 according to the embodiment can realize the optimization of the content by combining the data of the user's life cycle. Further, since the determination device 100 according to the embodiment can recommend the content for the family when the user inputs the information regarding the family composition, it is possible to realize the distribution of the content recommended to the family. it can.

Further, the determination device 100 according to the embodiment has a specific unit 132 that identifies a plurality of users who use the same terminal device. In addition, the estimation unit 133 estimates the relationship between the plurality of users specified by the specific unit 132.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the users who use the same device.

In addition, the identification unit 132 identifies a plurality of users based on the characteristics of the voice of the user who uses the terminal device operated by using voice as the terminal device.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user who uses the device operated by using voice.

In addition, the estimation unit 133 estimates the relationship between each user based on the characteristics of the user's voice or the content spoken by the user.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by estimating the relationship between the users from the voice.

Further, the determination unit 134 further determines the information provided from the terminal device according to the attributes of the terminal device used by the predetermined user.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by determining the information to be provided according to the attributes of the terminal device.

In addition, the determination unit 134 determines the information provided by the terminal device depending on whether or not the terminal device is a terminal device shared by a predetermined user with another user.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by determining the information to be provided according to the attributes of the terminal device.

Further, the determination unit 134 can be used from the terminal device depending on whether or not the relationship between the other user who shares the terminal device with the predetermined user and the predetermined user is a predetermined relationship. Determine the information to provide.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by determining the information to be provided according to the attributes of the terminal device.

In addition, the determination unit 134 determines the content of information to be provided to a predetermined user based on the behavior history of each user and the relationship of each user.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by determining the information to be provided according to the history of the user's behavior.

In addition, the estimation unit 133 estimates the relationship between the predetermined user and other users based on the behavior history of each user and the attributes of each user.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by estimating the relationship between the users from the history of the user's behavior.

Further, the determination unit 134 identifies the state of the predetermined user, and determines the timing of providing information to the predetermined user based on the specified state and the relationship estimated by the estimation unit 133. To do.

As a result, the determination device 100 according to the embodiment can improve the accuracy of the information provided to the user by determining the timing of providing the information according to the state of the user.

In addition, the determination unit 134 identifies a user whose relationship with the predetermined user satisfies a predetermined condition, and provides the predetermined user with information determined based on the attributes of the specified user. The information to be provided.

As a result, the determination device 100 according to the embodiment can promote the improvement of the appeal effect regarding the information provided to the user.

[7. Hardware configuration]
Further, the terminal device 10, the smart speaker 20, and the determination device 100 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 12 is a hardware configuration diagram showing an example of a computer that realizes the functions of the terminal device 10, the smart speaker 20, and the determination device 100. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

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

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via a predetermined communication network and sends it to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the predetermined communication network.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, 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 the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the terminal device 10, the smart speaker 20, and the determination device 100 according to the embodiment, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200 to control the control units 14, 23 and It realizes 130 functions. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via a predetermined communication network.

[8. Others]
Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically 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, and all or part of the device is functionally or physically distributed / physically in arbitrary units according to various loads and usage conditions. It can be integrated and configured.

In addition, the above-described embodiments can be appropriately combined as long as the processing contents do not contradict each other.

Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other improved forms.

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

1 Decision system 10 Terminal device 20 Smart speaker 100 Decision device 110 Communication unit 120 Storage unit 121 Feature information storage unit 122 Relationship information storage unit 123 Decision information storage unit 130 Control unit 131 Acquisition unit 132 Specific unit 133 Estimate unit 134 Decision unit 135 Provided Department N network

Claims (13)

An estimation unit that estimates the relationship between a predetermined user and other users based on the attributes of each user,
A determination device having a determination unit that determines information to be provided to the predetermined user based on the relationship estimated by the estimation unit. It has a specific part that identifies multiple users who use the same terminal device,
The determination device according to claim 1, wherein the estimation unit estimates a relationship between a plurality of users specified by the specific unit. The determination according to claim 2, wherein the specific unit identifies a plurality of users based on the characteristics of the voices of users who use the terminal device operated by voice as the terminal device. apparatus. The second or third aspect of the present invention, wherein the estimation unit estimates the relationship between the users based on the characteristics of the voice of the user or the content spoken by the user. Determining device. The determination unit further determines any one of claims 1 to 4, characterized in that the information provided from the terminal device is determined according to the attributes of the terminal device used by the predetermined user. The determination device described. The claim is characterized in that the determination unit determines information provided from the terminal device depending on whether or not the terminal device is a terminal device shared by the predetermined user with another user. 5. The determination device according to 5. The determination unit determines whether or not the relationship between the other user who shares the terminal device with the predetermined user and the predetermined user is a predetermined relationship. The determination device according to claim 5, wherein the information provided by the device is determined. Claims 1 to 1, wherein the determination unit determines the content of information to be provided to the predetermined user based on the behavior history of each user and the relationship of each user. 7. The determination device according to any one of 7. Claim 1 is characterized in that the estimation unit estimates the relationship between a predetermined user and another user based on the behavior history of each user and the attributes of each user. 8. The determination device according to any one of 8. The determination unit identifies the state of the predetermined user, and determines the timing of providing information to the predetermined user based on the identified state and the relationship estimated by the estimation unit. The determination device according to any one of claims 1 to 8, wherein the determination device is made. The determination unit identifies a user whose relationship with the predetermined user satisfies a predetermined condition, and provides the predetermined user with information determined based on the attributes of the specified user. The determination device according to any one of claims 1 to 9, wherein the information is to be provided. The decision method performed by the decision device
An estimation process that estimates the relationship between a predetermined user and other users based on the attributes of each user,
A determination method including a determination step of determining information to be provided to the predetermined user based on the relationship estimated by the estimation step. An estimation procedure that estimates the relationship between a given user and other users based on the attributes of each user, and
A decision program for causing a computer to execute a decision procedure for determining information to be provided to a predetermined user based on a relationship estimated by the estimation procedure.

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