JP2022178643A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To improve services while securing anonymity of personal information of user information collected by a prescribed business operator.SOLUTION: An information processing device comprises a generation unit, a provision unit, and an evaluation unit. The generation unit generates a plurality of models with different target identities on the basis of user information collected by a prescribed business operator. The provision unit provides an applicant with information on the models generated by the generation unit. The evaluation unit evaluates the identity on the basis of a score based on the user information collected by the applicant calculated using the models provided by the provision unit and conversion results of each user.SELECTED DRAWING: Figure 4

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, there is known a technique of generating statistical information based on user information collected by a predetermined business operator and providing the statistical information to a desired person.

JP 2020-154846 A

However, in the above-described conventional technology, there is room for further improvement in order to promote the improvement of services while ensuring the anonymity of personal information of users collected by predetermined business operators.

The present application has been made in view of the above, and aims to promote the improvement of services while ensuring the anonymity of personal information of users collected by predetermined business operators.

An information processing apparatus according to the present application includes a generating unit that generates a plurality of models with different target features based on user information collected by a predetermined business operator, and information about the models generated by the generating unit that is sent to a desired person. and a score based on the user information collected by the desired person calculated using the model provided by the providing unit, and an evaluation unit that evaluates the features based on the conversion results of each user and.

According to one aspect of the embodiment, it is possible to improve the service while ensuring the anonymity of the personal information of the user collected by the predetermined business operator.

FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment. FIG. 2 is a diagram illustrating an example of information processing according to the embodiment; FIG. 3 is a diagram showing a configuration example of the applicant server according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; 5 is a diagram illustrating an example of a user information storage unit according to the embodiment; FIG. FIG. 6 is a diagram illustrating an example of a feature evaluation result storage unit according to the embodiment; FIG. 7 is a diagram illustrating a configuration example of a predetermined business operator server according to the embodiment. FIG. 8 is a flowchart illustrating an example of information processing according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus.

Embodiments for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

(embodiment)
[1. Configuration of information processing system]
An information processing system 1 shown in FIG. 1 will be described. As shown in FIG. 1 , the information processing system 1 includes a applicant server 10 , an information processing device 100 , and a predetermined business operator server 200 . The applicant server 10, the information processing device 100, and the predetermined business operator server 200 are communicably connected by wire or wirelessly via a predetermined communication network (network N). FIG. 1 is a diagram showing a configuration example of an information processing system 1 according to an embodiment. The information processing system 1 shown in FIG. 1 may include a plurality of applicant servers 10 , a plurality of information processing apparatuses 100 , and a plurality of predetermined business operator servers 200 .

The wanter server 10 is an information processing device for providing user information collected by a wanter (for example, a business operator) who desires information from a predetermined business operator, and is realized by, for example, a server device, a cloud system, or the like. be. Specifically, the applicant server 10 is an information processing apparatus on the applicant's side to which information is provided from the predetermined business operator, and receives information from the predetermined business operator and obtains information held by itself, Utilize the information provided. For example, the applicant server 10 is a server operated by a client company that provides a predetermined service and has data on users of the predetermined service. The wisher's server 10 holds information such as browsing history of each user on a website related to a predetermined company as data regarding users of the predetermined service. In addition, it is assumed that the applicant requests information on a model for calculating scores for all attributes associated with each user in the user information held by the applicant server 10 from the predetermined business operator. In FIG. 2, the applicant server 10 is assumed to be managed by the business operator U11.

The information processing device 100 is an information processing device for providing information regarding a model for calculating scores for all attributes associated with each user, and is realized by, for example, a server device, a cloud system, or the like. The information processing apparatus 100 is an information processing apparatus on the side of a predetermined business operator that provides information to the side of the requester. The information processing apparatus 100 generates a plurality of models having different target features (feature amounts) based on user information collected by a predetermined business operator, and provides them to the desired person. has a function to calculate a score based on the data collected by

The prescribed business operator server 200 is an information processing device for providing user information collected by the prescribed business operator, and is implemented by, for example, a server device, a cloud system, or the like. The prescribed business operator server 200 is an information processing device on the side of the prescribed business operator that provides information to the desired party. For example, the predetermined business server 200 is operated by a business that provides large-scale services (or various services) such as a line connection business (provider) or a portal site management company, and is used to collect big data about a huge number of users. is a server with

Although FIG. 1 shows a case where the information processing device 100 and the predetermined business operator server 200 are separate devices, the information processing device 100 and the predetermined business operator server 200 may be integrated.

Here, a predetermined service (hereinafter referred to as “first service” as appropriate) operated by the applicant side of the applicant server 10 and a predetermined service operated by the predetermined operator side of the information processing apparatus 100 and the predetermined operator server 200 Unlike the service (hereinafter referred to as "second service" as appropriate), the predetermined business operator provides a service different from the first service. Also, the information about users of the first service and the second service is, for example, information about various user histories such as searching, shopping, and settlement. It should be noted that the history of the user of the second service includes more types of information and more information about users than the history of the user of the first service.

[2. Example of information processing]
In the following embodiment, for convenience of explanation, as an example of a model provided by the information processing apparatus 100, a model targeting users who are likely to purchase a refrigerator will be described as an example, but the present invention is not limited to this example. shall be For example, it may be a model targeting users who are likely to sell their cars or wealthy users. Further, in the following embodiment, an attribute based on demographic information will be described as an example of an attribute associated with each user, but the attribute is not limited to this example. For example, it may be an attribute based on position information or search information.

FIG. 2 is a diagram showing an example of information processing of the information processing system 1 according to the embodiment. The information processing device 100 acquires information about the model desired by the business operator U11 (step S101). For example, the information processing device 100 acquires information about the model specified by the business operator U11. For example, when the business operator U11 wants to target users who are likely to purchase refrigerators, the information processing apparatus 100 acquires information indicating that users who are likely to purchase refrigerators are targeted. The information processing apparatus 100 acquires, for example, information on the purpose for which the operator U11 desires the model and information on the name of the model as information on the model.

The information processing apparatus 100 acquires information about attributes used for model generation. For example, the information processing device 100 acquires information about attributes specified by the business operator U11. For example, when the business operator U11 designates demographic information as an attribute, the information processing device 100 acquires the demographic information. It is assumed that the demographic information includes, for example, information indicating multiple types of attributes such as age and gender. The information processing apparatus 100 acquires demographic information based on the age and gender when the business operator U11 designates the age and gender. Then, the information processing apparatus 100 executes one-hot encoding for each of the plurality of types of attributes based on whether each of them satisfies a predetermined condition. As a result, the information processing apparatus 100 can perform one-hot encoding for each user with a designated attribute, so that it is possible to appropriately target users.

Based on the acquired information, the information processing apparatus 100 generates a model whose feature is the specified attribute and which targets users who are likely to purchase a refrigerator (step S102). Here, the information processing device 100 generates a model based on the user information transmitted from the predetermined business operator server 200 . Specifically, the information processing apparatus 100 purchases the refrigerator specified based on the information regarding the model desired by the business operator U11 among the user information collected by the predetermined business operator managing the predetermined business operator server 200. Generate a model based on the user information of the likely users. Also, the information processing apparatus 100 generates different models based on the designated attributes. For example, when the business operator U11 designates demographic information and location information, the information processing apparatus 100 generates a model whose features are the demographic information and the location information. The score calculated based on the data of the predetermined business operator using the generated model is the target encoding score.

Here, the information processing apparatus 100 may generate a plurality of different models for each combination of attributes, for example, when three or more attributes are specified by the provider U11. For example, it is assumed that features 1 to 3 are specified by the business operator U11. In this case, the information processing apparatus 100 may generate a model based on the features 1 and 2 and a model based on the features 2 and 3.

The information processing apparatus 100 transmits information on the generated model to the applicant server 10 (step S103). Then, the applicant server 10 calculates the score of each user using each generated model (step S11). Specifically, the applicant server 10 calculates the score of each user by inputting information into each model based on the information provided from the applicant server. For example, the generated models are models A and B, and an example of calculating scores for users A to C is "user A: model A score 0.8, model B score 0.6", " User B: Model A score 0.7, Model B score 0.5", and "User C: Model A score 0.8, Model B score 0.9". The desirer server 10 also determines the conversion result of each user (step S12). For example, it is determined whether or not users A to C have converted. Here, since the model targets users who are likely to purchase refrigerators, it is determined whether or not users A to C have purchased refrigerators. In this way, the information processing apparatus 100 determines a conversion result for user information related to a predetermined action or state, such as whether the user purchased a refrigerator, gave up the car, or was a wealthy user. . Note that the determination may be made, for example, based on whether the purchase was made within a predetermined period.

The information processing apparatus 100 acquires information about the score of each user and information about the conversion result (step S104). For example, the information processing apparatus 100 outputs "user A: with conversion, model A score of 0.8, model B score of 0.6", "user B: with conversion, model A score of 0.7, model B score of 0.5". ', 'User C: no conversion, model A score 0.8, model B score 0.9'.

The information processing apparatus 100 performs a feature evaluation process based on the relationship between the conversion result and the score (step S105). For example, if the conversion result when using a model based on features 1 and 2 is conversion, and the conversion result when using a model based on features 2 and 3 is no conversion, then feature 2 Since it is common to the models, a process of evaluating the feature 1 high and evaluating the feature 3 low may be performed. For example, feature 3 may be evaluated as noise. Then, the information processing apparatus 100 transmits information on the evaluation result of the background to the applicant server 10 (step S106). Note that the information processing apparatus 100, for example, performs a process of evaluating the features based on the conversion results of users whose scores satisfy a predetermined top percentage (for example, the top 10% or 20%) or users whose scores are close to the average value. may

In the above-described embodiment, the result of the evaluation of the background based on the data of the operator U11 may be applied to the evaluation of the background of the operator G12, which is of the same type as the operator U11. In this case, the information processing apparatus 100 determines whether or not the business type of the business operator G12 is the same as that of the business operator U11. may be provided to the business operator G12 as an evaluation result of the background of the business operator G12. Further, the information processing apparatus 100 may reflect the evaluation result of the features based on the data of the business operator U11 in the model generated based on the information specified by the business operator G12. For example, a model may be generated by changing the weight for each feature based on the feature evaluation result. Then, the information processing apparatus 100 reflects the evaluation result of the background of the operator G12 based on the model generated by reflecting the evaluation result of the background based on the data of the operator U11 in the model for the operator U11. good too. Thereby, the information processing apparatus 100 can promote improvement in accuracy. In addition, the information processing apparatus 100 may generate a model for evaluating features by complementing data possessed by other applicants of the same type. In addition, the information processing apparatus 100 may cause the model to learn the relationship between the type of business and background of the desired person. For example, the information processing apparatus 100 may learn feature amounts such as capital of the same type or the same degree, and identify which feature has a higher weight in terms of the similarity of the desired person.

In addition, in the above-described embodiment, a model may be generated in consideration of manual evaluation by the business operator U11 for the background. For example, the business operator U11 may select two options, good or bad, for each feature to generate a model that takes into account the manual evaluation of goodness or badness by the business operator U11. For example, when the operator U11 evaluates the feature 1 as "good" and the feature 3 as "bad", the information processing apparatus 100 increases the weight of the feature 1 and decreases the weight of the feature 3. model may be generated. As a result, the information processing apparatus 100 can promote service improvement in line with the business operator's purpose. Also, the business operator U11 may set or change a specific score. In this case, the information processing device 100 may evaluate the background based on the score set or changed by the business operator U11.

Note that in the above embodiment, a combination of features may be evaluated. For example, if the conversion result when using a model based on features 1 and 2 is conversion, and the conversion result when using a model based on features 2 and 3 is no conversion, the information processing device 100 , the combination of features 1 and 2 may be rated high, and the combination of features 2 and 3 may be rated low.

[3. Configuration of Applicant Server]
Next, the configuration of the applicant server 10 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the applicant server 10 according to the embodiment. As shown in FIG. 3 , the applicant server 10 has a communication section 11 , a storage section 12 and a control section 14 . Note that the predetermined business operator server 200 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the predetermined business operator server 200, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. may have

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

(storage unit 12)
The storage unit 12 is realized by, for example, a semiconductor memory device such as a RAM or flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 12 stores user information collected by the desired person.

(control unit 14)
The control unit 14 is a controller, and is implemented, for example, by executing various programs stored in a storage device inside the applicant server 10 using a RAM as a work area by means of a CPU, MPU, or the like. Also, the control unit 14 is a controller, and is realized by an integrated circuit such as ASIC or FPGA, for example.

As shown in FIG. 3, the control unit 14 has an acquisition unit 141 and a provision unit 142, and implements or executes the information processing operation described below. Note that the internal configuration of the control unit 13 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it performs information processing described later.

(Acquisition unit 141)
The acquisition unit 141 acquires user information collected by the desired person. The acquisition unit 141 also acquires information transmitted from the information processing apparatus 100 .

(Providing unit 142)
The providing unit 142 transmits information about the score based on the information input by the desiring party and information about the conversion result of each user.

[4. Configuration of Information Processing Device]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described using FIG. FIG. 4 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 4, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section . The information processing apparatus 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the information processing apparatus 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. You may

(Communication unit 110)
The communication unit 110 is implemented by, for example, a NIC. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the applicant server 10 and the like via the network N.

(storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM or flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 4 , the storage unit 120 has a user information storage unit 121 and a background evaluation result storage unit 122 .

The user information storage unit 121 stores user information collected by a predetermined business operator. Here, FIG. 5 shows an example of the user information storage unit 121 according to the embodiment. As shown in FIG. 5, the user information storage unit 121 has items such as "user ID" and "user information".

"User ID" indicates identification information for identifying a user. "User information" indicates user information. In the example shown in FIG. 5, conceptual information such as "user information #11" and "user information #12" is stored in "user information", but in reality, "sex: male, age Specific information such as demographic information such as "Fridge: 30s" and search information such as "Refrigerator searches: 5 times" are stored.

That is, FIG. 5 shows an example in which the user information of the user identified by the user ID "A11" is "user information #11".

The feature evaluation result storage unit 122 stores information about the feature evaluation result. Here, FIG. 6 shows an example of the feature evaluation result storage unit 122 according to the embodiment. As shown in FIG. 6, the feature evaluation result storage unit 122 has items such as "evaluation result ID", "evaluation information", and "evaluation result".

“Evaluation result ID” indicates identification information for identifying the evaluation result. “Evaluation information” indicates evaluation information used for feature evaluation. For example, information on scores and information on conversion results of each user. In the example shown in FIG. 6, an example is shown in which conceptual information such as "evaluation information #11" and "evaluation information #12" is stored in "evaluation information". , model A score 0.8, model B score 0.6; user B: with conversion, model A score 0.7, model B score 0.5; user C: no conversion, model A score 0.8, model B Concrete information such as "score 0.9" is stored. "Evaluation result" indicates the evaluation result. In the example shown in FIG. 6, conceptual information such as "evaluation result #11" and "evaluation result #12" is stored in "evaluation result". ; feature 3: low evaluation” is stored.

That is, FIG. 6 shows an example in which the evaluation information used for the evaluation result identified by the evaluation result ID "HK11" is "evaluation information #11" and the evaluation result is "evaluation result #11".

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

As shown in FIG. 4, the control unit 130 has an acquisition unit 131, a generation unit 132, a provision unit 133, a specification unit 134, and an evaluation unit 135, and implements the information processing operation described below. or run. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it performs information processing to be described later.

(Acquisition unit 131)
Acquisition unit 131 acquires various types of information. Acquisition unit 131 acquires various types of information from an external information processing device. The acquisition unit 131 acquires various types of information from other information processing devices such as the applicant server 10 .

Acquisition unit 131 acquires various types of information from storage unit 120 . The acquisition unit 131 acquires various types of information from the user information storage unit 121 and the background evaluation result storage unit 122 . The acquisition unit 131 also stores the acquired various information in the storage unit 120 . The acquisition unit 131 stores various types of information in the user information storage unit 121 and the background evaluation result storage unit 122 .

Acquisition unit 131 acquires information about a model desired by a person who desires it. For example, the acquisition unit 131 acquires information about the model specified based on the information received by the requester. For example, when the acquisition unit 131 receives information indicating that the user who is likely to purchase a refrigerator is to be targeted, the acquiring unit 131 acquires information about a model for targeting users who are likely to purchase a refrigerator. do. In addition, the acquisition unit 131 acquires user information collected by a predetermined business operator specified based on information about a model desired by a desired person.

Acquisition unit 131 acquires information about the attribute specified by the desired person. For example, the acquiring unit 131 acquires the demographic information when receiving a designation of demographic information as an attribute. For example, the acquisition unit 131 acquires demographic information provided from the predetermined business operator server 200 .

(Generating unit 132)
The generation unit 132 generates a plurality of models with different target features. For example, the generation unit 132 generates a model whose features are the attributes specified by the applicant. For example, when the generation unit 132 receives information indicating that it wants to target users who are likely to purchase a refrigerator, it generates a model for targeting users who are likely to purchase a refrigerator. For example, the generation unit 132 generates a model based on user information of a user who is likely to purchase a refrigerator, identified based on information provided from the predetermined business operator server 200 .

(Providing unit 133)
The providing unit 133 transmits information regarding the model generated by the generating unit 132 . In addition, the providing unit 133 transmits information about evaluation results by the evaluation unit 135, which will be described later.

(Specifying unit 134)
The identifying unit 134 acquires information on the score calculated by the applicant using the model provided by the providing unit 133 and information on the conversion result of each user based on the user information on the applicant's side. identify relationships.

(Evaluation unit 135)
The evaluation unit 135 performs processing for evaluating features based on the relationships identified by the identification unit 134 . For example, the evaluation unit 135, if the conversion result when using the model based on features 1 and 2 is conversion, and the conversion result when using the model based on features 2 and 3 is no conversion, A process of evaluating the feature 1 highly and evaluating the feature 3 low is performed. In this case, the evaluation unit 135 increases the weight of feature 1 and decreases the weight of feature 3 .

[5. Configuration of predetermined business operator server]
Next, the configuration of the predetermined business operator server 200 according to the embodiment will be described using FIG. FIG. 7 is a diagram showing a configuration example of the predetermined business operator server 200 according to the embodiment. As shown in FIG. 7 , the predetermined business operator server 200 has a communication section 210 , a storage section 220 and a control section 230 . Note that the predetermined business operator server 200 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the predetermined business operator server 200, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. may have

(Communication unit 210)
The communication unit 210 is implemented by, for example, a NIC. The communication unit 210 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the information processing apparatus 100 and the like via the network N.

(storage unit 220)
The storage unit 220 is realized by, for example, a semiconductor memory device such as a RAM or flash memory, or a storage device such as a hard disk or an optical disk.

Storage unit 220 stores the same information as user information storage unit 121 . Therefore, the description is omitted.

(control unit 230)
The control unit 230 is a controller, and is realized by, for example, executing various programs stored in a storage device inside the predetermined business operator server 200 using a RAM as a work area by a CPU, MPU, or the like. Also, the control unit 230 is a controller, and is implemented by an integrated circuit such as an ASIC or FPGA, for example.

As shown in FIG. 7, the control unit 230 has an acquisition unit 231 and a provision unit 232, and implements or executes the information processing operation described below. Note that the internal configuration of the control unit 230 is not limited to the configuration shown in FIG. 7, and may be another configuration as long as it performs information processing described later.

(Acquisition unit 231)
The acquisition unit 231 acquires user information collected by a predetermined business operator.

(Providing unit 232)
The providing unit 232 transmits the user information acquired by the acquiring unit 231 .

[6. Information processing flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 8 is a flow chart showing the procedure of information processing by the information processing system 1 according to the embodiment.

As shown in FIG. 8, the information processing apparatus 100 acquires information about a model desired by a requester (step S201).

The information processing apparatus 100 generates a plurality of models with different target features based on the user information collected by the predetermined business operator (step S202).

The information processing apparatus 100 provides the desired person with information on the generated model (step S203).

The information processing apparatus 100 acquires information about the score calculated based on the information received by the desired person and information about the conversion result of each user (step S204).

The information processing apparatus 100 performs a feature evaluation process based on the relationship between the acquired score information and conversion information (step S205).

The information processing apparatus 100 provides the desired person with information on the evaluation result of the background (step S206).

[7. effect〕
As described above, the information processing apparatus 100 according to the embodiment has the generating unit 132, the providing unit 133, and the evaluating unit 135. The generation unit 132 generates a plurality of models with different target features based on the user information collected by the predetermined business operator. The providing unit 133 provides information on the model generated by the generating unit 132 to the desired person. The evaluation unit 135 evaluates the background based on the score based on the user information collected by the desired person calculated using the model provided by the provision unit 133 and the conversion result of each user.

As a result, the information processing apparatus 100 according to the embodiment can calculate the score on the side of the requester without providing the data on the side of the predetermined business operator, thereby improving the service while ensuring the anonymity of personal information. can be promoted.

In addition, the generation unit 132 generates a model whose features are the attributes specified by the applicant.

As a result, the information processing apparatus 100 according to the embodiment can perform detailed targeting, thereby promoting further service improvement.

In addition, the generation unit 132 generates a model based on the user information of the user specified based on the information on the model desired by the desiring person.

As a result, the information processing apparatus 100 according to the embodiment can perform detailed targeting, thereby promoting further service improvement.

In addition, the generation unit 132 generates a model that reflects the evaluation result of the features based on the user information collected by the other desired person different from the desired person.

As a result, the information processing apparatus 100 according to the embodiment can improve the accuracy of targeting, thereby further improving the service.

The generation unit 132 also evaluates the features based on the conversion results of each user for the user information targeted by the model.

As a result, the information processing apparatus 100 according to the embodiment can promote further service improvement in line with the desired person.

[8. Hardware configuration]
Further, the applicant server 10, the information processing apparatus 100, and the predetermined business operator server 200 according to the above-described embodiments are implemented by, for example, a computer 1000 configured as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the applicant server 10, the information processing device 100, and the predetermined business operator server 200. As shown in FIG. Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

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

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

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the applicant server 10, the information processing device 100, and the predetermined business operator server 200 according to the embodiment, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200 to control the control unit 14, 130 and 230 functions. CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via a predetermined communication network.

[9. others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Further, the embodiments described above can be appropriately combined within a range that does not contradict the processing contents.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

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

1 information processing system 10 applicant server 11 communication unit 12 storage unit 14 control unit 141 acquisition unit 142 provision unit 100 information processing device 110 communication unit 120 storage unit 121 user information storage unit 122 background evaluation result storage unit 130 control unit 131 acquisition unit 132 generation unit 133 provision unit 134 identification unit 135 evaluation unit 200 predetermined provider server 210 communication unit 220 storage unit 230 control unit 231 acquisition unit 232 provision unit N network

Claims (7)

a generation unit that generates a plurality of models with different target features based on user information collected by a predetermined business operator;
a providing unit for providing a desired person with information about the model generated by the generating unit;
an evaluation unit that evaluates the features based on the score based on the user information collected by the desired person calculated using the model provided by the provision unit and the conversion result of each user;
An information processing device comprising: The generating unit
2. The information processing apparatus according to claim 1, wherein a model is generated in which the attribute specified by the desired person is the object of the feature. The generating unit
The information processing apparatus according to claim 1 or 2, wherein the model is generated based on the user information of the user specified based on the information on the model desired by the desired person. The generating unit
4. The information processing apparatus according to any one of claims 1 to 3, wherein a model is generated in which a feature evaluation result based on user information collected by another desired person different from said desired person is reflected. . The generating unit
5. The information processing apparatus according to any one of claims 1 to 4, wherein said feature is evaluated based on a conversion result of said each user with respect to user information targeted by said model. A computer-executed information processing method comprising:
a generation step of generating a plurality of models with different target features based on user information collected by a predetermined business operator;
a providing step of providing information about the model generated by the generating step to a desired person;
an evaluation step of evaluating the features based on a score based on the user information collected by the desired person calculated using the model provided in the provision step and a conversion result of each user;
An information processing method comprising: a generation procedure for generating a plurality of models with different target features based on user information collected by a predetermined business operator;
a providing step for providing a desired person with information about the model generated by the generating step;
an evaluation procedure for evaluating the features based on the score based on the user information collected by the desired person calculated using the model provided by the provision procedure and the conversion result of each user;
An information processing program characterized by causing a computer to execute

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