WO2020195716A1

WO2020195716A1 - Server device and program for customized content delivery

Info

Publication number: WO2020195716A1
Application number: PCT/JP2020/009728
Authority: WO
Inventors: 悠也山下; 直之中尾; 哲平小西
Original assignee: ｌｉｖｅｐａｓｓ株式会社
Priority date: 2019-03-22
Filing date: 2020-03-06
Publication date: 2020-10-01
Also published as: JP2020161104A; JP6573269B1; JP2020161099A

Abstract

A server device according to the present invention is configured to execute at least the following: receiving personal specifying information, personal identification information, and client identification information from a client device; temporarily storing the received personal specifying information in a memory unit; specifying, from a plurality of pieces of personal history information stored in a database unit, first individual history information which is associated with the received personal identification information and the received client identification information; customizing content delivery to an individual specified by the temporarily-stored personal specifying information at least on the basis of the temporarily-stored personal specifying information and the specified first individual history information; executing processing for executing the customized content delivery to the specified individual; and deleting the temporarily-stored personal specifying information from the memory unit.

Description

Server devices and programs for customized content distribution

The present invention relates to a server device and a program for customized content distribution.

Conventionally, there has been known a message delivery application capable of delivering a message to the other party simply by knowing the "phone number" of the other party without registering a user ID or password (for example, a non-patent document). See 1).

When the sender company (message sender company) who wants to send a message outsources to another company (message delivery company) that delivers the message using the above-mentioned message application, the personal identification such as the telephone number is originally performed. Information is held only by the company that sent the message and should be kept secret from outside companies, but there is a problem that the telephone number must be given to the message delivery company in order to have the message delivered. there were. In particular, in order for a message delivery company to deliver customized content, the message delivery company usually needs to have personal identification information such as a telephone number, but such a situation is not allowed by the message origin company. There was a problem.

The present invention is a server device and a program that enable customized content distribution without possessing personal identification information while using a message distribution application that requires personal identification information to deliver a message. The purpose is to provide.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. The server device is configured to be communicable, the server device is connected to a database unit, a plurality of personal history information is stored in the database unit, and each of the plurality of personal history information is stored. It is associated with the personal identification information, and the processor unit receives the personal identification information, the personal identification information, and the client identification information for identifying the client using the client device from the client device. The received personal identification information is temporarily stored in the memory unit, and the received personal identification information and the received personal identification information among the plurality of personal history information stored in the database unit are received. The temporary personal history information associated with the client identification information is identified, and the temporary personal history information is at least based on the temporarily stored personal identification information and the identified first personal history information. To customize the content distribution for the individual identified by the personal identification information stored in the server, to execute the process for executing the customized content distribution to the specified individual, and to perform the temporary processing. It is configured to at least delete the personal identification information stored in the memory unit from the memory unit.

In one embodiment of the present invention, the processor unit receives group identification information for identifying a group of clients related to the client from the client device, and the plurality of personal histories stored in the database unit. Of the information, it is configured to further identify the second personal history information associated with the received personal identification information and the received group identification information, and the content distribution is performed. The customization may be performed based on the second personal history information.

In one embodiment of the present invention, the processor unit updates the first personal history information and the second personal history information so as to reflect the execution result of the customized content distribution. May be configured to perform further.

In one embodiment of the present invention, customizing the content distribution may include customizing the timing at which the content is distributed.

In one embodiment of the invention, customizing the content distribution may include generating customized content for the identified individual.

In one embodiment of the present invention, the database unit further stores a plurality of formats, and the processor unit is the temporarily stored personal identification information and / or the first individual. Based on the history information and / or the second personal history information, it is configured to further specify the distribution format from the plurality of formats, and for the specified individual. Generating customized content may be further based on the specified distribution format.

In one embodiment of the invention, the processor unit is configured to further receive a distribution format from the client device to generate content customized for the identified individual. This may be done further on the basis of the received distribution format.

In one embodiment of the present invention, a plurality of cluster history information is further stored in the database unit, and each of the plurality of cluster history information is associated with a plurality of personal identification information, and the processor. The unit identifies the cluster history information associated with the specified first personal history information among the plurality of personal identification information among the plurality of cluster history information stored in the database unit. Is further configured to perform further, and customizing the content delivery may be performed based further on the identified cluster history information.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. The server device is configured to be communicable, the server device is connected to a database unit, a plurality of personal history information is stored in the database unit, and each of the plurality of personal history information is stored. It is associated with the personal identification information, and the processor unit receives the personal identification information and the client identification information for identifying the client using the client device from the client device, and the received. The personal identification information is temporarily stored in the memory unit, and the personal identification information corresponding to the temporarily stored personal identification information is generated based on at least the temporarily stored personal identification information. That is, among the plurality of personal history information stored in the database unit, the first personal history information associated with the generated personal identification information and the received client identification information is specified. And, based on at least the temporarily stored personal identification information and the specified first personal history information, the content is distributed to the individual specified by the temporarily stored personal identification information. To customize, to execute the process for executing the customized content distribution to the specified individual, and to delete the temporarily stored personal identification information from the memory unit. It is configured to at least run.

In one embodiment of the present invention, generating the personal identification information corresponding to the temporarily stored personal identification information can be performed by using a predetermined function to convert the temporarily stored personal identification information into the individual. It may include conversion into identification information.

In one embodiment of the present invention, converting the temporarily stored personal identification information into the personal identification information using the predetermined function is temporarily stored using the predetermined logic. It may include converting the personal identification information into the intermediate identification information and converting the intermediate identification information into the personal identification information by using the predetermined function.

In one embodiment of the present invention, the predetermined function may be an irreversible conversion function.

In one embodiment of the present invention, the database unit further stores a plurality of formats, and the processor unit is the temporarily stored personal identification information and / or the first individual. Based on the history information and / or the second personal history information, it is configured to further specify the distribution format from the plurality of formats, and for the specified individual. Generating customized content may be further based on the received delivery format.

In one embodiment of the present invention, a plurality of cluster history information is further stored in the database unit, and each of the plurality of cluster history information is associated with a plurality of personal history information, and the processor. The unit identifies the cluster history information associated with the specified first personal history information among the plurality of personal identification information among the plurality of cluster history information stored in the database unit. Is further configured to perform further, and customizing the content delivery may be performed based further on the identified cluster history information.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. The server device is configured to be communicable, and the server device is connected to a database unit. The database unit stores a plurality of personal history information and a plurality of cluster history information, and the plurality of individuals. Each of the history information is associated with the personal identification information, each of the plurality of cluster history information is associated with the plurality of personal identification information, and the processor unit receives the personal identification information from the client device. , Receiving personal identification information, temporarily storing the received personal identification information in the memory unit, and receiving the plurality of personal history information stored in the database unit. Identifying the personal history information associated with the personal identification information, and the identified personal history of the plurality of personal identification information among the plurality of cluster history information stored in the database unit. Identify by the temporarily stored personal identification information based on at least the identification of the cluster history information associated with the information and the temporarily stored personal identification information and the identified cluster history information. The content distribution is customized for the cluster to which the personalized individual belongs, the process for executing the customized content distribution is executed, and the temporarily stored personal identification information is transferred from the memory unit. It is configured to at least do the removal.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. The server device is configured to be communicable, and the server device is connected to a database unit. The database unit stores a plurality of personal history information and a plurality of cluster history information, and the plurality of individuals. Each of the history information is associated with the personal identification information, each of the plurality of cluster history information is associated with the plurality of personal identification information, and the processor unit receives the personal identification information from the client device. Receiving, temporarily storing the received personal identification information in the memory unit, and temporarily storing the personal identification information based on at least the temporarily stored personal identification information. To generate personal identification information corresponding to the above, and to specify the personal history information associated with the generated personal identification information among the plurality of personal history information stored in the database unit, and the above. Of the plurality of cluster history information stored in the database unit, specifying the cluster history information associated with the generated personal identification information and the specified cluster history information, and temporarily storing the cluster history information. To customize the content distribution for the cluster to which the individual identified by the temporarily stored personal identification information belongs, based on at least the identified personal identification information and the identified cluster history information, and the customization. It is configured to at least execute the process for executing the executed content distribution and delete the temporarily stored personal identification information from the memory unit.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. It is configured to be communicable, the server device is connected to a database unit, a plurality of noisy cluster history information is stored in the database unit, and the processor unit is the client device. To receive personal identification information and personal identification information with noise, to temporarily store the received personal identification information in the memory unit, and to store the plurality of personal identification information in the database unit. Of the noisy cluster history information, identifying the noisy cluster history information associated with the received noisy personal identification information, and the temporarily stored personal identification information and the identified noisy personal identification information. To customize the content delivery and to perform the customized content delivery for the noisy cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the historical information. It is configured to at least execute the process and delete the temporarily stored personal identification information from the memory unit.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. It is configured to be communicable, the server device is connected to a database unit, a plurality of cluster history information is stored in the database unit, and the processor unit is connected to the client device. Among the plurality of cluster history information stored in the database unit, the received personal identification information is received, the received personal identification information is temporarily stored in the memory unit, and the received personal identification information is received. The temporarily stored personal identification information is based on at least the identification of the cluster history information associated with the personal identification information and the temporarily stored personal identification information and the identified cluster history information. To customize the content distribution for the cluster to which the individual identified by the server belongs, to execute the process for executing the customized content distribution, and to store the temporarily stored personal identification information in the memory. It is configured to at least do the removal from the part.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. It is configured to be communicable, the server device is connected to a database unit, a plurality of models are stored in the database unit, and the processor unit is personally identified from the client device. Among the plurality of models stored in the database unit, receiving the information and the personal identification information with noise, temporarily storing the received personal identification information in the memory unit, and the plurality of models stored in the database unit. The temporarily stored individual based on at least identifying the model associated with the received noisy personal identification information and the temporarily stored personal identification information and the identified model. The content distribution is customized for the individual specified by the specific information, the process for executing the customized content distribution is executed, and the temporarily stored personal identification information is stored in the memory unit. It is configured to at least perform the removal from.

In one aspect of the present invention, the server device of the present invention is a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a client device. The processor unit is configured to be able to communicate, and receives personal identification information, noise-containing personal identification information, and a personal model specified by the personal identification information from the client device. , Content distribution to the individual based on the temporary storage of the received personal identification information in the memory unit and at least based on the temporarily stored personal identification information and the received model. Is configured to at least execute the processing for executing the customized content distribution, and the deletion of the temporarily stored personal identification information from the memory unit. Has been done.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for delivering customized contents, and the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. Is configured to be able to communicate with the client device, the server device is connected to a database unit, and a plurality of personal history information is stored in the database unit, and the plurality of personal histories are stored. Each of the information is associated with the personal identification information, and when the program is executed by the processor unit, the personal identification information, the personal identification information, and the client using the client device are obtained from the client device. Among the plurality of personal history information stored in the database unit, receiving the client identification information for identification, temporarily storing the received personal identification information in the memory unit, and storing the received personal identification information in the memory unit. Identifying the first personal history information associated with the received personal identification information and the received client identification information, and the temporarily stored personal identification information and the identified first. To customize the content delivery for the individual identified by the temporarily stored personal identification information and to deliver the customized content to the identified individual, at least based on the personal history information of the. The processor unit is made to execute at least the process for executing the process and the deletion of the temporarily stored personal identification information from the memory unit.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The server device is connected to a database unit, and a plurality of personal history information is stored in the database unit, so that the server device can communicate with the client device. Each of the above is associated with personal identification information, and when the processor unit is executed by the processor unit, the personal identification information and a client for identifying a client using the client device are identified from the client device. Receiving the identification information, temporarily storing the received personal identification information in the memory unit, and temporarily storing the personal identification information based on at least the temporarily stored personal identification information. The personal identification information corresponding to the personal identification information is generated, and among the plurality of personal history information stored in the database unit, the generated personal identification information and the received client identification information are used. The temporarily stored individual based on at least identifying the associated first personal history information and the temporarily stored personal identification information and the identified first personal history information. To customize the content delivery for the individual identified by the specific information, to execute the process for executing the customized content delivery to the specified individual, and to temporarily store the content. The processor unit is made to at least execute the deletion of the personal identification information from the memory unit.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The server device is connected to a database unit, and a plurality of personal history information and a plurality of cluster history information are stored in the database unit. Each of the plurality of personal history information is associated with the personal identification information, each of the plurality of cluster history information is associated with the plurality of personal identification information, and the program is executed by the processor unit. Then, the personal identification information and the personal identification information are received from the client device, the received personal identification information is temporarily stored in the memory unit, and the personal identification information is stored in the database unit. Among the plurality of personal history information, the personal history information associated with the received personal identification information is specified, and among the plurality of cluster history information stored in the database unit, the received personal history information is received. Identifying the cluster history information associated with the personal identification information and the received client identification information, and at least based on the temporarily stored personal identification information and the identified cluster history information. To customize the content distribution for the cluster to which the individual identified by the temporarily stored personal identification information belongs, to execute the process for executing the customized content distribution, and to perform the temporary. The processor unit is made to at least perform deleting the personal identification information stored in the memory unit from the memory unit.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The server device is connected to a database unit, and a plurality of personal history information and a plurality of cluster history information are stored in the database unit. Each of the plurality of personal history information is associated with the personal identification information, each of the plurality of cluster history information is associated with the plurality of personal identification information, and the program is executed by the processor unit. Then, the personal identification information and the client identification information for identifying the client using the client device are received from the client device, and the received personal identification information is temporarily stored in the memory unit. To store, to generate personal identification information corresponding to the temporarily stored personal identification information based on at least the temporarily stored personal identification information, and to store the personal identification information in the database unit. Of the plurality of cluster history information, at least the cluster history information associated with the generated personal identification information is specified, and the temporarily stored personal identification information and the identified cluster history information are at least. Based on this, customizing the content distribution for the cluster to which the individual identified by the temporarily stored personal identification information belongs, and executing the process for executing the customized content distribution. The processor unit is made to at least execute the deletion of the temporarily stored personal identification information from the memory unit.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The server device is connected to the database unit, and a plurality of noisy cluster history information is stored in the database unit. When executed by the processor unit, the personal identification information and the noisy personal identification information are received from the client device, and the received personal identification information is temporarily stored in the memory unit. Of the plurality of noisy cluster history information stored in the database unit, the noisy cluster history information associated with the received noisy personal identification information is specified, and the noise-added cluster history information is temporarily stored. To customize the content distribution for the noisy cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the personally identified information and the identified noisy cluster history information. The processor unit is made to execute at least the process for executing the customized content distribution and the deletion of the temporarily stored personal identification information from the memory unit. ..

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The server device is connected to the database unit, a plurality of cluster history information is stored in the database unit, and the program is the processor. When executed by the unit, it receives personal identification information from the client device, temporarily stores the received personal identification information in the memory unit, and stores the personal identification information in the database unit. Of the plurality of cluster history information, at least based on specifying the cluster history information associated with the received personal identification information, and at least based on the temporarily stored personal identification information and the identified cluster history information. To customize the content distribution for the cluster to which the individual identified by the temporarily stored personal identification information belongs, to execute the process for executing the customized content distribution, and to execute the process. The processor unit is made to at least perform deleting the temporarily stored personal identification information from the memory unit.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The server device is connected to the database unit, a plurality of models are stored in the database unit, and the program is described by the processor unit. When executed, the personal identification information and the personal identification information with noise are received from the client device, the received personal identification information is temporarily stored in the memory unit, and the database unit is executed. Among the plurality of models stored in the server, the model associated with the received noise-added personal identification information is specified, and the temporarily stored personal identification information and the identified model are used. Based on at least, customizing the content delivery for the individual identified by the temporarily stored personal identification information, executing the process for executing the customized content delivery, and the temporary The processor unit is made to at least perform deleting the personal identification information stored in the memory unit from the memory unit.

In one aspect of the present invention, the program of the present invention is a program executed in a server device for customized content distribution, the server device includes a processor unit and a memory unit, and the server device includes a processor unit and a memory unit. , The program is configured to be able to communicate with the client device, and when the program is executed by the processor unit, the personal identification information, the personal identification information with noise, and the personal identification information are specified from the client device. To receive the personal model to be received, to temporarily store the received personal identification information in the memory unit, and to receive the temporarily stored personal identification information and the received model. To customize the content distribution for the individual, to execute the process for executing the customized content distribution, and to store the temporarily stored personal identification information in the memory unit based on at least the above. Have the processor unit perform at least the removal from.

According to the present invention, a server that enables customized content distribution without retaining personal identification information while using a message delivery application that requires personal identification information to deliver a message. It is possible to provide devices and programs.

The figure which shows an example of the structure of the computer system 100 for realizing a new business model for realizing more accurate customization of content distribution without having personal identification information. The figure which shows an example of the structure of the information stored in the personal history database part 151 The figure which shows an example of the structure of the information stored in each of the database part 160 ₁ to 160 _L The figure which shows an example of the flow of the processing executed in the computer system 100 A diagram showing an example of the configuration of a computer system 100'to realize a new business model for realizing more accurate customization of content distribution without holding personal identification information. The figure which shows an example of the flow of the processing executed in the computer system 100'. The figure which shows an example of the configuration of the computer system 100 "to realize the new business model to realize the customization of content distribution with higher accuracy without holding personal identification information. The figure which shows an example of the structure of the information stored in the identification information database part 152 The figure which shows an example of the flow of the processing executed in the computer system 100 " Diagram showing an example of the configuration of information stored in the cluster history database section The figure which shows an example of the flow of the processing executed in the server apparatus 110 The figure which shows an example of the flow of the process executed in the computer system 100 after step S402' when the determination result in step S402'is "No". The figure which shows another example of the flow of the process executed in the computer system 100 after step S402' when the determination result in step S402'is "No". The figure which shows an example of the flow of the process executed in the computer system 100'after the step S600' when the determination result in the step S600'is "No". The figure which shows another example of the flow of the process executed in the computer system 100'after the step S600' when the determination result in the step S600'is "No". The figure which shows an example of the configuration of the computer system 1400 for realizing the above-mentioned new business model. The figure which shows an example of the structure of the information stored in the identification information database part 152' The figure which shows an example of the structure of the information stored in the model database part 153. The figure which shows an example of the flow of the processing executed in the computer system 1400 The figure which shows another example of the flow of processing executed in the computer system 1400.

Hereinafter, terms used in the present specification are defined.

・ "Individual" includes natural persons and corporations.

-"Personal information" means information about a specific individual. An example of "personal information" is an individual's name, gender, date of birth, age, address, name of work, property, status, status, shopping tendency, past purchase history, past browsing history, past behavior history. However, it is not limited to these.

-"Personal identification information" means information for uniquely identifying an individual. An example of "personal identification information" is the telephone number, insurance card number, social insurance card number (for example, my number), driver's license number, e-mail address, SNS (social networking service) of an individual's mobile phone. Account ID, etc., but not limited to these. Further, another example of "personal identification information" is a combination of "personal information" (for example, a combination of an individual's name and address, a combination of an individual's ID and password), but is not limited thereto.

-"Personal identification information" refers to information that can identify an individual, but cannot uniquely identify an individual.

-"Personal history information" refers to information indicating the past service usage history of an individual.

-"Cluster identification information" refers to information that can identify a cluster to which a plurality of individuals belong.

-"Cluster history information" refers to information indicating the past service usage history collected for each cluster to which a plurality of individuals belong.

-"Cluster history information with noise" refers to cluster history information to which noise is added by a predetermined process (for example, differential privacy).

1. 1. New business model for more accurate customization of content distribution without possessing personally identifiable information Applicants are new to realize more accurate customization of content distribution without possessing personally identifiable information. Propose a business model. This business model is intended to enable customization of content distribution without the need to retain personally identifiable information by customizing content distribution using personal identification information. In addition, this business model enables highly accurate customized content distribution without the need to retain personally identifiable information by customizing content distribution using multiple personal identification information. It was intended. According to this business model, the server device identifies the personal history information based on the personal identification information received from the client device, and the server device temporarily stores the personal identification information received from the client device in the memory unit. Stored and delivered customized content based on at least the temporarily stored personal identification information and the identified personal history information, and the server device deletes the temporarily stored personal identification information from the memory unit. By doing so, the server device can provide customized content distribution without retaining personally identifiable information. In addition, the server device delivers customized content based on at least the client identification information for identifying the client and the group identification information for identifying the group of clients related to the client. By deleting the temporarily stored personal identification information from the memory section, the information of the client itself and the information in the client group can be cross-referenced with higher accuracy without holding the personal identification information. It is possible to provide customized content delivery. In the present specification, the "customized content" is, for example, content that reflects the personal information of a specific individual, information according to the personal information of the specific individual (for example, according to the personal information of the specific individual). Content that reflects the information generated in the above or information acquired according to the personal information of a specific individual, information according to the personal information of multiple individuals (for example, organized by cluster to which multiple individuals belong) Includes content that reflects information generated according to personal information or information acquired according to personal information collected for each cluster to which multiple individuals belong. Examples of content include, but are not limited to, still images, moving images, messages, and the like.

According to this business model, for example, various optimizations as shown below can be achieved.
-Optimization of delivery date and time to increase the accuracy of browsing customized content-Optimization of content expression to increase the satisfaction of individuals who browse customized content-Conversions (for example) within customized content Optimized recommendations to provide incentives for product purchases, inquiries / material requests, membership registration / e-mail newsletter registration) ・ Contributes to product quality optimization by feeding back customized content distribution results

Hereinafter, embodiments of the present invention will be described with reference to the drawings. Throughout this specification, the same components are given the same reference numbers.

2. 2. Configuration of Computer System for Realizing a New Business Model FIG. 1 shows an example of the configuration of a computer system 100 for realizing the new business model described above. In the embodiment shown in FIG. 1, the server device communicates with a client device that holds personal information (particularly, personal identification information) via an intermediary device, and establishes a correspondence relationship between the personal identification information and the personal identification information. The database unit in which the indicated information is stored is connected to the intermediary device.

Implemented in the form, a computer system 100 shown in FIG. 1 includes a server device 110, and at least one client device ₁₂₀ A1 ~ _{120 AN} belongs to the client group A, at least one client device ₁₂₀ B1 ~ 120 belonging to the client group B and _BM, and at least one client device ₁₃₀ 1 ~ 130 _L acts as an intermediary between the server device 110 and at least one client device ₁₂₀ A1 ~ _{120 aN} and at least one client device _₁₂₀ B1 ~ ₁₂₀ _BM, at least and at least one user equipment ₁₄₀ 1 ~ 140 _K are used by one individual, and the database unit 150 connected to the server device 110 are connected to each of the at least one client device ₁₃₀ 1 ~ 130 _L It has a database unit 160 ₁ to 160 _L. In the embodiment shown in FIG. 1, at least one client device ₁₃₀ 1 ~ 130 _L, respectively, via the internet 170, server device 110 and at least one client device ₁₂₀ A1 ~ _{120 AN} and at least one client device 120 It is configured to be able to communicate with _B1 to 120 _BM . Server apparatus 110 via the Internet 170, and is configured so as to further enable communication with at least one user equipment ₁₄₀ 1 ~ 140 _K. Here, K, L, M, and N are arbitrary integers of 1 or more.

The server device 110 is a device for executing customized content distribution without holding personal identification information. The server device 110 temporarily stores the received personal identification information in the memory unit, and after using the temporarily stored personal identification information for customized content distribution, the temporarily stored personal identification information is temporarily stored. Be sure to delete the personal identification information from the memory unit 113. The server device 110 is an information processing device operated and managed by a company (or a person in charge / administrator thereof) that distributes customized contents. The server device 110 is, for example, a workstation or a personal computer, and has a general hardware configuration as a server. In the embodiment shown in FIG. 1, the server device 110 includes an interface unit 111, a processor unit 112 including one or more CPUs (Central Processing Units), and a memory unit 113. The hardware configuration of the server device 110 is not particularly limited as long as the function can be realized, and may be configured by a single machine or may be configured by combining a plurality of machines.

Interface unit 111 controls the communication between at least one client device ₁₃₀ 1 ~ 130 _L and at least one user equipment ₁₄₀ 1 ~ 140 _K.

The memory unit 113 stores a program required to execute the process, data required to execute the program, and the like. The memory unit 113 stores, for example, a program for executing the processes shown in FIGS. 4, 6, 9, 11, 12, A, 12B, 13A, and 13B. Here, it does not matter how the program is stored in the memory unit 113. For example, the program may be pre-installed in the memory unit 113. Alternatively, the program may be installed in the memory unit 113 by being downloaded via a network such as the Internet 170, or may be installed in the memory unit 113 via a storage medium such as an optical disk or USB. You may do so.

The processor unit 112 controls the operation of the entire server device 110. The processor unit 112 reads the program stored in the memory unit 113 and executes the program. As a result, the server device 110 can function as a device that executes a desired step.

The database unit 150 is connected to the server device 110. The database unit 150 includes at least the personal history database unit 151.

The client device 120 _A1 is an information processing device operated and managed by a source company that desires customized content distribution. In the embodiment shown in FIG. 1, the client device _{120 A1} is configured capable of communicating with each of the at least one client device ₁₃₀ 1 ~ 130 _L via the Internet 170. The client device 120 _A1 has personal identification information about an individual who is a target of customized content distribution, and client identification information for identifying the client device 120 _A1 . The client device 120 _A1 may be, for example, a device having a general hardware configuration as a server, or a mobile wireless terminal such as a mobile phone, a smartphone, a tablet terminal, a smart glass, or a smart watch terminal. It may be a personal computer such as a desktop PC, a laptop PC, or a notebook PC. The same applies to each of the client devices 120 _A2 to 120 _AN . The same applies to each of the at least one client device 120 _B1 to 120 _BM .

Each of the client devices 120 _A1 to 120 _AN may be, for example, a device for each company or a device for each department within one company. When each of the client devices 120 _A1-120 _AN is a company-based device, the client group A indicates, for example, the framework of a partner company or the framework of one organization, and each of the client devices 120 _A1-120 _AN is In the case of a departmental device within one company, the client group A indicates the framework of one company. Therefore, when each of the client devices 120 _A1 to 120 _AN is a device for each company, the client identification information is assigned to each company (that is, the department and the person in charge are different for the company). Even if the same client identification information is used), if each of the client devices 120 _A1 to 120 _AN is a department-based device, the client identification information is assigned to each department (that is, that department). The same client identification information is used even if the person in charge is different).

The client device 130 ₁ (hereinafter referred to as an intermediary device 130 ₁ ) is information processing for mediating between the server device 110 and at least one client device 120 _A1 to 120 _AN and at least one client device 120 _B1 to 120 _BM. It is a device. The intermediary device 130 ₁ is connected to the database unit 160 ₁ that stores information indicating the correspondence between the personal identification information and the personal identification information and the like. In the embodiment shown in FIG. 1, the intermediary device 130 ₁ is configured to be able to communicate with each of the server device 110 and the client devices 120 _A1 to 120 _AN via the Internet 170. The intermediary device 130 ₁ may be, for example, a device having a general hardware configuration as a server, or a mobile wireless terminal such as a mobile phone, a smartphone, a tablet terminal, a smart glass, or a smart watch terminal. It may be a personal computer such as a desktop PC, a laptop PC, or a notebook PC. The same applies to each of at least one client device 130 ₂ to 130 _L.

Each of the at least one user equipment ₁₄₀ 1 ~ 140 _K, and is configured so as to be able to communicate with the server apparatus 110 via the Internet 170. For example, each of the at least one user equipment ₁₄₀ 1 ~ 140 _K, a mobile phone, a smart phone, a tablet terminal, smart glass, may be a mobile wireless terminal such as a smart watch terminal, a desktop PC, laptop PC, notebook It may be a personal computer such as a PC.

In the embodiment shown in FIG. 1, the server device 110, at least one client device 120 _A1 to 120 _AN, and at least one client device 120 _B1 to 120 _BM have at least one client device 130 ₁ to 120 via the Internet 170. Although it has been described that it is possible to communicate with each of the 130 _L , the present invention is not limited to this. It is also possible to use any type of network instead of the Internet 170.

Further, in the embodiment shown in FIG. 1, the database unit 150 is provided outside the server device 110, but the mode thereof does not matter. For example, the database unit 150 may be configured as a single external hard disk device of the server device 110, or may be configured as a storage on the cloud connected via a network. Alternatively, the database unit 150 can be provided inside the server device 110. The configuration of the database unit 150 is not limited to a specific hardware configuration. For example, the database unit 150 may be composed of a single hardware component or may be composed of a plurality of hardware components.

Further, in the embodiment shown in FIG. 1, the database unit 160 ₁ is provided outside the client device 130 ₁ , but the mode thereof does not matter. For example, the database unit 160 ₁ may be configured as a single external hard disk drive of the client device 130 ₁ , or may be configured as storage on the cloud connected via a network. Alternatively, the database unit 160 ₁ can be provided inside the client device 130 ₁ . Configuration database 160 ₁ is not limited to a particular hardware configuration. For example, the database unit 160 ₁ may be composed of a single hardware component or may be composed of a plurality of hardware components. The same applies to the database units 160 ₂ to 160 _L.

FIG. 2 shows an example of the configuration of the information stored in the personal history database unit 151.

The personal history database unit 151 stores a plurality of personal history information indicating the personal distribution service usage history. The personal history information indicating the personal distribution service usage history can be identified by the personal identification information. The plurality of personal identification information includes the personal history information associated with the delivery identification information for identifying each delivery, the personal history information associated with the client identification information for identifying the client, and the group of clients. It is associated with the personal history information associated with the group identification information for identification.

The personal history information associated with the delivery identification information, the personal history information associated with the client identification information, and the personal history information associated with the group identification information are, for example, the delivery time / delivery period (delivery timing), respectively. , Distribution area, distribution content, distribution result, information on personal browsing timing, etc. Examples of distribution contents include, but are not limited to, information on the maturity of time deposits, information on procedures after maturity, information on insurance products, and information on new investment products. Examples of delivery results include delivery area, delivery period, delivery viewing date and time, individual age group, individual type (eg, individual deposit type (eg, wealthy, mediocre, poor), individual thinking). Types (eg, risk-tolerant, risk-averse)), delivery plans contracted by individuals, number of reminders to individuals, etc., but are not limited to these. Examples of personal browsing timing information include, but are not limited to, easy to browse on Wednesdays at 0:00 and weekdays from △ to □. The number of reminder to the individual is set to the "dunning" label included in the distribution result by, for example, the server device 110 labeling (or tagging) the "dunning" label on the content before the content is distributed. It can be calculated based on.

FIG. 3 shows an example of the configuration of information stored in each of the database units 160 ₁ to 160 _L.

Information indicating the correspondence between the personal identification information and the personal identification information and the like is stored in each of the database units 160 ₁ to 160 _L. Specifically, each of the database units 160 ₁ to 160 _L stores information indicating the correspondence between the personal identification information and the combination (personal identification information, client identification information, group identification information). In the embodiment shown in FIG. 3, for example, (personal identification information, client identification information, group identification information) corresponding to the personal identification information "telephone number: 080-OOOO-XXX" are (16CQW), respectively. , CXXXAA, GXXXA).

3. 3. Processing of a computer system FIG. 4 shows an example of a processing flow executed in the computer system 100. In the embodiment shown in FIG. 4, it is assumed that the client device 120 _A1 holds personal information (particularly, personal identification information). Hereinafter, each step shown in FIG. 4 will be described.

Step S401: The client device 120 _A1 transmits the personal identification information and the distribution format to the intermediary device 130 ₁ . The distribution format is the basis of the content to be distributed. The distribution format may be, for example, a predetermined format owned by the client device 120 _A1 or a predetermined format provided in advance by the server device 110.

Step S402: The intermediary device 130 ₁ receives the personal identification information and the distribution format from the client device 120 _A1 .

Step S403: mediation device 130 _1, among a plurality of personal identification information and the plurality of client identification information stored in the database unit 160 _1, and the personal identification information corresponding to the received personal identification information, received personal Identify the client identification information that corresponds to the specific information.

Step S404: The intermediary device 130 ₁ transmits the specified personal identification information, the specified client identification information, and the received distribution format to the server device 110.

Step S405: The server device 110 receives the identified personal identification information, the identified client identification information, and the received distribution format from the intermediary device 130 ₁ .

Step S406: The server device 110 temporarily stores at least the personal identification information received in step S405 in the memory unit 113.

Step S407: The server device 110 identifies the personal history information associated with the received personal identification information and the received client identification information among the plurality of personal history information stored in the personal history database unit 151. .. As a result, "a client-based usage history of the service provided by the client identified by the received client identification information regarding the individual identified by the received personal identification information" is specified.

Step S408: The server device 110 uses the temporarily stored personal identification information based on at least the temporarily stored personal identification information and the personal history information associated with the personal identification information and the client identification information. Customize content delivery for identified individuals. In addition to the temporarily stored personal identification information, by reflecting the "usage history of each client" in the customization of content distribution, the content distribution customized according to the client identified by the received client identification information It is possible to do.

Customizing content delivery for individuals identified by temporarily stored personally identifiable information produces, for example, customized content for individuals identified by temporarily stored personally identifiable information. This includes, but is not limited to, specifying the timing of content distribution for individuals identified by the temporarily stored personal identification information.

An example of content distribution customized according to the client is "Individual X often views the notification from the client α around 19:00 on weekdays, but the client α will send the address confirmation notification to the individual X tomorrow. Since it is already scheduled, it is better to deliver the content to the individual X after tomorrow. ”Therefore, the content delivery date and time to the personal X should be set around 19:00 on weekdays after the day after tomorrow. This is a feature that "individual X often reads the notification from client α around 19:00 on weekdays" according to client α, and "address confirmation from client α to individual X" according to client α. The feature that "notifications are already scheduled to be sent tomorrow" is the result derived from "usage history for each client". In this way, by specifying the timing of content distribution based on the "usage history for each client" (personal history information associated with the personal identification information and the client identification information), the content to be distributed for each client can be specified. It is possible to optimize the delivery timing to improve the accuracy of browsing.

Another example of client-customized content delivery is "Personal X does not often view notifications from client α, including carousel images, but often views notifications from client α, including hero images. Tomorrow. It is better to use the hero image in the address confirmation notification from the client α to the individual X that is already scheduled to be transmitted. ”Therefore, it is set to use the hero image in the notification from the client α to the individual X. That is. This is a feature according to the client α, "Individual X does not often read the notification from the client α including the carousel image, and often sees the notification from the client α including the hero image", and the client α The corresponding feature of "address confirmation notification from client α to individual X, which is already scheduled to be transmitted tomorrow" is the result derived from "usage history for each client". In this way, customized content is generated for each client based on the "usage history for each client" (personal history information associated with the personal identification information and the client identification information). It is possible to optimize the content expression to increase the satisfaction of the individual who browses the content.

Another example of content distribution customized according to the client is "Individual X tends to want to" continue "for the maturity guidance of the time deposit from the client α. Foreign currency deposit with good interest rate was previously When the client α proposes to the individual X, the material is requested, so it is better to push the foreign currency deposit with a good interest rate further in the next maturity guidance of the time deposit. " It is to set to propose foreign currency deposits with good interest rates in the deposit maturity guidance. This is a feature that "individual X tends to want to" continue "for the maturity guidance of the time deposit from client α" according to client α, and "foreign currency with good interest rate" according to client α. This is the result derived from the "usage history of each client", which is the feature that "when the client α previously proposed the deposit to the individual X, the material was requested". In this way, customized content is generated for each client based on the "usage history for each client" (personal history information associated with the personal identification information and the client identification information). Within the content, it is possible to optimize recommendations to provide incentives for conversions (eg, product purchases, inquiries / material requests, membership registration / email magazine registration).

In addition, "Individual X has switched to a foreign currency deposit with a good interest rate proposed by the person in charge P of client α in the maturity guidance of the time deposit from client α, and the investment product proposed by the person in charge Q of client α Did not show interest and did not show interest in the new investment product proposed by the person in charge R of the client α the other day. ”Therefore, there is a problem with the commercial value of the investment product proposed by the person in charge Q and the person in charge R. It is understood that there was a problem with the targeting of the proposal. This is a feature according to the client α, "Individual X has switched to a foreign currency deposit with a good interest rate proposed by the person in charge P of the client α in the maturity guidance of the time deposit from the client α", and the client α According to the feature, "I did not show interest in the investment product proposed by the person in charge Q of client α", and "I was also interested in the new investment product proposed by the person in charge R of client α the other day" according to client α. The feature of "not shown" is the result derived from "usage history of each client". In this way, personal analysis is based on "per-client usage history" (personal history information associated with personally identifiable information and client identifiable information) and / or based on the delivery results of customized content. , It is possible to contribute to the analysis of commercial value and the optimization of commercial value.

Further, in step S408, the server device 110 temporarily stores the individual based on at least the temporarily stored personal identification information and the personal history information associated with the personal identification information and the client identification information. It is preferable to generate customized content for an individual identified by specific information and to determine the timing of delivery of the customized content. For determining the timing of delivery of customized content, for example, the server device 110 provides "a client identified by received client identification information about an individual identified by received personal identification information. When it is specified from the "service usage history" that "it is easy to browse from 18:00 to 21:00 on Saturday or Sunday", the server device 110 sets the delivery timing of the customized content to "18:00 on Saturday". You may decide. As a result, it is possible to optimize the delivered content and increase the probability that the delivered content will be viewed.

Content customization and determination of content distribution timing may be performed using, for example, artificial intelligence (AI).

Step S409: The server device 110 executes a process for executing the customized content distribution. The process for executing the customized content distribution is, for example, the process of uploading the customized content created in step S408 to the platform for performing the customized content distribution, and the content distribution determined in step S408. It is a process of setting the time to deliver the customized content at the timing of, but is not limited to this. Incidentally, customized content is delivered to at least one user equipment ₁₄₀ 1 ~ 140 _K.

Step S410: The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. As a result, the server device 110 can be prevented from holding the personal identification information.

Step S411: The server device 110 acquires the execution result of the customized content distribution. Server apparatus 110, for example, from at least one user equipment 140 1 _~ 140 _K has received the distributed content, and acquires an execution result of customized content delivery. Execution results include, for example, delivery area, delivery period (delivery timing), delivery viewing date and time, personal type (eg, personal deposit type (eg, rich, mediocre, poor), personal thinking. Types (eg, risk-tolerant, risk-averse), etc., and delivery results do not include personally identifiable information.

Step S412: The server device 110 receives personal history information (particularly, temporarily stored personal identification information) stored in the database unit 141 so as to reflect the execution result of the customized content distribution acquired in step S411. And the personal history information associated with the client identity information).

Step S413: The server device 110 feeds back the execution result of the customized content distribution to the intermediary device 130 ₁ .

Step S414: The intermediary device 130 ₁ provides feedback of the execution result of the customized content distribution to the client device 120 _A1 .

Note that, in step S403, the intermediary apparatus 130 _1, among a plurality of personal identification information and the plurality of group identification information stored in the database unit 160 _1, further identify the group identification information corresponding to the received personal identification information You may. In this case, in step S404, the intermediary device 130 ₁ further transmits the specified group identification information to the server device 110, and in step S405, the server device 110 transmits the specified group identification information from the intermediary device 130 _1. Further received, in step S407, the server device 110 is an individual associated with the received personal identification information and the received group identification information among the plurality of personal history information stored in the personal history database unit 151. Identify historical information. As a result, "the usage history of the service provided by the client identified by the received group identification information regarding the individual identified by the received personal identification information" is specified. Next, in step S408, the server device 110 further distributes the content to the individual identified by the temporarily stored personal identification information based on the personal history information associated with the personal identification information and the group identification information. To customize. By further reflecting the "usage history of each group" in the customization of the content distribution, it is possible to perform the customized content distribution according to the group identified by the received group identification information.

An example of content distribution customized according to the group is "Individual X often browses notifications from client α (bank) belonging to group A around 21:00 on Sunday, but client β belonging to group A ( Since the notification from the insurance company) is already scheduled to be sent to individual X at 20:30 on Sunday, it is better to deliver the content to individual X immediately after 20:30 on Sunday. " The content distribution date and time is set immediately after 20:30 on Sunday. This is a feature according to the client α (bank) belonging to group A, "Individual X often sees the notification from the client α (bank) belonging to group A around 21:00 on Sunday", and the group. According to the client β (insurance company) belonging to A, the feature that "the transmission of the notification from the client β (insurance company) belonging to group A to the individual X is already scheduled at 20:30 on Sunday" is "group unit". This is the result derived from "Usage history of". In this way, by specifying the timing of content distribution based on the "usage history of each group" (personal history information associated with the personal identification information and the group identification information), the content to be distributed for each group can be specified. It is possible to optimize the delivery timing to improve the accuracy of browsing.

Another example of content distribution customized according to the group is "Individual X does not often view notifications from client α (bank) belonging to group A including carousel images and belongs to group A including hero images. I often read the notification from the client α (bank). In the notification from the client β (insurance company) belonging to group A to the individual X, the purpose is conveyed only by the image and the number of user inputs is zero. In the notification to the individual X, it is better to use the hero image to make the number of user inputs zero. ”Therefore, in the notification from any client belonging to group A to the individual X, the number of user inputs is zero using the hero image. Is to be set to. This corresponds to the client α (bank) belonging to the group A. “Individual X does not often view the notification from the client α (bank) belonging to the group A including the carousel image, and belongs to the group A including the hero image. The feature of "frequently viewing notifications from client α (bank)" and "notifications from client β (insurance company) belonging to group A to individual X" according to client β (insurance company) belonging to group A The feature that "the purpose is conveyed only by the image and the number of user inputs is zero" is the result derived from the "usage history of each group". In this way, customized content is generated for each group based on the "group-based usage history" (personal history information associated with the personal identification information and the group identification information). It is possible to optimize the content expression to increase the satisfaction of the individual who browses the content.

Another example of content distribution customized according to the group is "Individual X has taken out insurance for children at client β (insurance company) belonging to group A. Individual X is a client belonging to group A. γ (securities company) has joined the investment tax exemption system for children. Therefore, it is better to propose a deposit plan for children in the notification from client α (bank) belonging to Group A. " It is set to propose a deposit plan for children in the notification from the client α (bank) belonging to A. This is characterized by "Individual X has taken out insurance for children at client β (insurance company) belonging to group A" according to client β (insurance company) belonging to group A, and clients belonging to group A. This is the result derived from the "group-based usage history" of the feature that "a client γ (securities company) belonging to group A has joined the investment tax exemption system for children" according to γ (securities company). In this way, customized content is generated for each group based on the "group-based usage history" (personal history information associated with the personal identification information and the group identification information). Within the content, it is possible to optimize recommendations to provide incentives for conversions (eg, product purchases, inquiries / material requests, membership registration / e-mail newsletter registration).

In addition, "Individual X has taken out insurance for children at client β (insurance company) belonging to group A. Individual X has an investment tax exemption system for children at client γ (securities company) belonging to group A. On the other hand, individual X did not show interest in the new investment products proposed by client α (bank) belonging to group A. ”Therefore, client α (bank) belonging to group A proposed. It is understood that there was a problem with the targeting of the proposal, not the problem with the commercial value of the investment product. This is characterized by "the client β (insurance company) belonging to group A has taken out insurance for children" according to the client β (insurance company) belonging to group A, and the client γ (securities company) belonging to group A. ) According to the feature that "a client γ (securities company) belonging to group A has joined the investment tax exemption system for children" and "individual X is a group" according to client α (bank) belonging to group A. The feature of "not showing interest in the new investment products proposed by the client α (bank) belonging to A" is the result derived from the "usage history of each group". In this way, based on the "group-based usage history" (personal history information associated with the personal identification information and the group identification information) and / or based on the execution result of the customized content distribution, the individual It is possible to contribute to analysis, analysis of commercial value, and optimization of commercial value.

In the embodiment shown in FIG. 4, it has been described that step S410 is executed after step S409 and before step S411, but the present invention is not limited thereto. Step S410 may be executed at any timing after step S409. For example, step S410 may be executed after a predetermined time (for example, 24 hours) has elapsed from the execution of step S409.

4. Other configurations of computer systems to realize new business models (alternative configuration 1)
FIG. 5 shows an example of the configuration of the computer system 100'for realizing the above-mentioned new business model. In the embodiment shown in FIG. 5, the server device directly communicates with at least one client device that holds personal information (particularly, personal identification information), and the client identification information for identifying the client and the client A database unit that stores group identification information for identifying a client group to which the client belongs is connected to each of at least one client device.

In the embodiment shown in FIG. 5, the computer system 100'has a server device 110, at least one client device 120 _A1 to 120 _AN belonging to client group A, and at least one client device 120 _B1 to belonging to client group B. 120 _BM and, at least one user equipment ₁₄₀ 1 ~ 140 _K are used by at least one individual, a database unit 150 connected to the server apparatus 110, at least one client device belonging to the client group a _{120 A1} The database units 180 ₁ to 180 _N connected to each of the to 120 _{AN and} the database units 180 ₁ to 180 _M connected to each of at least one client device 120 _B1 to 120 _BM belonging to the client group B. I have. The database unit 150 includes at least the personal history database unit 151.

Database unit ₁₈₀ 1 ~ 180 _N and, in the database unit ₁₈₀ 1 ~ 180 _M, respectively, and the client identification information for identifying the client, and the group identification information for identifying the client group to which the client belongs, Information indicating the correspondence between the personal identification information and the personal identification information is stored.

In the embodiment shown in FIG. 5, the database unit 180 ₁ is provided outside the client device 120 _A1 , but the mode thereof does not matter. For example, the database unit 180 ₁ may be configured as a single external hard disk drive of the client device 120 _A1 , or may be configured as a storage on the cloud connected via a network. Alternatively, the database unit 160 ₁ can be provided inside the client device 150 ₁ . The configuration of the database unit 180 ₁ is not limited to a specific hardware configuration. For example, the database unit 180 ₁ may be composed of a single hardware component or may be composed of a plurality of hardware components. The same applies to the database units 180 ₂ to 180 _N and the database units 180 ₁ to 180 _M.

5. Processing of a computer system FIG. 6 shows an example of a processing flow executed in the computer system 100'. In the embodiment shown in FIG. 6, it is assumed that the client device 120 _A1 holds the personal identification information. Hereinafter, each step shown in FIG. 6 will be described.

Step S601: the client device 120 _A1, among the plurality of personal identification information stored in the database unit 180 _1, identifies the personal identification information corresponding to the personal identification information transmitted. This processing is executed by referring to the information indicating the correspondence between the personal identification information and the personal identification information stored in the database unit 180 _1.

Step S602: The client device 120 _A1 transmits the personal identification information, the identified personal identification information, the client identification information for identifying the client device 120 _A1 , and the distribution format to the server device 110. The distribution format may be, for example, a predetermined format owned by the client device 120 _A1 or a predetermined format provided in advance by the server device 110. The distribution format is the base of the content to be distributed.

Step S603: The server device 110 receives the personal identification information, the identified personal identification information, the client identification information, and the distribution format from the client device 120 _A1 . This step corresponds to step S405 shown in FIG.

Step S604: The server device 110 temporarily stores at least the personal identification information received in step S603 in the memory unit 113.

Step S605: The server device 110 identifies the personal history information associated with the received personal identification information and the received client identification information among the plurality of personal history information stored in the personal history database unit 151. .. Since this step corresponds to step S407 shown in FIG. 4, detailed description thereof will be omitted here.

Step S606: The server device 110 distributes content to an individual identified by the temporarily stored personal identification information based on at least the received personal identification information and the personal history information identified in step S605. To customize. Since this step corresponds to step S408 shown in FIG. 4, detailed description thereof will be omitted here.

Step S607: The server device 110 executes a process for executing customized content distribution. Since this step corresponds to step S409 shown in FIG. 4, detailed description thereof will be omitted here.

Step S608: The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. Since this step corresponds to step S410 shown in FIG. 4, detailed description thereof will be omitted here.

Step S609: The server device 110 acquires the execution result of the customized content distribution. Since this step corresponds to step S411 shown in FIG. 4, detailed description thereof will be omitted here.

Step S610: The server device 110 receives personal history information (particularly, temporarily stored personal identification information) stored in the database unit 141 so as to reflect the execution result of the customized content distribution acquired in step S609. And the personal history information associated with the client identity information). This step corresponds to step S412 shown in FIG.

Step S611: The server device 110 feeds back the execution result of the customized content distribution to the client device 120 _A1 .

In step S602, the client device 120 _A1 may further transmit group identification information for identifying the group A to which the client device 120 _A1 belongs. In this case, in step S603, the server device 110 further receives the group identification information from the client device 120 _A1 , and in step S605, the server device 110 has a plurality of personal history information stored in the personal history database unit 151. Among them, the personal history information associated with the received personal identification information and the received group identification information is specified. As a result, "the usage history of the service provided by the client identified by the received group identification information regarding the individual identified by the received personal identification information" is specified. Next, in step S606, the server device 110 further distributes the content to the individual identified by the temporarily stored personal identification information based on the personal history information associated with the personal identification information and the group identification information. To customize. By further reflecting the "usage history of each group" in the customization of the content distribution, it is possible to perform the customized content distribution according to the group identified by the received group identification information. An example of content distribution customized according to the group is as described above.

Alternatively, instead of the client device 120 _A1 further transmitting group identification information for identifying the group A to which the client device 120 _A1 belongs in step S602, at any time between step S603 and step S605 (eg, for example. Of the plurality of group identification information stored in the database unit 150, the group identification information associated with the client identification information received in step S603 may be specified.

In the embodiment shown in FIG. 6, step S608 has been described as being executed at a timing after step 607 and before step S609, but the present invention is not limited thereto. Step S608 may be executed at any timing after step S607. For example, step S608 may be executed after a predetermined time (for example, 24 hours) has elapsed from the execution of step S607.

6. Other configurations of computer systems to realize new business models (alternative configuration 2)
FIG. 7 shows an example of the configuration of the computer system 100 ”for realizing the above-mentioned new business model. In the embodiment shown in FIG. 7, the server device holds personal information (particularly, personal identification information). It communicates directly with at least one client device, and the identification information database unit is connected to the server device.

In the embodiment shown in FIG. 7, the computer system 100 ”is a server device 110, at least one client device 120 _A1 to 120 _AN belonging to the client group A, and at least one client device 120 _B1 to belonging to the client group B. 120 _BM and, at least one user equipment ₁₄₀ 1 ~ 140 _K are used by at least one individual, and a database unit 150 connected to the server device 110. database 150, personal history database A unit 151 and an identification information database unit 152 are included.

In the embodiment shown in FIG. 7, the configuration of each database unit included in the database unit 150 is not limited to a specific hardware configuration. For example, each database unit included in the database unit 150 may be composed of a single hardware component or may be composed of a plurality of hardware components.

FIG. 8 shows an example of the configuration of the information stored in the identification information database unit 152.

The identification information database unit 152 stores information indicating the correspondence between the personal identification information and the personal identification information and the like. Specifically, the identification information database unit 152 stores information indicating the correspondence between the personal identification information and the combination (client identification information, group identification information). In the embodiment shown in FIG. 8, for example, the (client identification information, group identification information) corresponding to the personal identification information “16CQW” are (CXXXAA, GXXXA), respectively.

7. Processing of the computer system FIG. 9 shows an example of a flow of processing executed in the computer system 100 ”. In the embodiment shown in FIG. 9, the client device 120 _A1 has personal information (particularly, personal identification information). Each step shown in FIG. 9 will be described below.

Step S901: The client device 120 _A1 transmits the personal identification information, the client identification information for identifying the client device 120 _A1 , and the distribution format to the server device 110. The distribution format is the basis of the content to be distributed. The distribution format may be, for example, a predetermined format owned by the client device 120 _A1 or a predetermined format provided in advance by the server device 110.

Step S902: The server device 110 receives the personal identification information, the client identification information, and the distribution format from the client device 120 _A1 .

Step S903: The server device 110 temporarily stores at least the personal identification information received in step S902 in the memory unit 113.

Step S904: The server device 110 generates personal identification information corresponding to the temporarily stored personal identification information. This process can be achieved, for example, by converting the temporarily stored personal identification information into personal identification information using a predetermined function (for example, an irreversible conversion function). Alternatively, in this process, for example, a predetermined logic is used to convert the temporarily stored personal identification information into intermediate identification information, and a predetermined function is used to convert the intermediate identification information into personal identification information. Achieved by.

An example of a predetermined function is a hash function, and an example of a predetermined logic is "convert k to k + 1 (1 ≦ k ≦ 9, where 9 + 1 = 0)", but is not limited thereto. .. For example, when the personal identification information is the telephone number "12345678901", the personal identification information "12345678901" is converted into the intermediate identification information "23456789012" by using a predetermined logic, and the intermediate identification information "23456789012" is predetermined. It is converted into personal identification information "5SL65A" by using the hash function of.

Other examples of the predetermined logic include, but are not limited to, "following a predetermined combination of alphanumeric characters", "following a combination of alphanumeric characters based on personal identification information", and the like. For example, when the personal identification information is the telephone number "12345678901", the personal identification information "12345678901" is converted into the intermediate identification information "12345678901LVPS" by using a predetermined logic, and the intermediate identification information "12345678901LVPS" is predetermined. It is converted into personal identification information "MLB58Q" by using the hash function of.

Note that these predetermined functions and predetermined logics may be set to be different for each individual, each client, and / or each group, for example. That is, one of the plurality of predetermined functions and one of the plurality of predetermined logics may be associated with the client identification information and / or the group identification information. As a result, even if one predetermined function or predetermined logic is leaked to the outside and personal identification information associated with the one predetermined function or predetermined logic is leaked to the outside, another predetermined function or predetermined logic is leaked to the outside. Alternatively, it is possible to prevent leakage of personal identification information associated with a predetermined logic.

Step S905: The server device 110 identifies the personal history information associated with the personal identification information generated in step S904 and the client identification information received in step S902. Since this step corresponds to step S407 shown in FIG. 4, detailed description thereof will be omitted here.

Step S906: The server device 110 is for an individual identified by the temporarily stored personal identification information based on at least the temporarily stored personal identification information and the personal history information identified in step S905. , Customize content delivery. Since this step corresponds to step S408 shown in FIG. 4, detailed description thereof will be omitted here.

Step S907: The server device 110 executes a process for executing customized content distribution. Since this step corresponds to step S409 shown in FIG. 4, detailed description thereof will be omitted here.

Step S908: The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. Since this step corresponds to step S410 shown in FIG. 4, detailed description thereof will be omitted here.

Step S909: The server device 110 acquires the execution result of the customized content distribution. Since this step corresponds to step S411 shown in FIG. 4, detailed description thereof will be omitted here.

Step S910: The server device 110 reflects the personal history information stored in the database unit 141 (particularly, the personal history information specified in step S905) so as to reflect the execution result of the customized content distribution acquired in step S909. ) Is updated. This step corresponds to step S412 shown in FIG.

Step S9111: The server device 110 feeds back the execution result of the customized content distribution to the client device 120 _A1 .

In step S901, the client device 120 _A1 may further transmit group identification information for identifying the group A to which the client device 120 _A1 belongs. In this case, in step S902, the server device 110 further receives the group identification information from the client device 120 _A1 , and in step S905, the server device 110 has a plurality of personal history information stored in the personal history database unit 151. Among them, the personal history information associated with the received personal identification information and the received group identification information is specified. As a result, "the usage history of the service provided by the client identified by the received group identification information regarding the individual identified by the received personal identification information" is specified. Next, in step S906, the server device 110 further distributes the content to the individual identified by the temporarily stored personal identification information based on the personal history information associated with the personal identification information and the group identification information. To customize. By further reflecting the "usage history of each group" in the customization of the content distribution, it is possible to perform the customized content distribution according to the group identified by the received group identification information. An example of content distribution customized according to the group is as described above.

Alternatively, instead of the client device 120 _A1 further transmitting group identification information for identifying the group A to which the client device 120 _A1 belongs in step S901, at any time between step S902 and step S906 (eg, for example. Of the plurality of group identification information stored in the database unit 150, the group identification information associated with the client identification information received in step S902 may be specified.

In the embodiment shown in FIG. 9, step S908 has been described as being executed at a timing after step 907 and before step S909, but the present invention is not limited thereto. Step S908 may be executed at any timing after step S907. For example, step S908 may be executed after a predetermined time (for example, 24 hours) has elapsed from the execution of step S907.

In the embodiment shown in FIGS. 4, 6 and 9, it has been described that the content distribution is customized based on the distribution format received from the client device 120 _A1 , but the present invention is not limited to this. The distribution format, which is the base of the content to be distributed, does not have to be the one received from the client device 120 _A1 . For example, the database unit 150 connected to the server device 110 further includes a format database unit (not shown) in which a plurality of formats are stored, and the server device 110 further includes a format database unit (not shown) before the server device 110 customizes the content distribution. Multiple of the personally identifiable information and / or the personal history information associated with the personally identifiable information and the client identifiable information, and / or the personal history information associated with the personally identifiable information and the group identifiable information. The distribution format may be specified from the formats, and the content to be distributed may be generated based on the specified distribution format. Thereby, the distribution format can also be specified according to the client and / or the group.

Further, in the embodiment shown in FIGS. 4, 6 and 9, the server device 110 receives the delivery identification information for identifying the content and result of each delivery from the intermediary device 130 ₁ or the client device 120 _A1. You may do so. In this case, the server device 110 identifies the personal history information associated with the received distribution identification information among the plurality of personal identification information stored in the personal history database unit 151, and uses the received distribution identification information as the received distribution identification information. It is possible to execute content distribution for individuals based on the associated personal history information. As a result, it is possible to refer to a specific past delivery shown in the personal history information associated with the received delivery identification information, and by extension, the content is delivered so as to match this specific past delivery. Is possible.

Further, in the embodiment shown in FIG. 4, in step S403, the intermediary device 130 _1, among a plurality of personal identification information stored in the database unit 160 _1, the personal identification information corresponding to the received personal identification information However, the present invention is not limited to this. For example, in step S403 of FIG. 4, the intermediary device 130 ₁ uses the predetermined function and / or predetermined logic described above to convert the received personal identification information into personal identification information, thereby converting the received personal identification information into personal identification information. Personal identification information corresponding to the specific information may be specified. In this case, a predetermined function and / or a predetermined logic used by the intermediary device 130 ₁ is stored in the database unit 160 _1, need not be more personal identification information is stored in the database unit 160 ₁ ..

Further, in the embodiment shown in FIG. 6, in step S601, the client device 120 _A1 is, among a plurality of personal identification information stored in the database unit 180 _1, the personal identification information corresponding to the personal identification information transmitted However, the present invention is not limited to this. For example, in step S601 of FIG. 6, the client device 120 _A1 is transmitted by converting the transmitted personal identification information into personal identification information by using the predetermined function and / or the predetermined logic described above. Personal identification information corresponding to the specific information may be specified. In this case, a predetermined function and / or a predetermined logic used by the client device 120 _A1 is stored in the database unit 180 _1, need not be more personal identification information is stored in the database unit 180 ₁ ..

Further, as described above, the client device (i.e., at least one client device ₁₂₀ A1 ~ _{120 AN,} at least one client device ₁₂₀ B1 ~ _{120 BM,} intermediary device ₁₃₀ 1 ~ 130 _L) is a predetermined function as described above and / Alternatively, when the personal identification information is specified by using a predetermined logic, the predetermined function and the predetermined logic may be different for each client device. As a result, even if one predetermined function or predetermined logic is leaked to the outside and personal identification information associated with the one predetermined function or predetermined logic is leaked to the outside, another predetermined function or predetermined logic is leaked to the outside. Alternatively, it is possible to prevent leakage of personal identification information associated with a predetermined logic.

Further, as described above, the client device (i.e., at least one client device ₁₂₀ A1 ~ _{120 AN,} at least one client device ₁₂₀ B1 ~ _{120 BM,} intermediary device ₁₃₀ 1 ~ 130 _L) is a predetermined function as described above and / Alternatively, when the personal identification information is specified by using a predetermined logic, the predetermined function and / or the predetermined logic may be changed periodically. Periodic updates of a given function and / or given logic are performed, for example, in response to a client device receiving a notification from server device 110 requesting an update of a given function and / or given logic. It may be executed automatically at a predetermined timing (for example, the beginning of the month, the 0th day of every month, the 0th day of each year). When a predetermined function and / or a predetermined logic is updated by the client device, for example, the client device transmits the personal identification information before the update and the personal identification information after the update to the server device 110, and the server device 110 Receives the personal identification information before the update and the personal identification information after the update from the client device, and the server device 110 updates the personal identification information before the update in the personal history database unit 151. Update the personal identification information to replace with.

In the embodiment described above, the client device (i.e., at least one client device ₁₂₀ A1 ~ _{120 AN,} at least one client device ₁₂₀ B1 ~ _{120 BM,} intermediary device ₁₃₀ 1 ~ 130 _L) is a predetermined function and / or predetermined Although the case where the personal identification information is specified by using the logic has been described, the present invention is not limited to this. For example, the client device may encrypt the personal identification information by using the encryption key, and the encrypted personal identification information may be specified as the personal identification information. In this case, the server device 110 does not have a decryption key. Therefore, the server device 110 cannot decrypt the encrypted personal identification information.

Although the above-described embodiments have been described so far for customized content distribution for a specific individual, the present invention is not limited to this. For example, customized content delivery may be performed for a cluster to which a plurality of individuals belong. In this case, in the embodiments of FIGS. 4, 6 and 9, the database unit 150 may further include a cluster history database unit (not shown). Hereinafter, content distribution customized for a cluster to which a plurality of individuals belong will be described.

FIG. 10 shows an example of the configuration of the information stored in the cluster history database section.

A plurality of cluster history information is stored in the cluster history database unit 153. The cluster history information can be identified by, for example, information for identifying a cluster (cluster ID). Multiple cluster history information includes personal history information associated with the delivery identifier to identify each delivery, personal history information associated with the client identity information to identify the client, and a group of clients, respectively. It is associated with the personal history information associated with the group identification information for identification. The cluster history information is further associated with a plurality of personal identification information for identifying each of the plurality of individuals belonging to the cluster. The cluster history information is information obtained by clustering a plurality of personal history information indicating a personal distribution service usage history stored in the personal history database unit 151. The cluster history information may be information in which a plurality of personal history information is classified based on one common item among the plurality of personal history information as a result of this clustering. An example of information in which multiple personal history information is classified based on one common item among multiple personal history information as a result of this clustering is that multiple personal history information is eventually classified by this clustering as an individual's age. Information categorized based on strata, multiple personal history information categorized based on individual browsing timing as a result of this clustering, multiple personal history information eventually categorized as personal deposit type by this clustering Information categorized based on, multiple personal history information categorized as a result of this clustering based on the individual's thought type, and / or any combination thereof, but not limited to these. Further, the cluster history information may be information in which a plurality of personal history information is classified based on a plurality of common items among the plurality of personal history information as a result of this clustering. An example of information in which multiple personal history information is classified based on multiple common items among multiple personal history information as a result of this clustering is that multiple personal history information is eventually classified by this clustering as a result of personal credit. Information categorized based on level (for example, information indicating low credit clusters with many reminders or low account balances, information indicating medium credit clusters without dunning and average account balances, high price with many account balances Information indicating a high-credit cluster with an investment trust contract).

When the database unit 150 includes the cluster history database unit in the embodiment shown in FIG. 4, the server device 110 is stored in the cluster history database unit at an arbitrary timing after step S407 and before step S408 in FIG. Among the plurality of cluster history information, the cluster history information associated with the personal history information specified in step S407 of FIG. 4 is specified.

Next, instead of step S408 in FIG. 4, in step S408α, the server device 110 temporarily stores the personal identification information, the personal history information specified in step S407 of FIG. 4, and the specified cluster history. Customize content delivery for clusters identified by information to identify clusters, at least based on information (ie, for clusters to which individuals identified by temporarily stored personal identification information belong). ..

When the database unit 150 includes the cluster history database unit in the embodiment shown in FIG. 6, the steps S605 and step S605 of FIG. 6 are the same as in the case where the database unit 150 includes the cluster history database unit in the embodiment shown in FIG. At an arbitrary timing with S606, the server device 110 has a cluster history associated with the personal history information identified in step S605 of FIG. 6 among the plurality of cluster history information stored in the cluster history database unit. The information is then identified, and then instead of step S606 in FIG. 6, the personal identification information temporarily stored in step S606α, the personal history information identified in step 605 of FIG. 6, and the identified cluster history. Customize content delivery for clusters identified by information to identify clusters, at least based on information (ie, for clusters to which individuals identified by temporarily stored personally identifiable information belong). ..

When the database unit 150 includes the cluster history database unit in the embodiment shown in FIG. 9, the steps S905 and step S905 of FIG. 9 are the same as in the case where the database unit 150 includes the cluster history database unit in the embodiment shown in FIG. At an arbitrary timing with S906, the server device 110 has a cluster history associated with the personal history information identified in step S905 of FIG. 9 among the plurality of cluster history information stored in the cluster history database unit. The information is specified, and then, instead of step S906 in FIG. 9, the personal identification information temporarily stored in step S906α, the personal history information specified in step S905 in FIG. 9, and the identified cluster history. Customize content delivery for clusters identified by information to identify clusters, at least based on information (ie, for clusters to which individuals identified by temporarily stored personally identifiable information belong). ..

As a result, even when customizing for an individual with a small amount of personal history information, by using the cluster history information of the cluster to which the individual belongs, content is distributed using the personal history information of other individuals of the same genus. It is possible to customize. In addition, since the personal identification information associated with the client identification information is used, it is possible to realize customization for the cluster according to the client. Further, by customizing the content distribution using both the personal history information and the cluster history information, it is possible to reflect the customization based on the personal history information in the customization based on the cluster history information. For example, if the recommendations of plans A to C are specified as the contents of content distribution by customization based on cluster history information, and if the individual is already using plan C by customization based on personal history information, the content distribution It is possible to customize the content to the recommendations of Plan A and Plan B.

Note that client identification information is not essential when customizing for a cluster. This will be described below with reference to FIG.

FIG. 11 shows an example of a processing flow executed in the server device 110. Hereinafter, each step shown in FIG. 11 will be described.

Step S1101: Personal identification information is received and personal identification information is acquired. The personal identification information is received from the client device 120 _A1 . The personal identification information may be acquired by being received from the client device 120 _A1 as described in step S405 of FIG. 4 and step S603 of FIG. 6, or as described in step S904 of FIG. In addition, it may be acquired by generating personal identification information corresponding to the received personal identification information.

Step S1102: The received personal identification information is temporarily stored in the memory unit 113. This step corresponds to step S406 shown in FIG.

Step S1103: Of the plurality of personal history information stored in the personal history database unit 151, the personal history information associated with the personal identification information acquired in step S1101 (for example, the personal identification information acquired in step S1101). Personal history information associated with the delivery identification information for identifying each delivery) is identified. As a result, "the usage history of each cluster to which the individual identified by the temporarily stored personal identification information belongs" is specified.

Step S1104: Of the plurality of cluster history information stored in the cluster history database unit, the cluster history information associated with the personal history information specified in step S1103 is specified. The cluster history information associated with the personal history information specified in step S1103 is, for example, cluster history information including at least a part of the personal history information specified in step S1103, and at least the personal history information specified in step S1103. Cluster history information including, but not limited to, information that is partially similar (ie, at least a portion of the personal history information identified in step S1103).

Step S1105: For the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the personal identification information temporarily stored in step S1102 and the cluster history information identified in step S1104. Content delivery is customized. As a result, by reflecting the "usage history of each cluster to which the individual identified by the temporarily stored personal identification information belongs" in the customization of the content distribution, the content distribution customized according to the cluster can be performed. It is possible. It should be noted that this step partially corresponds to step S408 shown in FIG.

Customizing the content distribution for the cluster to which the individual identified by the temporarily stored personally identifiable information in step S406 belongs is, for example, the individual identified by the temporarily stored personally identifiable information in step S406. This includes generating content customized for the cluster to which the individual belongs, specifying the timing of content distribution for the cluster to which the individual identified by the personal identification information temporarily stored in step S406 belongs, and the like. Not limited to.

Step S1106: A process for executing customized content distribution is executed. Since this step corresponds to step S409 shown in FIG. 4, detailed description thereof will be omitted here.

Step S1107: The temporarily stored personal identification information is deleted from the memory unit 113. Since this step corresponds to step S410 shown in FIG. 4, detailed description thereof will be omitted here.

Step S1108: The execution result of the customized content distribution is acquired. Since this step corresponds to step S411 shown in FIG. 4, detailed description thereof will be omitted here.

Step S1109: Personal history information stored in the database unit 141 (particularly, the temporarily stored personal identification information and each distribution are identified so as to reflect the execution result of the customized content distribution acquired in step S1108. (Personal history information associated with the delivery identification information) is updated. This step corresponds to step S412 shown in FIG.

Step S1110: Feedback of the execution result of the customized content delivery is mediated by the client device (that is, at least one client device 120 _A1-120 _AN and / or at least one client device 120 _B1-120 _BM and / or. made to device ₁₃₀ 1 ~ ₁₃₀ _L).

The server device 110 may be configured so as to be able to determine whether to execute the customization of the content distribution for a specific individual or the customization of the content distribution for the cluster. For example, the server device 110 determines whether or not the number of times the information is accumulated for a predetermined item included in the personal history information of the individual specified by the received personal identification information exceeds the threshold value, and the number of times the information is accumulated exceeds the threshold value. If it is determined that the threshold is exceeded, the content distribution for a specific individual is customized, and if it is determined that the number of accumulations does not exceed the threshold, the content distribution for the cluster is performed. You may want to perform customization. Alternatively, the server device 110 determines whether or not the number of times the customized content is delivered to the individual specified by the received personal identification information exceeds the threshold value, and the number of times of the delivery exceeds the threshold value. If it is determined that there is, customize the content distribution for a specific individual, and if it is determined that the number of distributions does not exceed the threshold value, customize the content distribution for the cluster. It may be. Alternatively, the server device 110 determines whether or not a request for customizing the content distribution for a specific individual has been received from the client device, and the client makes a request for customizing the content distribution for the specific individual. If it is received from the device, it will perform content delivery customization for a specific individual, and if it has not received a request from the client device to customize the content delivery for a specific individual, it will be for the cluster. You may want to customize the content delivery.

8. Other Processing of the Computer System In the embodiment shown in FIG. 4, at any time after step S402 and before step S403, in step S402', the intermediary device 130 ₁ receives the individual received in step S402. It may be determined whether or not the permission for providing the personal identification information corresponding to the specific information to a third party is obtained from the individual specified by the personal identification information. If the determination result is "Yes", the process proceeds to step S403 in FIG. If the determination result is "No", the process proceeds to step S403'described later. In this determination process, for example, whether or not the client device 120 _A1 has received information indicating permission to provide the personal identification information corresponding to the personal identification information received in step S402 of FIG. 4 to a third party. When it is determined that the client device 120 _A1 has received information indicating permission to provide the personal identification information corresponding to the personal identification information received in step S402 of FIG. 4 to a third party, including the determination. In addition, it is determined that the permission for providing the personal identification information corresponding to the personal identification information received in step S402 of FIG. 4 to a third party has been obtained from the individual specified by the personal identification information. This makes it possible to realize a system that can handle cases where the permission of the individual is required in order to provide the personal identification information to a third party. In addition, it is assumed that the brokerage device 130 ₁ is previously licensed by the individual to provide personal identification information to a third party in a limited manner for the purpose of distributing the content.

FIG. 12A shows an example of the flow of processing executed in the computer system 100 after step S402'when the determination result in step S402'is "No". Hereinafter, each step shown in FIG. 12A will be described.

Step S403': The intermediary device 130 ₁ executes a process of adding noise to the personal identification information received in step S402. The process of adding noise to personal identification information includes, but is not limited to, for example, a process of adding noise to personal identification information by using differential privacy.

Step S404': The intermediary device 130 ₁ transmits the personal identification information, the noisy personal identification information, and the client identification information to the server device 110.

Step S405': The server device 110 receives the personal identification information, the noisy personal identification information, and the client identification information from the intermediary device 130 ₁ .

Step S406': The server device 110 temporarily stores at least the personal identification information received in step S405' in the memory unit 113.

Step S407': The server device 110 has among a plurality of noisy cluster history information stored in the noise cluster history database unit (not shown) based on at least the noisy personal identification information received in step S405'. , Identify the noisy cluster history information associated with the noisy personal identification information received in step S405'. The noisy cluster history information associated with the noisy personal identification information received in step S405'is, for example, a noisy cluster history information including at least a part of the noisy personal identification information received in step S405', step. In noisy cluster history information including information similar to at least a part of the noisy personal identification information received in S405'(ie, at least a superordinate concept of the noisy personal identification information received in step S405'). Yes, but not limited to these.

Note that an example of the configuration of the cluster history information with noise stored in the noise cluster history database section is the same configuration as the configuration of the cluster history information stored in the cluster history database section. The data represented by the noisy cluster history information (eg, numerical value) may differ from the data represented by the cluster history information (eg, numerical value) due to noise addition.

Note that in step S407', the server device 110 may specify the noisy cluster history information at least based on the noisy personal identification information and the client identification information. As a result, as described above, it is possible to realize customization for the noisy cluster according to the client. It should be noted that the transmission of the client identification information in step S404'is not essential. If the client identification information is not transmitted, in step S407', the server device 110 does not use the client identification information.

Step S408': The server device 110 temporarily stores the personal identification information based on at least the temporarily stored personal identification information in step S406'and the noisy cluster history information identified in step S407'. Customize content delivery for noisy clusters to which individuals identified by information belong. As a result, even if the server device 110 is not authorized by the individual to use the personal identification information in order to identify the personal identification information, the content distribution can be customized by using the cluster history information with noise. It is possible. Note that the noisy cluster refers to a classification clustered by the noisy cluster history information.

Customizing the content delivery for a noisy cluster to which an individual identified by the temporarily stored personally identifiable information in step S406'belongs is, for example, by means of the temporarily stored personally identifiable information in step S406'. Generate customized content for the noisy cluster to which the identified individual belongs, and identify the timing of content delivery for the cluster to which the individual identified by the temporarily stored personal identification information in step S406'belongs. It includes, but is not limited to.

In step S405', the server device 110 further receives the distribution format, and in step S408', the server device 110 customizes the content distribution based on at least the personal identification information, the cluster history information, and the distribution format. You may try to do it.

Step S409': The server device 110 executes a process for executing customized content distribution. Since this step corresponds to step S409 shown in FIG. 4, detailed description thereof will be omitted here.

Step S410': The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. As a result, the server device 110 can be prevented from holding the personal identification information.

Step S411': The server device 110 acquires the execution result of the customized content distribution. Since this step corresponds to step S411 shown in FIG. 4, detailed description thereof will be omitted here.

Step S412': The server device 110 updates the noisy cluster history information stored in the noise cluster history database unit so as to reflect the execution result of the customized content distribution acquired in step S411'.

Step S413': The server device 110 feeds back the execution result of the customized content distribution to the intermediary device 130 ₁ .

Step S414': The intermediary device 130 ₁ provides feedback of the execution result of the customized content distribution to the client device 120 _A1 .

In this way, even when the server device 110 cannot use the personal identification information, the content distribution can be customized by using the noise cluster history information stored in the noise cluster history database unit. It is possible to achieve customized content delivery for noisy clusters.

In the embodiment shown in FIG. 12A, an example in which the server device 110 customizes the content distribution without using the personal identification information (that is, using the cluster history information with noise) has been described, but the present invention has been described. , Not limited to this. Hereinafter, another example in which the server device 110 customizes the content distribution without using the personal identification information will be described with reference to FIG. 12B.

FIG. 12B shows another example of the flow of processing executed in the computer system 100 after step S402 ′ when the determination result in step S402 ′ is “No”. Hereinafter, each step shown in FIG. 12B will be described.

Step S403 ": The intermediary device 130 ₁ identifies the client identification information.

Step S404 ": The intermediary device 130 ₁ transmits the personal identification information and the client identification information to the server device 110. The personal identification information in this embodiment is preferably personal information data (preferably used for content distribution). For example, it further includes the individual's name, date of birth, address, information about the services the individual is providing from the client (eg, the individual's insurance plan, insurance maturity date, etc.), which will be described below. In "S407", it is possible to identify a cluster (cluster history information) that is more suitable for the individual.

Step S405 ”: The server device 110 receives the personal identification information and the client identification information from the intermediary device 130 ₁ .

Step S406 ": The server device 110 temporarily stores the personal identification information received in step S405" in the memory unit 113.

Step S407 ": The server device 110 has the personal identification received in step S405" among the plurality of cluster history information stored in the cluster history database unit based on at least the personal identification information received in step S405 ". Identify the cluster history information associated with the information. The cluster history information associated with the personal identification information received in step S405 "is, for example, a cluster containing at least a part of the personal identification information received in step S405". Historical information, cluster history information including information similar to at least a part of the personal identification information received in step S405 "(that is, at least a superordinate concept of at least a part of the personal identification information received in step S405". , Not limited to these.

In "step S407", the server device 110 may specify the cluster history information at least based on the personal identification information and the client identification information. As a result, as described above, the server device 110 responds to the client. It is possible to realize customization for the cluster. It is not essential to transmit the client identification information in step S404 ”. If the client identification information is not transmitted, in step S407 ", the server device 110 does not use the client identification information.

Step S408 ": The server device 110 uses the temporarily stored personal identification information based on at least the personal identification information temporarily stored in step S406" and the cluster history information identified in step S407 ". Customize the content distribution for the cluster to which the identified individual belongs, even if the server device 110 is not authorized by the individual to use the personally identifiable information to identify the personally identifiable information. , It is possible to customize the content distribution by using the cluster history information.

It should be noted that the content distribution can be customized for the cluster to which the individual identified by the personal identification information temporarily stored in step S406 "belongs, for example, by the personal identification information temporarily stored in step S406". Generating customized content for the cluster to which the identified individual belongs, specifying the timing of content distribution for the cluster to which the individual identified by the personal identification information temporarily stored in step S406 "belongs, etc. Including, but not limited to.

In step S405 ", the server device 110 further receives the distribution format, and in step S408", the server device 110 customizes the content distribution based on at least the personal identification information, the cluster history information, and the distribution format. You may try to do it.

Step S409 ": The server device 110 executes a process for executing customized content distribution. Since this step corresponds to step S409 shown in FIG. 4, detailed description thereof will be omitted here.

Step S410 ”: The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. This makes it possible for the server device 110 not to hold the personal identification information.

Step S411 ": The server device 110 acquires the execution result of the customized content distribution. Since this step corresponds to step S411 shown in FIG. 4, detailed description thereof will be omitted here.

Step S412 ": The server device 110 updates the cluster history information stored in the cluster history database unit so as to reflect the execution result of the customized content distribution acquired in step S411".

Step S413 ”: The server device 110 provides feedback of the execution result of the customized content distribution to the intermediary device 130 ₁ .

Step S414 ": The intermediary device 130 ₁ provides feedback of the execution result of the customized content distribution to the client device 120 _A1 .

Further, in the embodiment shown in FIG. 6, at any time before step S601, 'in, step S402 described above' Step S600 similarly to the client device _{120 A1} is personally identifiable client device _{120 A1's} It may be determined whether or not the permission for providing the personal identification information corresponding to the information to a third party is obtained from the individual specified by the personal identification information. If the determination result is "Yes", the process proceeds to step S601 of FIG. If the determination result is "No", the process proceeds to step S601'described later. This makes it possible to realize a system that can handle cases where the permission of the individual is required in order to provide the personal identification information to a third party. It is assumed that the client device 120 _A1 is previously licensed by the individual to provide personal identification information to a third party in a limited manner for the purpose of distributing the content.

FIG. 13A shows an example of the flow of processing executed in the computer system 100'after the step S600' when the determination result in the step S600'is "No". Hereinafter, each step shown in FIG. 13A will be described.

Step S601': The client device 120 _A1 executes a process of adding noise to the personal identification information held by the client device 120 _A1 . The process of adding noise to personal identification information includes, but is not limited to, for example, a process of adding noise to personal identification information by using differential privacy.

Step S602': The client device 120 _A1 transmits the personal identification information, the noisy personal identification information, and the client identification information to the server device 110.

Step S603': The server device 110 receives the personal identification information, the noisy personal identification information, and the client identification information from the client device 120 _A1 .

Step S604': The server device 110 temporarily stores at least the personal identification information received in step S603' in the memory unit 113.

Step S605': The server device 110 has among a plurality of noisy cluster history information stored in the noise cluster history database unit (not shown) based on the noisy personal identification information received in step S603'. Identify the noisy cluster history information associated with the noisy personal identification information received in step S603'. Since this process corresponds to step S407'in FIG. 12A, this detailed description will be omitted here.

Note that in step S605', the server device 110 may specify the noisy cluster history information at least based on the noisy personal identification information and the client identification information. As a result, as described above, it is possible to realize customization for the noisy cluster according to the client. The transmission of the client identification information in step S602'is not essential. If the client identification information is not transmitted, in step S605', the server device 110 does not use the client identification information.

Step S606': The server device 110 temporarily stores the personal identification information based on at least the personal identification information temporarily stored in step S604'and the noisy cluster history information identified in step S605'. Customize content delivery for noisy clusters to which individuals identified by information belong. Since this process corresponds to step S408'in FIG. 12A, this detailed description will be omitted here.

In step S603', the server device 110 further receives the distribution format, and in step S606', the server device 110 customizes the content distribution based on at least the personal identification information, the cluster history information, and the distribution format. You may try to do it.

Step S607': The server device 110 executes a process for executing customized content distribution. Since this step corresponds to step S409'shown in FIG. 12A, a detailed description thereof will be omitted here.

Step S608': The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. As a result, the server device 110 can be prevented from holding the personal identification information.

Step S609': The server device 110 acquires the execution result of the customized content distribution. Since this step corresponds to step S411 shown in FIG. 4, detailed description thereof will be omitted here.

Step S610': The server device 110 updates the noisy cluster history information stored in the noise cluster history database unit so as to reflect the execution result of the customized content distribution acquired in step S609'.

Step S611': The server device 110 feeds back the execution result of the customized content distribution to the client device 120 _A1 .

In the embodiment shown in FIG. 13A, an example in which the server device 110 customizes the content distribution without using the personal identification information (that is, using the cluster history information with noise) has been described, but the present invention has been described. , Not limited to this. Hereinafter, another example in which the server device 110 customizes the content distribution without using the personal identification information will be described with reference to FIG. 13B.

FIG. 13B shows another example of the flow of processing executed in the computer system 100'after step S600' when the determination result in step S600'is "No". Hereinafter, each step shown in FIG. 13B will be described.

Step S601 ”: Client device 120 _A1 identifies the client identification information.

Step S602 ”: The client device 120 _A1 transmits the personal identification information held by the client device 120 _A1 and the client identification information to the server device 110. The personal identification information in this embodiment is preferably for content distribution. Further includes personal information data used in (eg, personal name, date of birth, address, information about services provided by the individual from the client (eg, personal insurance plan, insurance maturity date), etc.) Thereby, in step S605 ”described later, it is possible to identify the cluster (cluster history information) more suitable for the individual.

Step S603 ”: The server device 110 receives the personal identification information and the client identification information from the client device 120 _A1 .

Step S604 ": The server device 110 temporarily stores the personal identification information received in step S603" in the memory unit 113.

Step S605 ": The server device 110 has the personal identification information received in step S603" among the plurality of cluster history information stored in the cluster history database unit based on the personal identification information received in step S603 ". The cluster history information associated with the personal identification information received in step S603 "is, for example, a cluster history including at least a part of the personal identification information received in step S603". Information, cluster history information including information similar to at least a part of the personal identification information received in step S603 "(that is, at least a superordinate concept of at least a part of the personal identification information received in step S603". Not limited to these.

Step S606 ": The server device 110 uses the temporarily stored personal identification information based on at least the personal identification information temporarily stored in step S604" and the cluster history information identified in step S605 ". The content distribution is customized for the cluster to which the specified individual belongs. Since this process corresponds to step S408 "in FIG. 12B, this detailed description is omitted here.

In step S603 ", the server device 110 further receives the distribution format, and in step S606", the server device 110 customizes the content distribution based on at least the personal identification information, the cluster history information, and the distribution format. You may try to do it.

Step S607 ": The server device 110 executes a process for executing customized content distribution. Since this step corresponds to step S409" shown in FIG. 12B, detailed description thereof will be omitted here.

Step S608 ": The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. Thereby, the server device 110 can be prevented from holding the personal identification information.

Step S609 ": The server device 110 acquires the execution result of the customized content distribution. Since this step corresponds to step S411" shown in FIG. 12B, detailed description thereof will be omitted here.

Step S610 ": The server device 110 updates the cluster history information stored in the cluster history database unit so as to reflect the execution result of the customized content distribution acquired in step S409".

Step S611 ”: The server device 110 feeds back the execution result of the customized content distribution to the client device 120 _A1 .

9. Other configurations of computer systems to realize new business models (alternative configuration 3)
In the above-described embodiment, an example in which the server device 110 customizes the content distribution based on at least the personal history information, the cluster history information, or the noisy cluster history information has been described, but the present invention is not limited thereto. For example, as in the embodiments shown in FIGS. 14 and 15, which will be described later, the server device 110 may customize the content distribution based on at least a specific personal virtual model. As a result, the server device 110 does not need to store the history data of the content distribution in the database unit, and can apply an algorithm capable of mechanical learning and analysis to the customization of the content distribution.

FIG. 14 shows an example of the configuration of the computer system 1400 for realizing the above-mentioned new business model. In the embodiment shown in FIG. 14, the server device directly communicates with at least one client device that holds personal information (particularly, personal identification information), and the client identification information for identifying the client and the client identification information thereof. A database unit (not shown) that stores group identification information for identifying a client group to which a client belongs is connected to each of at least one client device.

In the embodiment shown in FIG. 14, the computer system 1400 includes a server device 110, and at least one client device ₁₂₀ A1 ~ _{120 AN} belongs to the client group A, at least one client device ₁₂₀ B1 ~ 120 belonging to the client group B and _BM, and it includes at least one user equipment ₁₄₀ 1 ~ 140 _K are used by at least one individual, and a database unit 150 connected to the server device 110. The database unit 150 includes an identification information database unit 152'and a model database unit 153.

In the embodiment shown in FIG. 14, the configuration of each database unit included in the database unit 150 is not limited to a specific hardware configuration. For example, each database unit included in the database unit 150 may be composed of a single hardware component or may be composed of a plurality of hardware components.

FIG. 15A shows an example of the configuration of the information stored in the identification information database unit 152'.

The identification information database unit 152'stores information indicating the correspondence between the noisy personal identification information and the model identification information for identifying the model. Further, as shown in FIG. 15A, information indicating each of the correspondence between the noisy personal identification information and the client identification information and the correspondence between the noisy personal identification information and the group identification information may be stored. In the embodiment shown in FIG. 15A, for example, the (model identification information, client identification information, group identification information) corresponding to the noisy personal identification information “xyzxyz” are (aabbcc, CXXXAA, GXXXA), respectively.

In this specification, the "model" means a virtual one that executes machine learning for customization of content distribution.

FIG. 15B shows an example of the configuration of the information stored in the model database unit 153.

Information about the model is stored in the model database unit 153. Information about the model can be identified, for example, by information for identifying the model (model ID). Information about the model is associated with, for example, model identification information for identifying the model, client identification information for identifying the client, and group identification information for identifying the client group to which the client belongs. Information about the model includes, for example, model data indicating the model itself. The model can be updated by any method (eg, collaborative machine learning technology, split neural network technology).

For example, the model is updated by collaborative machine learning technology. In this method, the model indicated by the model data in the model database unit 153 is a shared model, and the shared model is updated according to the following procedure.
(1) The client device 120 _A1 and the client device 120 _A2 each transmit a download request for the shared model to the server device 110.
(2) The server device 110 transmits the shared model to each of the client device 120 _A1 and the client device 120 _A2 .
(3) The client device 120 _A1 generates and shares an individual model for the individual A by applying the personal information (for example, personal identification information) of the individual A held by the client device 120 _A1 to the shared model. Generate first update information indicating changes (improvements) from the model. The first update information does not include personal identification information.
(4) The client device 120 _A2 generates and shares an individual model for the individual B by applying the personal information (for example, personal identification information) of the individual B held by the client device 120 _A2 to the shared model. Generate second update information indicating changes (improvements) from the model. The second update information does not include personal identification information.
(5) The client device 120 _A1 and the client device 120 _A2 transmit the first update information and the second update information to the server device 110, respectively.
(6) The server device 110 updates the shared model based on the first update information and the second update information. The server device 110 executes, for example, a process of averaging the first update information and the second update information, and updates the shared model using the averaged update information.
(7) Repeat steps (1) to (6).

In this way, the server device 110 holds the personal identification information by updating the sharing model based on the update information received from the client device and executing the customization of the content distribution based on the updated sharing model. It is possible to perform customized content delivery without any need.

In this example, an example in which update information is transmitted from two client devices to a server device has been described, but the present invention is not limited to this. The number of client devices that transmit update information is any integer greater than or equal to 1.

Also, for example, the model is updated by split neural network technology. In this method, each client device has an individual model, and the individual model is updated according to the following procedure.
(1) The client device 120 _A1 is an individual model for the individual A by applying the personal information (for example, personal identification information) of the individual A held by the client device 120 _A1 to the individual model for the individual A. Calculate part of the forward propagation.
(2) The client device 120 _A2 is an individual model for the individual B by applying the personal information (for example, personal identification information) of the individual B held by the client device 120 _A2 to the individual model for the individual B. Calculate part of the forward propagation.
(3) The client device 120 _A1 and the client device 120 _A2 are an individual model for individual A, a part of the calculated forward propagation of the individual model for individual A, and an individual model for individual B, respectively. , And a portion of the calculated forward propagation of the individual model for individual B is transmitted to the server device 110.
(4) The server device 110 calculates a part of the calculated forward propagation of the individual model for the individual A and the individual model for the individual A, the individual model for the individual B, and the individual model for the individual B. Based on the portion of the forward propagation that has been done, the model is integrated to calculate the remaining portion of the forward propagation and generate an integrated model.
(5) The server device 110 calculates a part of backpropagation in the integrated model.
(6) The server device 110 transmits a part of the back propagation calculated in the integrated model to each of the client device 120 _A1 and the client device 120 _A2 .
(7) The client device 120 _A1 calculates the remaining part of the backpropagation in the integrated model, and updates the individual model for the individual A based on the calculation result of the backpropagation of the integrated model. The client device 120 _A2 also updates the individual model of the client device 120 _{A2 in} the same manner.

As described above, the server device 110 receives only a part of the individual model and the calculated forward propagation, and does not include the personal identification information. Further, the client device 120 _A1 uses an integrated model that combines data from other client devices by updating the individual model of the client device 120 _A1 based on the calculation result of the back propagation of the integrated model. Is possible and can benefit from its integrated model.

10. Other Processing of the Computer System FIG. 16 shows an example of a processing flow executed in the computer system 1400. In the embodiment shown in FIG. 16, for example, it is assumed that the model update using the cooperative machine learning technique is adopted. Further, in the embodiment shown in FIG. 16, it is assumed that the client device 120 _A1 holds personal information (particularly, personal identification information), and the server device 110 holds a shared model. Hereinafter, each step shown in FIG. 16 will be described.

Step S1601: The client device 120 _A1 executes a process of adding noise to the personal identification information held by the client device 120 _A1 . The process of adding noise to personal identification information includes, but is not limited to, for example, a process of adding noise to personal identification information by using differential privacy.

Step S1602: The client device 120 _A1 transmits the personal identification information, the noisy personal identification information, and the client identification information to the server device 110.

Step S1603: The server device 110 receives the personal identification information, the noisy personal identification information, and the client identification information from the client device 120 _A1 .

Step S1604: The server device 110 temporarily stores at least the personal identification information received in step S1603 in the memory unit 113.

Step S1605: The server device 110 informs the model database unit 153 based on the noisy personal identification information received in step S1603 or based on the noisy personal identification information and the client identification information received in step S1603. Among the plurality of stored models, the model (that is, the shared model) associated with the noisy personal identification information received in step S1603 is specified.

Step S1606: The server device 110 is for individuals identified by the temporarily stored personal identification information, at least based on the personal identification information temporarily stored in step S1604 and the model identified in step S1605. To customize the content delivery.

Customizing the content distribution for the individual identified by the personally identifiable information temporarily stored in step S1604 is, for example, customized for the individual identified by the personally identifiable information temporarily stored in step S1604. It includes, but is not limited to, generating the created content, specifying the timing of content distribution for the individual specified by the personal identification information temporarily stored in step S1604, and the like.

Step S1607: The server device 110 executes a process for executing customized content distribution. Since this process corresponds to step S409 in FIG. 4, this detailed description will be omitted here.

Step S1608: The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. As a result, the server device 110 can be prevented from holding the personal identification information.

Step S1609: The server device 110 acquires the execution result of the customized content distribution. Since this process corresponds to step S411 in FIG. 4, this detailed description will be omitted here.

Step S1610: The server device 110 determines the model (particularly, the temporarily stored personal identification information and the client identification information) in the model database unit 153 so as to reflect the execution result of the customized content distribution acquired in step S1609. Update the model associated with).

Step S1611: The server device 110 feeds back the execution result of the customized content distribution to the client device 120 _A1 .

FIG. 17 shows another example of the flow of processing executed in the computer system 1400. In the embodiment shown in FIG. 17, for example, it is assumed that a model update using the split neural network technique is adopted. Further, in the embodiment shown in FIG. 17, it is assumed that the client device 120 _A1 has personal information (particularly, personal identification information) and an individual model corresponding to each individual. Hereinafter, each step shown in FIG. 17 will be described.

Step S1701: The client device 120 _A1 executes a process of adding noise to the personal identification information held by the client device 120 _A1 . Since this process corresponds to step S1601 of FIG. 16, this detailed description will be omitted here.

Step S1702: The client device 120 _A1 transmits the personal identification information, the noisy personal identification information, and the personal individual model specified by the personal identification information to the server device 110.

Step S1703: The server device 110 receives the personal identification information, the noisy personal identification information, and the personal individual model specified by the personal identification information from the client device 120 _A1 .

Step S1704: The server device 110 temporarily stores at least the personal identification information received in step S1703 in the memory unit 113.

Step S1705: The server device 110 is an individual identified by the temporarily stored personal identification information at least based on the personal identification information temporarily stored in step S1704 and the individual model received in step S1703. Customize content delivery for you.

Customizing the content distribution for the individual identified by the temporarily stored personal identification information in step S1704 may be, for example, customized for the individual identified by the temporarily stored personal identification information in step S1704. It includes, but is not limited to, generating the created content, specifying the timing of content distribution for the individual specified by the personal identification information temporarily stored in step S1704, and the like.

Step S1706: The server device 110 executes a process for executing customized content distribution. Since this process corresponds to step S409 in FIG. 4, this detailed description will be omitted here.

Step S1707: The server device 110 deletes the temporarily stored personal identification information from the memory unit 113. As a result, the server device 110 can be prevented from holding the personal identification information.

Step S1708: The server device 110 acquires the execution result of the customized content distribution. Since this process corresponds to step S411 in FIG. 4, this detailed description will be omitted here.

Step S1709: The server device 110 feeds back the execution result of the customized content distribution to the client device 120 _A1 .

In the embodiments shown in FIGS. 15A, 15B, 16 and 17, an example of customizing content distribution based on a model associated with noise-containing personal identification information has been described, but the present invention is not limited thereto. .. For example, customization of content distribution based on a model associated with personal identification information that has not been subjected to noise-imparting processing may be executed. In this case, in the description of the embodiment shown in FIGS. 15A, 15B, 16 and 17, step S1601 of FIG. 16 and step S1701 of FIG. 17 are omitted, and the identification information database unit 152 shown in FIG. 15A is omitted. In each of the information stored in the'and the steps of FIGS. 16 and 17, "noise-added personal identification information" may be read as "personal identification information".

As described above, the present invention has been illustrated using the preferred embodiment of the present invention, but the present invention should not be construed as being limited to this embodiment. It is understood that the present invention should be construed only by the claims. It will be understood by those skilled in the art that from the description of specific preferred embodiments of the present invention, an equivalent range can be implemented based on the description of the present invention and common general technical knowledge.

The present invention is a server device and a program that enable customized content distribution without possessing personal identification information while using a message distribution application that requires personal identification information to deliver a message. Etc. are useful as providing.

110 server apparatus 120 _A1 ~ _{120 AN} client device 120 _B1 ~ _{120 BM} client device 130 ₁ ~ 130 _L client device 140 ₁ ~ 140 _K user device 150 database unit 160 ₁ ~ 160 _L database section 170 the Internet ₁₈₀ ₁ ~ 180 N, 180 ₁ ~ 180 _M database unit

Claims

A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information is stored in the database unit, and each of the plurality of personal history information is associated with personal identification information.
The processor unit
Receiving personal identification information, personal identification information, and client identification information for identifying a client using the client device from the client device.
Temporarily storing the received personal identification information in the memory unit, and
Among the plurality of personal history information stored in the database unit, specifying the first personal history information associated with the received personal identification information and the received client identification information, and
Customize content distribution for individuals identified by the temporarily stored personal identification information, at least based on the temporarily stored personal identification information and the identified first personal history information. That and
To perform the process for executing the customized content delivery to the specified individual, and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
The processor unit
Group identification information for identifying a group of clients related to the client from the client device,
Further, among the plurality of personal history information stored in the database unit, specifying the second personal history information associated with the received personal identification information and the received group identification information. It is configured to run and
The server device according to claim 1, wherein the customization of the content distribution is performed based on the second personal history information.
The processor unit
2. Claim 2 which is configured to further update the first personal history information and the second personal history information so as to reflect the execution result of the customized content distribution. The server device described in.
The server device according to any one of claims 1 to 3, wherein customizing the content distribution includes customizing the timing at which the content is distributed.
The server device according to any one of claims 1 to 4, wherein customizing the content distribution includes generating customized content for the specified individual.
A plurality of formats are further stored in the database section.
The processor unit
The distribution format is specified from the plurality of formats based on the temporarily stored personal identification information and / or the first personal history information and / or the second personal history information. It is configured to do more to do
The server device according to claim 5, wherein generating the content customized for the specified individual is performed based on the specified distribution format.
The processor unit
It is configured to further receive the distribution format from the client device.
The server device according to claim 5, wherein generating the content customized for the specified individual is performed based on the received distribution format.
A plurality of cluster history information is further stored in the database unit, and each of the plurality of cluster history information is associated with a plurality of personal identification information.
The processor unit
Further executing to specify the cluster history information associated with the specified first personal history information among the plurality of personal identification information among the plurality of cluster history information stored in the database unit. Is configured to
The server device according to any one of claims 1 to 7, wherein customizing the content distribution is executed based on the identified cluster history information.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information is stored in the database unit, and each of the plurality of personal history information is associated with personal identification information.
The processor unit
Receiving personal identification information and client identification information for identifying a client using the client device from the client device, and
Temporarily storing the received personal identification information in the memory unit, and
To generate personal identification information corresponding to the temporarily stored personal identification information based on at least the temporarily stored personal identification information.
Identifying the first personal history information associated with the generated personal identification information and the received client identification information among the plurality of personal history information stored in the database unit.
Customize content distribution for individuals identified by the temporarily stored personal identification information, at least based on the temporarily stored personal identification information and the identified first personal history information. That and
To perform the process for executing the customized content delivery to the specified individual, and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
Generating the personal identification information corresponding to the temporarily stored personal identification information includes converting the temporarily stored personal identification information into the personal identification information by using a predetermined function. The server device according to claim 9.
Converting the temporarily stored personal identification information into the personal identification information using the predetermined function can be performed.
Converting the temporarily stored personal identification information into intermediate identification information using a predetermined logic,
The server device according to claim 10, wherein the intermediate identification information is converted into the personal identification information by using the predetermined function.
The server device according to claim 10 or 11, wherein the predetermined function is an irreversible conversion function.
The processor unit
Group identification information for identifying a group of clients related to the client from the client device,
Further, among the plurality of personal history information stored in the database unit, specifying the second personal history information associated with the received personal identification information and the received group identification information. It is configured to run and
The server device according to any one of claims 9 to 12, wherein the customization of the content distribution is performed based on the second personal history information.
The processor unit
13. Claim 13 which is configured to further update the first personal history information and the second personal history information so as to reflect the execution result of the customized content distribution. The server device described in.
The server device according to any one of claims 9 to 14, wherein customizing the content distribution includes customizing the timing at which the content is distributed.
The server device according to any one of claims 9 to 15, wherein customizing the content distribution includes generating customized content for the specified individual.
A plurality of formats are further stored in the database section.
The processor unit
The distribution format is specified from the plurality of formats based on the temporarily stored personal identification information and / or the first personal history information and / or the second personal history information. It is configured to do more to do
16. The server device of claim 16, wherein generating the personalized content for the identified individual is further based on the received delivery format.
The processor unit
It is configured to further receive the distribution format from the client device.
16. The server device of claim 16, wherein generating the personalized content for the identified individual is further based on the received delivery format.
A plurality of cluster history information is further stored in the database unit, and each of the plurality of cluster history information is associated with a plurality of personal history information.
The processor unit
Further executing to specify the cluster history information associated with the specified first personal history information among the plurality of personal identification information among the plurality of cluster history information stored in the database unit. Is configured to
The server device according to any one of claims 9 to 18, wherein customizing the content distribution is executed based on the identified cluster history information.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information and a plurality of cluster history information are stored in the database unit, and each of the plurality of personal history information is used as personal identification information. It is associated, and each of the plurality of cluster history information is associated with a plurality of personal identification information.
The processor unit
Receiving personal identification information and personal identification information from the client device,
Temporarily storing the received personal identification information in the memory unit, and
Identifying the personal history information associated with the received personal identification information among the plurality of personal history information stored in the database unit, and
Of the plurality of cluster history information stored in the database unit, the cluster history information associated with the specified personal history information among the plurality of personal identification information is specified.
Customize content delivery for the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified cluster history information. That and
To execute the process for executing the customized content distribution and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information and a plurality of cluster history information are stored in the database unit, and each of the plurality of personal history information is used as personal identification information. It is associated, and each of the plurality of cluster history information is associated with a plurality of personal identification information.
The processor unit
Receiving personal identification information from the client device
Temporarily storing the received personal identification information in the memory unit, and
To generate personal identification information corresponding to the temporarily stored personal identification information based on at least the temporarily stored personal identification information.
Identifying the personal history information associated with the generated personal identification information among the plurality of personal history information stored in the database unit, and
Among the plurality of cluster history information stored in the database unit, specifying the cluster history information associated with the generated personal identification information and the specified cluster history information, and
Customize content delivery for the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified cluster history information. That and
To execute the process for executing the customized content distribution and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of noisy cluster history information is stored in the database unit.
The processor unit
Receiving personal identification information and noise-containing personal identification information from the client device,
Temporarily storing the received personal identification information in the memory unit, and
Of the plurality of noisy cluster history information stored in the database unit, the noisy cluster history information associated with the received noisy personal identification information is specified.
Content for the noisy cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified noised cluster history information. Customizing the delivery and
To execute the process for executing the customized content distribution and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of cluster history information is stored in the database unit.
The processor unit
Receiving personal identification information from the client device
Temporarily storing the received personal identification information in the memory unit, and
Identifying the cluster history information associated with the received personal identification information among the plurality of cluster history information stored in the database unit, and
Customize content delivery for the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified cluster history information. That and
To execute the process for executing the customized content distribution and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of models are stored in the database unit.
The processor unit
Receiving personal identification information and noise-containing personal identification information from the client device,
Temporarily storing the received personal identification information in the memory unit, and
Identifying the model associated with the received noise-added personal identification information among the plurality of models stored in the database unit, and
To customize content delivery for individuals identified by the temporarily stored personal identification information, at least based on the temporarily stored personal identification information and the identified model.
To execute the process for executing the customized content distribution and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
A server device for customized content distribution
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The processor unit
Receiving personal identification information, noise-containing personal identification information, and a personal model identified by the personal identification information from the client device.
Temporarily storing the received personal identification information in the memory unit, and
Customizing content delivery for the individual, at least based on the temporarily stored personal identification information and the received model.
To execute the process for executing the customized content distribution and
A server device configured to at least perform deleting the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information is stored in the database unit, and each of the plurality of personal history information is associated with personal identification information.
When the program is executed by the processor unit,
Receiving personal identification information, personal identification information, and client identification information for identifying a client using the client device from the client device.
Temporarily storing the received personal identification information in the memory unit, and
Among the plurality of personal history information stored in the database unit, specifying the first personal history information associated with the received personal identification information and the received client identification information, and
Customize content distribution for individuals identified by the temporarily stored personal identification information, at least based on the temporarily stored personal identification information and the identified first personal history information. That and
To perform the process for executing the customized content delivery to the specified individual, and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information is stored in the database unit, and each of the plurality of personal history information is associated with personal identification information.
When the processor unit is executed by the processor unit,
Receiving personal identification information and client identification information for identifying a client using the client device from the client device, and
Temporarily storing the received personal identification information in the memory unit, and
To generate personal identification information corresponding to the temporarily stored personal identification information based on at least the temporarily stored personal identification information.
Identifying the first personal history information associated with the generated personal identification information and the received client identification information among the plurality of personal history information stored in the database unit.
Customize content distribution for individuals identified by the temporarily stored personal identification information, at least based on the temporarily stored personal identification information and the identified first personal history information. That and
To perform the process for executing the customized content delivery to the specified individual, and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information and a plurality of cluster history information are stored in the database unit, and each of the plurality of personal history information is used as personal identification information. It is associated, and each of the plurality of cluster history information is associated with a plurality of personal identification information.
When the program is executed by the processor unit,
Receiving personal identification information and personal identification information from the client device,
Temporarily storing the received personal identification information in the memory unit, and
Identifying the personal history information associated with the received personal identification information among the plurality of personal history information stored in the database unit, and
Among the plurality of cluster history information stored in the database unit, identifying the cluster history information associated with the received personal identification information and the received client identification information, and
Customize content delivery for the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified cluster history information. That and
To execute the process for executing the customized content distribution and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of personal history information and a plurality of cluster history information are stored in the database unit, and each of the plurality of personal history information is used as personal identification information. It is associated, and each of the plurality of cluster history information is associated with a plurality of personal identification information.
When the program is executed by the processor unit,
Receiving personal identification information and client identification information for identifying a client using the client device from the client device, and
Temporarily storing the received personal identification information in the memory unit, and
To generate personal identification information corresponding to the temporarily stored personal identification information based on at least the temporarily stored personal identification information.
Identifying the cluster history information associated with the generated personal identification information among the plurality of cluster history information stored in the database unit, and
Customize content delivery for the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified cluster history information. That and
To execute the process for executing the customized content distribution and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of noisy cluster history information is stored in the database unit.
When the program is executed by the processor unit,
Receiving personal identification information and noise-containing personal identification information from the client device,
Temporarily storing the received personal identification information in the memory unit, and
Of the plurality of noisy cluster history information stored in the database unit, the noisy cluster history information associated with the received noisy personal identification information is specified.
Content for the noisy cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified noised cluster history information. Customizing the delivery and
To execute the process for executing the customized content distribution and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of cluster history information is stored in the database unit.
When the program is executed by the processor unit,
Receiving personal identification information from the client device
Temporarily storing the received personal identification information in the memory unit, and
Identifying the cluster history information associated with the received personal identification information among the plurality of cluster history information stored in the database unit, and
Customize content delivery for the cluster to which the individual identified by the temporarily stored personal identification information belongs, at least based on the temporarily stored personal identification information and the identified cluster history information. That and
To execute the process for executing the customized content distribution and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
The server device is connected to a database unit, and a plurality of models are stored in the database unit.
When the program is executed by the processor unit,
Receiving personal identification information and noise-containing personal identification information from the client device,
Temporarily storing the received personal identification information in the memory unit, and
Identifying the model associated with the received noise-added personal identification information among the plurality of models stored in the database unit, and
To customize content delivery for individuals identified by the temporarily stored personal identification information, at least based on the temporarily stored personal identification information and the identified model.
To execute the process for executing the customized content distribution and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.
A program that runs on a server device for customized content distribution.
The server device includes a processor unit and a memory unit.
The server device is configured to be able to communicate with the client device.
When the program is executed by the processor unit,
Receiving personal identification information, noise-containing personal identification information, and a personal model identified by the personal identification information from the client device.
Temporarily storing the received personal identification information in the memory unit, and
Customizing content delivery for the individual, at least based on the temporarily stored personal identification information and the received model.
To execute the process for executing the customized content distribution and
A program that causes the processor unit to at least delete the temporarily stored personal identification information from the memory unit.