JP7541549B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

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

In recent years, there have been information processing devices that store big data on user information in a database and provide data specified by the user. For example, a technology has been proposed for an information processing device that also provides an analysis template screen that allows analysis of data specified by the user (see, for example, Patent Document 1).

JP 2019-175236 A

However, conventional technology, for example, merely provides an analysis template tailored to the data, and there is room for improvement in providing an analysis template tailored to the user's analysis objectives.

The present invention has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can provide an appropriate analysis template according to the user's analysis purpose.

In order to solve the above-mentioned problems and achieve the objectives, the information processing device according to the present invention is characterized by having a storage unit that stores an analysis template used in data analysis of data to be analyzed, and a providing unit that provides the analysis template stored in the storage unit according to the user's purpose for analyzing the data.

According to the present invention, it is possible to provide an appropriate analysis template according to the user's analysis objectives.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a block diagram illustrating an example of the configuration of the information processing device according to the embodiment. FIG. 3 is a diagram illustrating an example of a template storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of an evaluation screen according to the embodiment. FIG. 5 is a flowchart illustrating an example of a processing procedure executed by the information processing apparatus according to the embodiment. FIG. 6 is a diagram illustrating an example of breakdown content according to the embodiment. FIG. 7 is a diagram illustrating an example of breakdown content according to the embodiment. FIG. 8 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device according to the embodiment.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments.

[Embodiment]
[1. Information Processing]
First, an example of information processing according to the embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of information processing according to the embodiment.
The information processing device 100 according to the embodiment shown in FIG. 1 is an information processing device that cooperates with each user's terminal device (not shown) and provides each user's terminal device with API (Application Programming Interface) services for various applications (hereinafter, apps), etc., and various data, and is realized by a server device, a cloud system, etc.

The information processing device 100 may also be an information processing device that provides some kind of web service online to each user's terminal device. For example, the information processing device 100 may provide services such as Internet connection, search services, SNS (Social Networking Service), electronic commerce, electronic payment, online games, online banking, online trading, accommodation and ticket reservations, and video and music distribution as web services. In practice, the information processing device 100 may cooperate with various servers that provide the above-mentioned web services and act as an intermediary for the web services.

The information processing device 100 can acquire user information about the user. For example, the information processing device 100 acquires information about the user's attributes, such as the user's gender, age, and residential area. The information processing device 100 then stores and manages the information about the user's attributes together with identification information (such as a user ID) that indicates the user.

The information processing device 100 also acquires various types of history information (log data) indicating the user's actions from the user's terminal device or from various servers based on the user ID, etc. For example, the information processing device 100 acquires a location history, which is a history of the user's location and date and time, from the terminal device. The information processing device 100 also acquires a search history, which is a history of search queries entered by the user, from a search server (search engine). The information processing device 100 also acquires a browsing history, which is a history of content viewed by the user, from a content server. The information processing device 100 also acquires a purchase history, which is a history of the user's product purchases and payment processing, from an e-commerce server or a payment processing server. The information processing device 100 may also acquire a listing history, which is a history of the user's listing on the marketplace, and a sales history, from an e-commerce server or a payment server.

For example, the information processing device 100 is a database that stores user information about users who use various Web services. For example, in each service (or department), when analyzing data using the information stored in the database, an engineer creates an analysis template (hereinafter, sometimes simply referred to as a template) that matches the purpose of the analysis, and the data analysis is performed using the analysis template.

The information processing device 100 has a template storage unit that stores templates created by each engineer, and is an information processing device that provides a system for sharing templates within a company. Note that sharing of templates is not limited to within a company, and templates may also be shared within a specified community.

Here, an analysis template is a template for analyzing data to be analyzed, and is information that defines the calculation method, graphs, and graph layout for analyzing the data to be analyzed. More specifically, it is information that defines various information such as the type of data to be analyzed, the analysis method, and the method of displaying the analysis results, such as what graph to use to analyze what data to be analyzed, how to layout the graphs, which items of the data to be analyzed to be graphed, and in the case of a line graph, which items to set on the vertical and horizontal axes.

For example, by sharing analysis templates within a company, one person can use the analysis template created by another person to analyze other data, which is expected to improve work efficiency.

On the other hand, there is an issue that it is difficult for people other than the creator or people with little knowledge of data analysis to understand what type of analysis each analysis template is suitable for. For example, it is not easy to manually search each template registered in the template storage unit according to one's own analytical purpose.

To address these issues, the information processing device 100 according to the embodiment provides analysis templates according to the user's analysis objectives. In the following, a person who uses the template sharing service will be referred to as a "user," and a person who uses the web service provided by the information processing device 100 will be referred to as a "user."

As shown in FIG. 1, an input screen G1 regarding the analysis purpose is displayed on the user terminal 50 of a user who wishes to provide a template. An input area A1 of the input screen G1 displays attribute items related to the user's attributes, such as the user's department and person in charge, and an analysis purpose item for inputting the user's purpose for analyzing data. The information entered in the attribute items is an example of user information related to the user.

The user can input the attribute items and analysis objective items displayed on the input screen G1, for example, by using a pull-down menu, and when input of the attribute items and analysis objective items is completed, objective information regarding the attribute items and analysis objective items is transmitted from the user terminal 50 to the information processing device 100.

When the information processing device 100 receives the target information (step S1), it selects a template from the analysis templates registered in the template storage unit based on the received target information (step S2).

For example, the information processing device 100 generates a model in advance that learns the relationship between each template and its analysis purpose, inputs the purpose information into the model, and selects a template based on the output value.

For example, the model here is a model that outputs a numerical value indicating whether each template registered in the template storage unit is suitable for the user's analysis purpose. For example, the information processing device 100 selects a template from the template storage unit whose numerical value exceeds a threshold value based on the output result of the model.

Then, the information processing device 100 provides template information related to the selected template to the user terminal 50 (step S3). The user terminal 50 updates the first display area A2 and the second display area A3 below the input area A1 of the input screen G1 with the template information received from the information processing device 100.

As shown in FIG. 1, the first display area A2 displays, as breakdown content, a pie chart that graphically displays the breakdown of templates that match the analysis objective based on the search tags assigned to the templates (here, the measures "email measures," "advertising measures," "data measures," and "CS (Customer Support) measures").

The pie chart showing the breakdown displayed in the first display area A2 is associated with information about each template, and displays the degree of matching of the templates included in the selection area C currently selected by the user.

Then, the second display area A3 displays a list of the templates included in the selection area C. For example, the second display area A3 displays information about each template, such as the name of the template, a description, and a link to download the template.

For example, a user can change selection area C by moving or enlarging or reducing selection area C, and the display contents of first display area A2 and second display area A3 are updated according to the changed selection area C. For example, when selection area C is moved to the email campaign area, the matching degree of the email campaign templates included in selection area C is displayed in first display area A2, and a list of email campaign templates is displayed in second display area A3.

In other words, the user can update the template displayed in the second display area A3 by moving the selection area C in the first display area A2. Then, when the user selects (clicks) a template displayed in the second display area A3, the corresponding template is provided from the information processing device 100 to the user terminal 50.

In this way, the information processing device 100 according to the embodiment provides an analysis template based on the user's analysis objective. As a result, the information processing device 100 according to the embodiment can provide an appropriate analysis template according to the user's analysis objective.

2. Example of the configuration of an information processing device
Next, a configuration example of the information processing device 100 according to the embodiment will be described with reference to Fig. 2. Fig. 2 is a block diagram showing a configuration example of the information processing device 100 according to the embodiment. As shown in Fig. 2, the information processing device 100 has a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a network interface card (NIC) etc. The communication unit 110 is also connected to a network in a wired or wireless manner.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 2 , the storage unit 120 has an analysis target data storage unit 121, a template storage unit 122, and a model storage unit 123.

(Analysis target data storage unit 121)
The analysis target data storage unit 121 stores analysis target data. The analysis target data storage unit 121 stores various information related to users who use web services. For example, the analysis target data storage unit 121 stores the usage history of the web service of each user, user information related to each user, and the like, linked to each user ID (identifier).

(Template storage unit 122)
The template storage unit 122 stores an analysis template. Fig. 3 is a diagram illustrating an example of the template storage unit 122 according to an embodiment. As illustrated in Fig. 3, the template storage unit 122 has items such as "template ID", "template information", "introduction comment", "provision history", and "evaluation information".

"Template ID" is an identifier for identifying each template. "Template information" is the configuration information for the corresponding template. For example, template information includes various information such as what kind of graph to use for analyzing what kind of data, how to arrange the graphs, which items of the data to be analyzed will be graphed, and in the case of a line graph, which items to set on the vertical and horizontal axes.

The "introduction comment" is an introduction comment for the corresponding template. For example, the introduction comment is registered by the creator of the template. Note that the introduction comment may include, for example, a search tag for searching the template.

"Provision history" is information about the provision history of the corresponding template, including information such as when and to whom the template was provided. "Evaluation information" is evaluation information about the template, and is information that links together information about the user who provided the template, information about the purpose of analysis, and information about the user's evaluation of the template.

(Model storage unit 123)
The model storage unit 123 will now be described. The model storage unit 123 stores a model. The model here is a model that calculates the degree of matching of each template registered in the template storage unit 122 with respect to the analysis objective of the user.

(Control unit 130)
The control unit 130 is a controller, and is realized by, for example, a central processing unit (CPU), a micro processing unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), etc., executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 100 using a storage area such as a RAM as a working area. In the example shown in FIG. 2, the control unit 130 has a receiving unit 131, a generating unit 132, a selecting unit 133, and a providing unit 134.

(Reception Unit 131)
The receiving unit 131 receives purpose information relating to the user's analysis purpose from the user terminal 50 via the communication unit 110. Upon receiving the purpose information, the receiving unit 131 passes it to the selection unit 133.

The reception unit 131 also receives a request to provide analysis target data from the user terminal 50 via the communication unit 110. When the reception unit 131 receives a request to provide data, it passes information about the request to the selection unit 133.

The reception unit 131 also receives template evaluation information from the user terminal 50 via the communication unit 110, and registers the evaluation information in the template storage unit 122 based on the received evaluation information.

Figure 4 is a diagram showing an example of an evaluation screen according to an embodiment. For example, an evaluation screen for the provided analysis template is displayed on the user terminal 50 of the user, as shown in Figure 4. In the example of Figure 4, the user can evaluate the provided analysis template using a five-point rating system, and the reception unit 131 receives evaluation information related to the five-point rating results from the user terminal 50. Note that the evaluation by the user is not limited to a five-point rating system, and the user may enter any comments, such as good points and areas for improvement.

(Generation unit 132)
The generation unit 132 generates a model that learns the relationship between the analytical template registered in the template storage unit 122 and the analysis purpose of the analytical template, and registers the model in the model storage unit 123.

For example, the generation unit 132 generates a model that has learned the relationship between the introductory comments of the analysis template and the analysis purpose, or further generates a model that takes into account evaluation information. That is, by using the introductory comments of the analysis template, the generation unit 132 can train the model using qualitative data, and by using the evaluation information, the generation unit 132 can train the model using quantitative data. That is, by training the model using the introductory comments and evaluation information, the generation unit 132 can train the model on two axes, qualitative and quantitative.

The generation unit 132 also uses the user's user information (e.g., department, person in charge, etc.) to train the model. In other words, the model is generated using information on whether the analysis template was suitable for the user as training data. This makes it possible to provide each user with an appropriate template.

The model may be of any type. For example, the generation unit 132 may use a support vector machine (SVM) or a deep neural network (DNN) as the model. Here, the DNN may be a convolutional neural network (CNN) or a recurrent neural network (RNN). The RNN may be a long short-term memory (LSTM) or the like. That is, the model may be of any type. The model may be realized by combining multiple models, such as a model that combines a CNN and an RNN.

The learning may be, for example, deep learning using a deep neural network (DNN). Data mining or other machine learning algorithms may also be used. The generation unit 132 learns the model using the various learning methods described above.

(Selection unit 133)
The selection unit 133 selects a template according to the analysis purpose from the template storage unit 122, based on the purpose information accepted by the acceptance unit 131. For example, the selection unit 133 inputs the user information (attributes) of the user and information on the analysis purpose, which are included in the purpose information, to a model stored in the model storage unit 123, and selects a template based on the output value (matching degree).

Based on the output result of the model, the selection unit 133 selects a template from the template storage unit 122 whose matching degree exceeds a threshold. In this case, for example, the template may be selected according to the user's proficiency in data analysis in addition to the attributes as user information of the user. In other words, templates used by users with a similar proficiency or templates that have been well-rated by users with a similar proficiency may be preferentially selected. Note that, for example, the proficiency may be set according to the number of times an analysis template has been created or the number of times an analysis template has been used. For example, a label such as for advanced users, for intermediate users, or for beginners may be assigned to each template in advance.

The selection unit 133 may also select a template based on, for example, the number of times each template has been provided. The selection unit 133 may also preferentially select a template that is used frequently.

(Providing Unit 134)
The providing unit 134 provides information about the template selected by the selecting unit 133 to the user terminal 50. For example, as shown in FIG. 1 , the providing unit 134 generates information for displaying a graph regarding the breakdown of the template and information for displaying a list of the templates, and provides the information to the user terminal 50.

The providing unit 134 also provides the user terminal 50 with information for displaying an evaluation screen for accepting evaluations by users, such as that shown in FIG. 4. The providing unit 134 also extracts analysis target data specified by the user from the analysis target data storage unit 121 and provides the data to the user terminal 50.

3. Processing flow
Next, a process procedure executed by the information processing device 100 according to the embodiment will be described with reference to Fig. 5. Fig. 5 is a flowchart showing an example of a process procedure executed by the information processing device 100 according to the embodiment.

As shown in FIG. 5, first, the information processing device 100 receives objective information from the user terminal 50 (step S101). Next, the information processing device 100 selects a template registered in the template storage unit 122 based on the objective information (step S102).

Next, the information processing device 100 provides template information related to the selected template to the user terminal 50 (step S103). Next, the information processing device 100 receives evaluation information for the template from the user terminal 50 at a predetermined timing (step S104).

Then, the information processing device 100 updates the model based on the received evaluation information (step S105). Then, the information processing device 100 ends the process.

4. Modifications
An example of the information processing has been described above. However, the embodiment is not limited to this. A part or all of the information processing may be realized by a function performed by the user terminal 50 side, or may be realized by a function performed by the information providing device 10 side.

The breakdown content displayed in the first display area A2 is not limited to the example shown in FIG. 1, and may be in other display forms. Therefore, an example of the breakdown content will be described below with reference to FIG. 6 and FIG. 7. FIG. 6 and FIG. 7 are diagrams showing an example of the breakdown content according to the embodiment.

In the example of Figure 6, the number of hits for templates corresponding to each measure is displayed as a pie chart. Also, for example, when a user selects a part of the pie chart, the matching degree corresponding to the selected area is displayed inside the pie chart.

In the example shown in FIG. 7, the breakdown content is a graph that visualizes the breakdown of templates for each measure, with the vertical axis representing the matching degree. For example, the height of the figure corresponding to each measure indicates the matching degree of the template, and its area indicates the number of template hits.

In this way, even with the breakdown content shown in Figures 6 and 7, users can easily understand the breakdown of templates for each measure.

5. Effects
The information processing device 100 according to the embodiment described above includes a template storage unit 122 that stores the analysis template used in the data analysis of the data to be analyzed, and a provision unit 134 that provides the analysis template stored in the template storage unit 122 in accordance with the user's purpose for analyzing the data.

The template storage unit 122 also stores an introductory text for the analysis template, and the provision unit 134 provides an analysis template according to the intended use based on the introductory text. The provision unit 134 also provides an analysis template according to the intended use based on user information about the user.

The template storage unit 122 also stores the user's evaluation results for the analysis template provided to the user, and the provision unit 134 provides a template according to the purpose of use based on the user's evaluation results.

The template storage unit 122 also stores information regarding the number of times an analysis template has been provided, and the provision unit 134 provides the analysis template based on the number of times it has been provided. The information processing device 100 also includes a generation unit 132 that generates a model that learns the relationship between the analysis template stored in the template storage unit 122 and the analysis purpose, and the provision unit 134 uses the model generated by the generation unit to provide a template according to the user's purpose for analyzing data.

By using any one or a combination of the above-mentioned processes, the information processing device according to the present application can provide an appropriate analysis template according to the user's analysis objectives.

6. Hardware Configuration
The information processing device 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in Fig. 8. Fig. 8 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device according to the embodiment. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, a HDD 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F) 1700.

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

HDD 1400 stores programs executed by CPU 1100 and data used by such programs. Communication interface 1500 receives data from other devices via network (communication network) N and sends it to CPU 1100, and transmits data generated by CPU 1100 to other devices via network N.

The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse (in FIG. 8, the output devices and input devices are collectively referred to as "input/output devices") via the input/output interface 1600. The CPU 1100 acquires data from the input devices via the input/output interface 1600. The CPU 1100 also outputs generated data to the output devices via the input/output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or 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.

For example, when the computer 1000 functions as the information processing device 100 according to the embodiment, the CPU 1100 of the computer 1000 executes programs loaded onto the RAM 1200 to realize the functions of the control unit 130. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, the CPU 1100 may obtain these programs from another device via the network N.

Although several embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the forms described in the disclosure section of the invention.

[7. Other]
Furthermore, among the processes described in the above embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

The above-described embodiments and variations can be combined as appropriate to the extent that they do not cause inconsistencies in the processing content.

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

REFERENCE SIGNS LIST 10 Information providing device 50 User terminal 100 Information processing device 110 Communication unit 120 Storage unit 121 Analysis target data storage unit 122 Template storage unit 123 Model storage unit 130 Control unit 131 Reception unit 132 Generation unit 133 Selection unit 134 Provision unit

Claims (6)

a storage unit that stores an analysis template used in the data analysis of the analysis target data;
a generation unit that generates a model that learns a relationship between the analysis template stored in the storage unit and a user's analysis objective;
a providing unit that provides the analysis template according to an analysis purpose of the user by using the model generated by the generating unit;
Equipped with
The generation unit is
generating said model using an introductory text of said analysis template;
An information processing device comprising: The generation unit is
generating the model using user information relating to the user;
The providing unit is
The information processing apparatus according to claim 1 , wherein the analysis template is provided based on the user information. The generation unit is
The information processing apparatus according to claim 1 , wherein the model is generated using an evaluation result of the analysis template by the user. The storage unit is
storing information regarding the number of times the analysis template has been provided to the user;
The providing unit is
The information processing apparatus according to claim 1 , further comprising: providing the analysis template based on the number of times the analysis template has been provided. 1. A computer-implemented information processing method, comprising:
a storage step of storing the analysis template used in the data analysis of the analysis target data;
a generation step of generating a model that learns a relationship between the analysis template stored in the storage step and a user's analysis objective;
a providing step of providing the analysis template according to an analysis purpose of the user by using the model generated by the generating step;
Including,
The generating step includes:
generating said model using an introductory text of said analysis template;
An information processing method comprising: a storage step of storing an analysis template used in the data analysis of the data to be analyzed;
a generation step of generating a model that learns a relationship between the analysis template stored in the storage step and a user's analysis objective;
a providing step of providing the analysis template according to an analysis purpose of the user by using the model generated by the generating step;
Run the following on your computer :
The generating procedure includes:
generating said model using an introductory text of said analysis template;
An information processing program characterized by:

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