JP7061091B2 - Content provider, content provider method, and program - Google Patents

Description

"JR East News" on the application of Article 30, Paragraph 2 of the Patent Act Publication date September 4, 2018 Nikkan Kogyo Shimbun "NTT Comware, Omotenashi Engine Development Chiba / Makuhari Area, JR East and Demonstration Experiment" Page 12 Issue Date September 13, 2018 Service Introduction Leaflet Issue Date September 13, 2018 Service Introduction Leaflet Issue Date November 21, 2018 Business Communication 2018 Vol. 55 No. 12 "Vitalizing the region with collaborative creation services that utilize the proprietary" engine for hospitality "" Pages 78-79 Publication date December 1, 2018

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

Conventionally, techniques for providing content based on user attributes have been known. This type of technique is described, for example, in Patent Document 1. The distribution device described in Patent Document 1 has a reception unit and a distribution unit. The reception unit receives the user attributes of the user. The distribution unit distributes the content corresponding to the user for each user based on the user attributes accepted by the reception unit.

JP-A-2015-184710

However, it is desired to provide content according to an individual's personality (user attribute), and for this purpose, it is necessary to accurately grasp an individual's hobbies and tastes. Further, it is desired to provide contents suitable for individual hobbies and tastes according to individual behavior.

The present invention has been made in view of the above problems, and provides a content providing device, a content providing system, a content providing method, and a program capable of providing more preferable contents from the viewpoint of user attributes and behaviors. The purpose is.

(1) One aspect of the present invention provides a plurality of user attribute determination contents to a user terminal, and is based on the user attribute determination content selected by the user's operation among the plurality of user attribute determination contents. The user attribute determination unit that determines the user attribute, the content attribute parameter that has an item that overlaps with the item of the parameter that specifies the user attribute for each provided content, and the content attribute that determines the behavior feature parameter that represents the user's behavior. The determination unit, the action acquisition unit that acquires the behavior feature parameter of the user based on the operation of the user, the user attribute determined by the user attribute determination unit, and the behavior feature parameter acquired by the behavior acquisition unit. , A content attribute parameter and an action feature parameter determined by the content attribute determination unit, and a content determination unit that determines the content to be provided based on the content attribute parameter, and the user attribute determination unit specifies the user attribute. One of the plurality of user types is determined based on the difference between the user attribute parameter and each of the user attribute parameters of the plurality of preset user types, and the action acquisition unit determines the user type of the user. Based on the purpose based on the operation and the user type determined by the user attribute determination unit, the journey information of one of the plurality of journey information associated with the time zone and the action is determined, and the estimated journey information is used. It is a content providing device that acquires the behavior feature parameter of the user based on the above .

( 2 ) One aspect of the present invention is the above-mentioned content providing device, further comprising a variation information acquisition unit for acquiring variation information that affects the user's behavior, and the behavior acquisition unit includes the variation information and the variation information. And the behavioral feature parameter may be corrected based on the difference between the actual user behavior and the behavior in the estimated one journey information.

( 3 ) One aspect of the present invention provides a plurality of user attribute determination contents to a user terminal, and is based on the user attribute determination content selected by the user's operation among the plurality of user attribute determination contents. A step of determining a user attribute, a content attribute parameter having an item overlapping with the item of the parameter specifying the user attribute for each provided content, and a step of determining a first behavior feature parameter representing the user's behavior. , The step of acquiring the second behavior feature parameter of the user based on the operation of the user, the user attribute, the first behavior feature parameter, the content attribute parameter, and the second behavior feature parameter. , Which includes the step of determining the content to be provided, based on the difference between the user attribute parameter that identifies the user attribute and each of the user attribute parameters of a plurality of preset user types. One of a plurality of user types is determined , and one of a plurality of journey information in which a time zone and an action are associated with each other based on the purpose based on the operation of the user and the user type are obtained. It is a content providing method that acquires the behavioral feature parameter of the user based on the determined and estimated journey information .

( 4 ) One aspect of the present invention provides a computer with a plurality of user attribute determination contents to a user terminal, and among the plurality of user attribute determination contents, the user attribute determination content selected by the user's operation. The step of determining the user attribute based on, the content attribute parameter having an item overlapping with the item of the parameter specifying the user attribute , and the first behavior feature parameter representing the user's behavior are determined for each content to be provided. A step to acquire a second behavior feature parameter of the user based on the operation of the user, the user attribute, the first behavior feature parameter, the content attribute parameter, and the second behavior. Difference between the user attribute parameter that identifies the user attribute by executing the step of determining the content to be provided based on the feature parameter, and the user attribute parameter of a plurality of preset user types. Of the plurality of journey information in which one of the plurality of user types is determined based on the above, the purpose based on the operation of the user, and the time zone and the action are associated with each other based on the user type. It is a program that determines one journey information and acquires the behavior characteristic parameter of the user based on the estimated journey information .

According to one aspect of the present invention, it is possible to provide more preferable contents from the viewpoint of user attributes and behavior.

It is a block diagram which shows one configuration example of the content provision system of an embodiment. It is a flowchart which shows the whole processing procedure of providing the content for provision by the content provision system of embodiment. It is a figure which shows an example of a user attribute parameter. It is a figure which shows an example of a content attribute parameter. It is a figure which shows an example of the behavior characteristic parameter for each content for provision. It is a flowchart which shows an example of the processing procedure which determines a user attribute parameter. It is a figure for demonstrating the concept of the process which determines a user attribute parameter. It is a flowchart which shows an example of the process which determines a user type. It is a flowchart which shows an example of the processing procedure which sets a behavior characteristic parameter. It is a figure which shows an example of the journey information. It is a flowchart which shows an example of the processing procedure of the process of providing the content for provision by the content provision system of embodiment. It is a figure for demonstrating the process of ranking the content for provision.

Hereinafter, a content providing device, a content providing system, a content providing method, and a program to which the present invention is applied will be described with reference to the drawings.

In order to provide content according to an individual's personality, the content providing system of the embodiment performs a process of grasping an individual's hobbies and preferences, and provides content suitable for the individual's hobbies and preferences according to the individual's behavior. To decide. The content providing system realizes an information providing service that is highly convenient for the user by providing the determined content for provision to the user terminal or the like.

FIG. 1 is a block diagram showing a configuration example of the content providing system of the embodiment. The content providing system includes, for example, one or a plurality of user terminal devices 100, a content providing device content providing device 200, one or a plurality of providing content generating devices 300, and one or a plurality of variable parameter providing devices 400. Be prepared. The user terminal device 100, the content providing device 200, the providing content generating device 300, and the variable parameter providing device 400 are connected to, for example, a communication network. Each device connected to the communication network is provided with a communication interface such as a NIC (Network Interface Card) or a wireless communication module (not shown in FIG. 1). The communication network includes, for example, the Internet, a WAN (Wide Area Network), a LAN (Local Area Network), a cellular network, and the like.

The user terminal device 100 is a portable terminal device such as a smartphone or a tablet terminal. The user terminal device 100 activates a UA (User Agent) such as a browser or an application program. The UA is, for example, an application for receiving an information providing service provided by the content providing device 200. The user terminal device 100 uses an application as a UA to perform display processing, operation acceptance processing, and the like using the content received from the content providing device 200. Further, the user terminal device 100 provides the content providing device 200 with operation information based on the user's operation, location information using GPS (Global Positioning System, Global Positioning System), and the like.

The content providing device 200 is a server device that realizes an information providing service. The content providing device 200 is, for example, a user attribute determination unit 210, a content attribute determination unit 220, a journey estimation unit 230, a provision content determination unit 240, a content correction unit 250, and a user attribute determination content storage unit 260. And a content storage unit 270 for provision. In the functional units such as the user attribute determination unit 210, the content attribute determination unit 220, the journey estimation unit 230, the content determination unit 240 for provision, and the content correction unit 250, a processor such as a CPU (Central Processing Unit) is stored in the program memory. It is realized by executing the program. Further, a part or all of these functional parts may be realized by hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable Gate Array). It may be realized by the cooperation of software and hardware.

The user attribute determination unit 210 determines the user attribute of the user who receives the information providing service. The content attribute determination unit 220 determines the content attribute of the content to be provided. The journey estimation unit 230 estimates the journey based on user attributes and the like. The journey will be described later. The provision content determination unit 240 determines the provision content required for the user terminal device 100 among the plurality of provision content stored in the provision content storage unit 270. The content correction unit 250 corrects the provided content based on the fluctuation parameter.

The user attribute determination content storage unit 260 and the provision content storage unit 270 may be, for example, an HDD (Hard Disc Drive), a flash memory, an EEPROM (Electrically Erasable Programmable Read Only Memory), a ROM (Read Only Memory), or a ROM (Read Only Memory). It is realized by Access Memory) or a hybrid storage device using a plurality of these. The user attribute determination content storage unit 260 and the provision content storage unit 270 may be realized by an external storage device accessible via various networks. An example of an external storage device is a NAS (Network Attached Storage) device. The user attribute determination content storage unit 260 stores user attribute content used for determining the user attribute. The provision content storage unit 270 stores the provision content provided by the provision content generation device 300. The provision content storage unit 270 may store the provision content for each area (○○ city, △△ station area, XX stadium area, etc.).

The content generation device 300 for provision is, for example, a personal computer. The content generation device 300 for provision is operated by, for example, a restaurant manager, a store manager, a public facility (park, etc.) manager, a transportation manager, or a commercial facility manager. To. The provision content generation device 300 generates, for example, provision content including advertisement information of a restaurant, coupon information, a URL of a restaurant, and the like, and stores the content in the provision storage unit 300A. The providing content generation device 300 transmits, for example, the providing content to the content providing device 200 together with the posting request information of the providing content.

The variable parameter providing device 400 is a server device that distributes variable parameters. Fluctuation parameters include, for example, weather information, transportation information (eg, congestion of cars and people), disaster information, and the like. The variable parameter providing device 400 provides variable parameters in response to a request from, for example, the content providing device 200. In the following description, the variation parameter may include not only the variation parameter provided by the variation parameter providing device 400 but also the variation information of the user. The user's fluctuation information is, for example, current location information, electronic money balance information, and the like.

FIG. 2 is a flowchart showing an overall processing procedure for providing content for provision by the content providing system of the embodiment.
First, the content providing system performs a process of determining the content attribute (step S100) and a process of determining the user attribute (step S102). The process of determining the user attribute is executed, for example, when a new user first registers with the information providing service. The process of determining the content attribute is executed, for example, when the provided content is provided from the provided content generating device 300.

FIG. 3 is a diagram showing an example of user attribute parameters. The content providing system generates user attribute information as a determination result of user attributes. The user attribute information includes a plurality of user attribute parameters. A plurality of user attribute parameters are associated with a user ID that uniquely identifies a user. For multiple user attribute parameters, user attribute values are given for each item (CP1, CP2, ... CPN) that is the same as multiple content attribute parameters such as content attribute parameters (CP1, CP2, ... CPN). Information. For the user attribute parameter 500, for example, when the user preferentially selects a restaurant with a low price, the attribute value corresponding to the price becomes high. Each user attribute parameter is set so that the total value from CP1 to CPN is 1, for example, or the total value of a plurality of specific user attribute parameters is set to 1.

FIG. 4 is a diagram showing an example of content attribute parameters. The content providing system generates content attribute information as a determination result of the content attribute. The content attribute information includes the content attribute parameter 510. A plurality of content attribute parameters are associated with a content ID that uniquely identifies the content to be provided. The content attribute parameter is information to which a content attribute value is given for each item (CP1, CP2, ... CPN) such as a store genre, a store service provision price, and a store atmosphere. For example, in the case of a restaurant where the price is low, the content attribute parameter 510 has a high attribute value corresponding to the “price”. Each content attribute parameter is set, for example, so that the total value from CP1 to CPN is 1, or the total value of a plurality of specific content attribute parameters is 1.

In the process of determining the user attribute (step S100), the content providing system may generate an action feature parameter for each user (behavior acquisition unit). In the process of determining the content attribute (step S102), the content providing system may generate an action feature parameter for each provided content.

FIG. 5 is a diagram showing an example of behavioral feature parameters for each content to be provided. The action characteristic parameter 600 is information to which an attribute value is given for each item (AP1, AP2, ... APN) such as "eat", "rest", and "move" as an action label, for example. The behavior feature parameter 600 for each content to be provided is associated with a content ID that uniquely identifies the content to be provided. For example, in the case of content provided by a restaurant, the attribute value of the item "eat" as an action label becomes high. Each behavioral feature parameter is set, for example, so that the total value from AP1 to APN is 1, or the total value of a plurality of specific behavioral feature parameters is 1.

FIG. 6 is a flowchart showing an example of a processing procedure for determining a user attribute parameter.
The user attribute determination unit 210 executes the processes of steps S200 to S206 as the process of determining the user attribute (step S100). First, the user attribute determination unit 210 provides the user attribute determination content to the user terminal device 100 (step S200). The user attribute determination content includes, for example, a message "click on a favorite image" and a plurality of images. The plurality of images are images for estimating user's taste, such as an image of a cafe and an image of a restaurant.

The user attribute determination unit 210 acquires a selection result indicating an image selected based on the user's operation (step S202). The user attribute determination unit 210 determines the user attribute information based on the selection result (step S204). The user attribute determination unit 210 determines the user type based on the user attribute information (step S206). The user attribute determination unit 210 stores the determined user attribute information and the user type in a storage unit (not shown) (step S208).

FIG. 7 is a diagram for explaining a process of determining user attribute information. First, the user attribute determination unit 210 provides the user terminal device 100 with user attribute determination content including a plurality of images. The user attribute determination unit 210 selects the image having the content ID "C1" from the plurality of images (1) and the image having the content ID "C2" from the plurality of images (2). To get.

The user attribute determination unit 210 has each of the content attribute parameters (CP1, ..., CPN) corresponding to the content ID "C1" of the selected image and the content corresponding to the content ID "C2" of the selected image. User attribute parameters (CP1, ..., CPN) are calculated by predetermined arithmetic processing using each of the attribute parameters (CP1, ..., CPN). The predetermined arithmetic processing is, for example, a processing for calculating an average value. For example, the user attribute parameter "CP2" is an average value of the content attribute parameter (CP2) corresponding to "C1" and the content attribute parameter (CP2) corresponding to "C2".

FIG. 8 is a diagram for explaining a process of determining a user type. First, the user attribute determination unit 210 reads out the content attribute parameters (CP1, ..., CPN) associated with each of the predetermined user types A, B, and C. The content attribute parameters (CP1, ..., CPN) associated with the predetermined user type are set in advance. A predetermined user type is, for example, a framework for classifying users based on hobbies, personalities, and tastes. The user type is, for example, "daily fluttering OL", "safe normal OL", "no interest OL", "unique sense OL" and the like. The user type may be, for example, "one person", "young people", "with children", "women's association", "family", "for seniors" and the like.

Next, the user attribute determination unit 210 subtracts the content attribute parameter in the user attribute parameter described with reference to FIG. 7 from the content attribute parameter of each user type. For example, the user attribute determination unit 210 subtracts the user attribute parameter CP1 from the CP1 of the user type A to calculate the CP1 in the subtracted user type A.

Next, the user attribute determination unit 210 totals CP1 to CPN for each user type. The user attribute determination unit 210 selects the user type having the smallest total value among the plurality of user types as the user type of the user.

FIG. 9 is a flowchart showing an example of the processing procedure of the content attribute determination processing.
First, the content attribute determination unit 220 accepts the content for provision (step S300). Next, the content attribute determination unit 220 assigns a content ID to the received content for provision (step S302). Next, the content attribute determination unit 220 sets the content attribute parameter corresponding to the content to be provided (step S304). Next, the content attribute determination unit 220 sets an action feature parameter corresponding to the content to be provided (step S306). The process of setting the attribute value of the content attribute parameter may be automatically set based on the image included in the content for provision, but is not limited to this, and is specified by the administrator who provided the content for provision. It may be set to an attribute value. The process of setting the attribute value of the behavior feature parameter may be automatically set based on the image included in the content to be provided, but is not limited to this, and the attribute value specified by the administrator who provided the content to be provided is not limited to this. May be set to.

FIG. 10 is a diagram showing an example of journey information. Journey information is preset for each combination of user type and purpose. A journey ID is added to the journey information. Journey information is information in which a time zone and an action label are associated with each other. The time zone in the journey information may be set to start and end in 1-hour units, or may be set to start and end in minutes at a minimum. The action label in the journey information is associated with a content attribute parameter suitable for the action corresponding to the action label based on the matching score described later. The content attribute parameter shown in FIG. 10 shows the content attribute parameter most preferable for the user among the plurality of content attribute parameters.

FIG. 11 is a flowchart showing an example of a processing procedure of a process of providing content for provision by the content providing system of the embodiment.
The content providing device 200 detects, for example, the activation of an application related to an information providing service in the user terminal device 100, and acquires location information from the user terminal device 100 (step S400). Next, the content providing device 200 acquires the user's action condition information (step S402). The content providing device 200 acquires, for example, the user's purpose as action condition information. The content providing device 200 acquires information such as an event scheduled for today from a scheduler (application) in the user terminal device 100 constructed by user operation, for example, and acquires a user's purpose. The action condition information is not limited to the purpose of the user, but may be an action resource (time that can be used, amount of money that can be used, physical strength and mood, things that one wants to act, movement conditions), and a companion. Next, the content providing device 200 acquires fluctuation information (step S404).

Next, the content providing device 200 selects a journey (step S406). The content providing device 200 selects the closest journey from, for example, the user type and the purpose (what one wants to act on). Next, the content providing device 200 estimates a request (behavior label) for each time zone in the journey (step S408). As shown in FIG. 10, for example, when the purpose (what one wants to act) is to participate in an event, the content providing device 200 estimates an action label registered for each time zone as a request for each time zone.

The content providing device 200 may correct the request for each time zone based on the fluctuation information. For example, the content providing device 200 may modify the time zone request to use another transportation system when there is no user near the station during the time zone to be moved. For example, the content providing device 200 is an event when an event that may be canceled in the rain corresponds to the purpose (be sure to act) and the event organizer sends information that the event is canceled in the rain. The request to participate in can be amended.

Next, the content providing device 200 matches the content attribute parameter in the user attribute information with the content attribute parameter in the content attribute information (step S410). At this time, the content providing device 200 extracts the content attribute parameter corresponding to the provided content corresponding to the area specified by the user's position information, and the content attribute parameter of the extracted provided content and the content in the user attribute information. Match with attribute parameters. As a result of matching, the content providing device 200 acquires a matching score for each content to be provided.

Next, the content providing device 200 ranks the provided contents based on the matching score of the provided contents corresponding to the area specified by the user's position information (step S412). Next, the content providing device 200 preferentially provides the high-ranking content for provision (step S414). For example, the content providing device 200 puts the high-ranked providing content at the top of the search list.

Next, the content providing device 200 repeats the processes of steps S400 to S416 unless the content providing device 200 is completed. As a result, the content providing device 200 can repeat the processes of steps S400 to S416 based on the position information, the fluctuation information, and the request for each time zone.

FIG. 12 is a diagram for explaining a process of ranking the provided contents. In FIG. 12, (a) is a diagram showing the relationship between the content attribute parameter and the behavior feature parameter for each time zone, and (b) is a diagram showing the relationship between the provided content, the content attribute parameter, and the behavior feature parameter. Yes, (c) is a diagram showing user attribute information, and (d) is a diagram showing a matching score.

The content providing device 200 sets, for example, the content attribute parameter and the behavior feature parameter for each time zone based on the journey information (FIG. 12 (a)). For example, if the journey information contains the action label of information gathering and movement from morning to 12:00, the attribute value corresponding to the action label of information gathering and the attribute value corresponding to the action label of movement are other actions. It is higher than the attribute value of the action label corresponding to. Also, for example, daily fluttering office ladies who want to finish their meals at a cheap restaurant early for breakfast and lunch can follow the subtle changes in needs such as preferring a restaurant where dinner is a little expensive and can be relaxed.

The content providing device 200 matches the content attribute parameter of the current time zone with the content attribute parameter corresponding to the provided content, and sets the behavior feature parameter of the current time zone and the provided content for each content to be provided. Matching with the corresponding behavioral feature parameter (FIG. 12 (b)) is performed. As a result, the content providing device 200 acquires a matching score for the content attribute parameter and a matching score for the behavioral feature parameter for each content to be provided (FIG. 12 (d)). Further, the content providing device 200 matches the user attribute parameter (FIG. 12 (c)) corresponding to the user with the content attribute parameter corresponding to the provided content for each content to be provided. As a result, the content providing device 200 acquires a matching score for the behavioral feature parameter for each provided content (FIG. 12 (d)). Matching is, for example, a process of multiplying parameters with each other.

The content providing device 200 calculates the total score for each content to be provided based on the matching score for the content attribute parameter and the matching score for the behavioral feature parameter. The content providing device 200 calculates, for example, the sum of the total value of the matching score for the content attribute parameter and the total value of the matching score for the behavioral feature parameter as the total score. The content providing device 200 can rank the provided contents by comparing the total score among the provided contents.

As described above, according to the content providing device 200 of the embodiment, the user attribute determination unit 210 that determines the user attribute based on the selection result of the user attribute determination content based on the user's operation, and each provided content. , The content attribute determination unit 220 that determines the content attribute parameter and the behavior feature parameter that represents the user's behavior, and the behavior acquisition unit (user attribute determination unit 210) that acquires the behavior characteristic parameter of the user based on the operation of the user. , The content to be provided based on the user attribute determined by the user attribute determination unit, the behavior feature parameter acquired by the behavior acquisition unit, and the content attribute parameter and behavior feature parameter determined by the content attribute determination unit. The provision content determination unit 240 for determining the above is provided. According to the content providing device 200 of the embodiment, the user attribute determination content can be provided to the user, and the user attribute can be acquired based on the selection result of the user attribute determination content. That is, according to the content providing device 200, the user can select the content preferred by the user. Further, according to the content providing device 200, the content to be provided can be determined based on the behavioral feature parameter based on the user's operation and the behavioral characteristic parameter of the content to be provided. That is, according to the content providing device 200, it is possible to determine the content for provision that is preferable for the user's behavior. As a result, according to the content providing device 200, it is possible to provide preferable content from the viewpoint of user's preference and behavior.

Further, according to the content providing device 200 of the embodiment, the content attribute determination unit 220 for determining the action label for each content to be provided and the action label acquisition for acquiring the action label for each time zone based on the user's operation. A provision content determination unit 240 that provides provision content based on the unit, an action label corresponding to a time zone, and an action label determined by the content attribute determination unit 220 is provided. According to the content providing device 200 of the embodiment, it is possible to determine the content for provision having an action label suitable for the action label for each time zone. As a result, according to the content providing device 200, it is possible to provide preferable content from the viewpoint of behavior for each time zone.

Further, according to the content providing device 200, a plurality of user attribute determination contents are provided to the user terminal device 100, and the user attributes are set based on the selected user attribute determination content among the plurality of user attribute determination contents. The user attribute parameter that is determined and specifies the user attribute is duplicated with the content attribute parameter. Thereby, according to the user terminal device 100, it is possible to determine the content for provision that is preferable for the user based on the user attribute information based on the operation of the user and the content attribute parameter for each content for provision.

Further, according to the content providing device 200, the content to be provided can be determined based on the matching score between the user attribute parameter in the user attribute and the content attribute parameter of the content to be provided determined by the content attribute determining unit 220. .. Therefore, according to the content providing device 200, the content to be provided can be determined by comprehensively considering the user's preference and the purpose of the action.

Further, according to the content providing device 200, one of the plurality of user types is based on the difference between the content attribute parameter in the parameter for specifying the user attribute and each of the preset user attribute parameters of the plurality of user types. The user type can be determined. Thereby, according to the content providing device 200, it is possible to narrow down the provided contents according to the user type among the provided contents preferable for the purpose of the user's behavior and the like. As a result, according to the content providing device 200, it is possible to determine the content for provision that is more preferable for the user.

Further, according to the content providing device 200, one of a plurality of journey information in which a time zone and an action are associated with each other based on a purpose based on a user's operation and a user type determined by a user attribute determination unit 210. Journey information can be determined, and the behavioral feature parameters of the user can be acquired based on the determined journey information. Thereby, according to the content providing device 200, for example, it is possible to determine the provided content suitable for the action for each time zone from morning to evening.

Further, the content providing device 200 further includes a variation information acquisition unit that acquires variation information that affects the user's behavior, and is a difference between the variation information and the behavior in one journey information estimated to be the actual behavior. The behavioral feature parameters can be corrected based on. Thereby, according to the content providing device 200, when the behavior of the user is different from the behavior according to the journey information, the content to be provided can be changed.

Although each embodiment and each modification have been described, they are merely examples and are not limited to these. For example, any one of each embodiment or each modification, a part of each embodiment, or each modification may be used. One aspect of the present invention may be realized in combination in combination with another one or more embodiments or other one or more modifications.

A program for executing each process of the user terminal device 100, the content providing device 200, the providing content generating device 300, and the variable parameter providing device 400 in the present embodiment is recorded on a computer-readable recording medium. By loading and executing the program recorded on the recording medium into the computer system, the user terminal device 100, the content providing device 200, the providing content generating device 300, and the variable parameter providing device 400 are described above. Processing may be performed.

The "computer system" here may include hardware such as an OS and peripheral devices. Further, the "computer system" includes the homepage providing environment (or display environment) if the WWW system is used.
The "computer-readable recording medium" includes flexible disks, magneto-optical disks, ROMs, writable non-volatile memories such as flash memories, portable media such as CD-ROMs, hard disks built into computer systems, and the like. Refers to the storage device of.

Furthermore, the "computer-readable recording medium" is a volatile memory inside a computer system that serves as a server or client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line (for example, DRAM (Dynamic)).
It also includes those that hold the program for a certain period of time, such as Random Access Memory)). Further, the program may be transmitted from a computer system in which this program is stored in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium.

Here, the "transmission medium" for transmitting a program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. Further, the above program may be for realizing a part of the above-mentioned functions. Further, a so-called difference file (difference program) may be used, which can realize the above-mentioned function in combination with a program already recorded in the computer system.

Although the embodiments of the present invention have been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and includes designs within a range that does not deviate from the gist of the present invention.

100 ... User terminal device, 200 ... Content providing device 200, 210 ... User attribute determination unit, 220 ... Content attribute determination unit, 230 ... Journey estimation unit 230, 240 ... Providing content determination unit, 250 ... Content correction unit 260 ... Content storage unit for user attribute determination, 270 ... Content storage unit for provision, 300 ... Content generation device for provision

Claims (4)

A user attribute determination unit that provides a plurality of user attribute determination contents to a user terminal and determines a user attribute based on the user attribute determination content selected by the user's operation among the plurality of user attribute determination contents. ,
For each content to be provided, a content attribute parameter having an item that overlaps with the item of the parameter that specifies the user attribute , and a content attribute determination unit that determines an action characteristic parameter that represents the user's behavior.
An action acquisition unit that acquires the behavior feature parameters of the user based on the user's operation,
The provision is based on the user attribute determined by the user attribute determination unit, the behavior feature parameter acquired by the action acquisition unit, and the content attribute parameter and the behavior feature parameter determined by the content attribute determination unit. Equipped with a content determination unit that determines the content for
The user attribute determination unit is one of the plurality of user types based on the difference between the user attribute parameter that identifies the user attribute and each of the user attribute parameters of the plurality of preset user types. Decide ,
The action acquisition unit obtains one of a plurality of journey information in which a time zone and an action are associated with each other based on a purpose based on the operation of the user and a user type determined by the user attribute determination unit. Obtain the behavioral feature parameters of the user based on the determined and estimated journey information.
Content providing device. It also has a fluctuation information acquisition unit that acquires fluctuation information that affects the user's behavior.
The behavior acquisition unit corrects the behavior feature parameter based on the variation information and the difference between the actual user behavior and the behavior in the estimated one journey information.
The content providing device according to claim 1 . A step of providing a plurality of user attribute determination contents to a user terminal and determining a user attribute based on a user attribute determination content selected by a user operation among the plurality of user attribute determination contents .
For each content to be provided, a step of determining a content attribute parameter having an item overlapping with the parameter item for specifying the user attribute , and a first behavior feature parameter representing the user's behavior, and
A step of acquiring the user's second behavioral feature parameter based on the user's operation, and
A step of determining the content to be provided based on the user attribute, the first behavior feature parameter, the content attribute parameter, and the second behavior feature parameter.
One of the plurality of user types is determined based on the difference between the user attribute parameter that specifies the user attribute and the user attribute parameter of the plurality of preset user types .
Based on the purpose based on the user's operation and the user type, one of a plurality of journey information associated with the time zone and the action is determined, and the journey information of the user is determined based on the estimated journey information. Get behavioral feature parameters,
Content provision method. On the computer
A step of providing a plurality of user attribute determination contents to a user terminal and determining a user attribute based on a user attribute determination content selected by a user operation among the plurality of user attribute determination contents .
For each content to be provided, a step of determining a content attribute parameter having an item overlapping with the parameter item for specifying the user attribute , and a first behavior feature parameter representing the user's behavior, and
A step of acquiring the user's second behavioral feature parameter based on the user's operation, and
A step of determining the content to be provided based on the user attribute, the first behavior feature parameter, the content attribute parameter, and the second behavior feature parameter is executed.
One of the plurality of user types is determined based on the difference between the user attribute parameter that specifies the user attribute and the user attribute parameter of the plurality of preset user types .
Based on the purpose based on the user's operation and the user type, one of a plurality of journey information associated with the time zone and the action is determined, and the journey information of the user is determined based on the estimated journey information. Get behavioral feature parameters,
program.

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