WO2022024382A1

WO2022024382A1 - Display control device, display control method, and recording medium

Info

Publication number: WO2022024382A1
Application number: PCT/JP2020/029554
Authority: WO
Inventors: 翔平丸山
Original assignee: 日本電気株式会社
Priority date: 2020-07-31
Filing date: 2020-07-31
Publication date: 2022-02-03

Abstract

Provided is a display control device, wherein a generation means generates analysis information about behavior patterns of a plurality of users and of a subject user, on the basis of the behavior history of the plurality of users, and generates proposal information for the subject user on the basis of the analysis information. The proposal information includes: the current behavior pattern of the subject user; information of interest corresponding to the current behavior pattern; a target behavior pattern of the subject user; and information of interest corresponding to the target behavior pattern. The display control means controls a display device so as to display the analysis information and the proposal information.

Description

Display control device, display control method, and recording medium

The present invention relates to a method of analyzing a user's behavior pattern and providing information for the user to change the behavior.

A tool has been proposed that analyzes the user's behavior history and promotes improvements such as results and results caused by the behavior. For example, Patent Document 1 describes a simulation tool in which a user inputs a command regarding management in a state where business environment information is given, and the user's ability as a manager is diagnosed. Further, Patent Document 2 describes a method of determining a user's transaction style based on the user's past financial transaction history and presenting an optimum improvement route from the current transaction style to the transaction style desired by the user as a roadmap. is doing.

Japanese Unexamined Patent Publication No. 2018-194748 International Publication WO2019 / 087552

Patent Document 1 can diagnose a user's ability as a manager and present a result, but does not describe a specific method for making a proposal for improvement based on the result. On the other hand, Patent Document 2 promotes improvement of the feature value of the transaction style that the user wants to aim at, but does not describe the use of the feature value different from the current transaction style feature value.

One object of the present invention is to provide a report display device capable of proposing a change in a behavior pattern by specifically presenting information that the user should pay attention to in order to shift to a target behavior pattern. It is in.

From one aspect of the present invention, the display control device is
A generation means for generating analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and generating proposal information to the target user based on the analysis information.
A display control means for controlling the display device to display the analysis information and the proposal information, and
Equipped with
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. ..

In another aspect of the present invention, the display control method generates analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and the target user is notified based on the analysis information. Generate proposal information for
Control the display device to display the analysis information and the proposal information,
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. ..

In still another aspect of the invention, the recording medium is:
Based on the history of the behaviors of the plurality of users, the analysis information of the behavior patterns of the plurality of users and the target user is generated, and the proposal information to the target user is generated based on the analysis information.
It is a process of controlling the display device to display the analysis information and the proposal information.
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Record the program that causes the computer to perform the process.

According to the present invention, it is possible to provide a report display device capable of proposing a behavior pattern change by specifically presenting information that the user should pay attention to in order to shift to a target behavior pattern. Become.

The overall configuration of the investment style estimation device according to the first embodiment is shown. It is a block diagram which shows the hardware composition of the investment style estimation apparatus. It is a block diagram which shows the functional structure of the investment style estimation apparatus. It is a figure explaining the method of estimating the degree of attention to each investment-related index. Here is an example of identifying multiple investment styles. An example of investment-related indicators that are focused on in each investment style is shown. It is a flowchart of investment style estimation processing by 1st Embodiment. It is a block diagram which shows the functional structure of the investment style report display device which concerns on 2nd Embodiment. The first display example of the investment style report is shown. It is a flowchart of the report display process using the 1st display example. A second display example of the investment style report is shown. It is a flowchart of the report display process using the 2nd display example. It is a block diagram which shows the functional structure of the information processing apparatus which concerns on 3rd Embodiment. It is a flowchart of the process by the information processing apparatus of 3rd Embodiment.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
<First Embodiment>
[overall structure]
FIG. 1 shows the overall configuration of the investment style estimation device according to the first embodiment. The investment style estimation device 100 is connected to a transaction history database (hereinafter, “database” is referred to as “DB”) 2 and an investment-related index DB3. The transaction history DB2 stores transaction histories such as past stock trading by a plurality of investors. The investment-related index DB3 stores various investment-related indexes referred to by the investor at the time of transaction. The investment-related index is an example of investment-related information.

The investment style estimation device 100 uses the transaction history of a plurality of investors acquired from the transaction history DB2 and the investment-related index at the time of transaction acquired from the investment-related index DB3 to obtain a plurality of transaction histories of a plurality of investors. Classify into investment styles and specify each investment style. Specifically, the investment style estimation device 100 classifies each transaction into several investment styles based on the investment-related indicators considered by a plurality of investors at the time of the transaction. Further, the investment style estimation device 100 determines which investment style each transaction of the target investor is based on the transaction history of the investor (hereinafter referred to as “target investor”) for which the investment style is estimated. Analyze whether it belongs and estimate the investment style of the target investor.

The "investment style" in this disclosure indicates the type of investor classified according to the information that the investor pays attention to. For example, the investor style includes a style (also referred to as “type”) that focuses on the performance (stock price, sales, operating profit, etc.) of the investment target company.

[Hardware configuration]
FIG. 2 is a block diagram showing a hardware configuration of the investment style estimation device 100. As shown in the figure, the investment style estimation device 100 includes an interface (hereinafter referred to as “IF”) 11, a processor 12, a memory 13, a recording medium 14, a database (DB) 15, and an input unit 16. , And a display device 17.

IF11 inputs and outputs data to and from an external device. Specifically, the data stored in the transaction history DB 2 and the investment-related index DB 3 are input to the investment style estimation device 100 via the IF 11.

The processor 12 is a computer such as a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit), and controls the entire investment style estimation device 100 by executing a program prepared in advance. Specifically, the processor 12 executes the investment style estimation process described later.

The memory 13 is composed of a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. The memory 13 is also used as a working memory during execution of various processes by the processor 12.

The recording medium 14 is a non-volatile, non-temporary recording medium such as a disk-shaped recording medium or a semiconductor memory, and is configured to be removable from the investment style estimation device 100. The recording medium 14 records various programs executed by the processor 12. When the investment style estimation device 100 executes various processes, the program recorded in the recording medium 14 is loaded into the memory 13 and executed by the processor 12.

Database 15 temporarily stores the data input through IF11. Further, the database 15 stores parameters such as a neural network constituting the first estimation unit described later in the investment style estimation device 100. The input unit 16 is a keyboard, a mouse, or the like for the operator to give an instruction or input. The display device 17 is a liquid crystal display or the like, and displays an investment style estimation result or the like as needed.

[Functional configuration]
FIG. 3 is a block diagram showing a functional configuration of the investment style estimation device 100. As shown in the figure, the investment style estimation device 100 includes an acquisition unit 21, a first estimation unit 22, a specific unit 23, and a second estimation unit 24.

The acquisition unit 21 acquires the transaction history of a plurality of investors from the transaction history DB2. Further, the acquisition unit 21 acquires the investment-related index at the time of transaction of a plurality of investors from the investment-related index DB3. The acquisition unit 21 outputs the acquired transaction history and investment-related index to the first estimation unit 22.

The first estimation unit 22 estimates the degree of attention of the investor to the investment-related index in each transaction based on the input transaction history and investment-related index. The “degree of attention” is a value indicating the degree to which the investor who made the transaction pays attention to each investment-related index in a certain transaction. Specifically, the first estimation unit 22 estimates the degree of attention to each investment-related index by using an attention mechanism using machine learning or a neural network. The attention mechanism is a method of estimating an index that a decision maker may have paid attention to when making a decision.

FIG. 4 is a diagram illustrating a method of estimating the degree of attention to each investment-related index. As shown in the figure, a transaction history and an investment-related index are input to the first estimation unit 22. In the example of FIG. 4, the transaction history includes the date of each transaction, the investor ID that identifies the investor who made the transaction, the stock ID of the traded stock, and the like.

In addition, investment-related indicators include the date of each transaction, the brand ID of the traded stock, the market ID indicating the market where the transaction was conducted, the industry ID indicating the industry of the traded stock, and the settlement of accounts for the company of the traded stock. Includes information and more. The settlement information includes information on whether the settlement of accounts of the company is a consolidated settlement or a non-consolidated settlement, assets, net assets and capital of the company. The transaction history and investment-related indicators shown in FIG. 4 are examples, and are not limited thereto.

In the first estimation unit 22, the investor who made the transaction pays attention to each investment-related index for each transaction included in the input transaction history by using the attention mechanism using machine learning or the neural network. Estimate the degree of attention that indicates the degree of attention. Specifically, as shown in FIG. 4, the first estimation unit 22 outputs a numerical value of the degree of attention for each investment-related index. In the example of FIG. 4, the first estimation unit 22 calculates the degree of attention to the market ID, the industry ID, and the individual information belonging to the settlement information. The higher the degree of attention, the more the investor paid attention to the investment-related index. Then, the first estimation unit 22 outputs the degree of attention of all the indexes to the specific unit 23.

The identification unit 23 specifies a plurality of investment styles based on investment-related indicators that a plurality of investors have focused on at the time of transaction. Specifically, the specific unit 23 clusters transactions based on the degree of attention of all indicators input from the first estimation unit 22. In the example shown in FIG. 4, the specific unit 23 has the same cluster of transactions in which the attention levels of the four indicators included in the “market ID”, “industry ID”, and “financial information” are close to each other. Cluster transactions to belong to. As a result, clustering is performed based on the degree of attention of all indicators, but in reality, the similarity of the indicators with high attention becomes dominant, and as a result, "combinations of investment-related indicators with high attention are similar. Transactions are grouped into the same cluster. "

The specific unit 23 performs clustering a predetermined number of times while changing the number of clusters by using, for example, the K-means method, and the most applicable result is the clustering result. The K-means method is an example, and the specific unit 23 may use another clustering method. By clustering, transactions with similar combinations of investment-related indicators that are of high interest are classified into the same cluster. In other words, if some investment-related indicators that are highly focused by investors in one transaction A and some related indicators that are highly focused by investors in another transaction B are similar, then that transaction A And B are more likely to be classified in the same cluster. Then, the specifying unit 23 specifies the investment style for each of the obtained plurality of clusters. As a result, multiple transactions focused on similar investment-related indicators are classified into the same cluster and constitute the same investment style.

Figure 5 shows an example of identifying multiple investment styles. The specific unit 23 performs clustering based on the degree of attention in a plurality of transactions so that transactions with similar investment-related indicators of interest are located near each other and transactions with dissimilar investment-related indicators of interest are located far away. Map multiple transactions to a space in the dimension of the number of investment-related indicators. Note that FIG. 5 shows an example in which a plurality of transactions are mapped in a two-dimensional space for the sake of visual comprehension. Each point (“x”) in FIG. 5 indicates one transaction. Further, in the two-dimensional space of FIG. 5, the investment-related index focused by the investor is similar at the point where the distance is short, and the investment-related index focused on by the investor is not similar at the point where the distance is long. As a result of clustering based on the similarity of investment-related indexes that the investor paid attention to at the time of transaction, clusters C1 to C4 are obtained in the example of FIG. Therefore, in this example, the specifying unit 23 specifies the four clusters C1 to C4 as investment styles C1 to C4, respectively.

FIG. 6 shows an example of investment-related indicators that are focused on in each investment style. At the stage of considering the characteristics of each investment style, investment-related indicators with high attention are extracted. FIG. 6 shows an example of extracting investment-related indexes having the highest degree of attention in each investment style. For example, in the investment style C1, the index A has the highest degree of attention, the index B has the second highest degree of attention, and the index C has the third highest degree of attention among the plurality of investment-related indexes. Similarly, in the investment style C2, the index D has the highest degree of attention, the index E has the second highest degree of attention, and the index F has the third highest degree of attention. In this way, as a result of analyzing the indexes with high attention for each investment style C1 to C4, the investment style C1 is a style in which the investment styles C1 focus on the indexes A, B, C and the like as investment-related indexes, and the investment style C2. Can be characterized as a style of conducting transactions by focusing on indicators D, E, F, etc. as investment-related indicators. In this way, based on the investment-related indicators that investors have focused on, various investment styles such as investment styles that focus on investment-related information such as corporate financial results information and investment styles that focus on the popularity and trends of stocks to be traded. Can be identified.

Returning to FIG. 3, the second estimation unit 24 acquires the transaction history of a target investor from the transaction history DB2 and estimates which investment style each transaction of the target investor belongs to. Specifically, the second estimation unit 24 calculates the degree of attention to each investment-related index for each acquired transaction in the same manner as the first estimation unit 22. Then, the second estimation unit 24 determines that the investment style closest to the combination of investment-related indexes having a high degree of attention is the investment style of the transaction. If the data of the degree of attention estimated by the first estimation unit 22 for each transaction of the target investor is already stored in the DB 15 or the like, the second estimation unit 24 newly calculates the degree of attention. Instead, it may be obtained from DB15.

In a preferred example, the second estimation unit 24 shows the transaction of the target investor in the space of the number of investment-related indicators (6 dimensions because there are 6 investment-related indicators in the example of FIG. 4). The distance between the position of the point (hereinafter referred to as "target transaction point") and the center of gravity of the cluster corresponding to each investment style is calculated, and the investment style corresponding to the cluster whose center of gravity is closest to the target transaction point is determined. , Estimate the investment style of the transaction.

In this way, the second estimation unit 24 obtains an investment style for all transactions included in the transaction history of the target investor, and estimates that the most frequent investment style is the investment style of the target investor. In this way, the investment style of an investor can be estimated.

[Investment style estimation process]
FIG. 7 is a flowchart of the investment style estimation process according to the first embodiment. This process is realized by the processor 12 shown in FIG. 2 executing a program prepared in advance and operating as each element shown in FIG.

First, the acquisition unit 21 acquires the transaction history of a plurality of investors from the transaction history DB2, and acquires the investment-related index at each transaction point from the investment-related index DB3 (step S11). Next, the first estimation unit 22 estimates the degree of attention of the investor to each investment-related index for each transaction using the attention mechanism based on the transaction history and the investment-related index (step S12). Next, the specifying unit 23 performs clustering based on the estimated degree of attention for each transaction, and specifies a plurality of investment styles (step S23). As a result, multiple investment styles are identified based on the transaction history and investment-related indicators at the time of the transaction.

In this way, when a plurality of investment styles are specified using the transaction history of a plurality of investors, a process of estimating the investment style of a specific investor is performed next. Specifically, the second estimation unit 24 acquires the transaction history of the target investor from the transaction history DB 2 (step S14). Then, the second estimation unit 24 assigns each transaction of the target investor to one of a plurality of investment styles based on the degree of attention of the target investor to each investment-related index, and the most frequent investment style. Is estimated as the investment style of the target investor (step S15). Then, the process ends.

[Effect of the first embodiment]
As described above, the investment style estimation device 100 of the first embodiment analyzes the transaction history of a plurality of investors from the viewpoint of the investment-related index that each investor paid attention to at the time of transaction, and the investment-related index of interest is Identify similar transactions as the same investment style. Then, the investment style of the target investor is estimated based on the transaction history of the target investor. This makes it possible to identify investment styles in consideration of various indicators such as fundamental analysis and shareholder benefits, and to estimate the investment styles of each investor.

[Modification example]
In the first embodiment described above, the investment style estimation device 100 specifies the investment style by using the transaction history of a plurality of investors and the investment-related information at the time of the transaction, but further attributes of the plurality of investors. Information may be used to identify investment styles. As the investor's attribute information, the investor's static attribute information and dynamic attribute information can be used. Static attribute information includes so-called demographic attribute information such as age, family structure, income, occupation, educational background, and area of residence. The dynamic attribute information includes the state of the investor, the situation in which the investor is placed, and the like, for example, the stock price, the stock price, the quantity, the total amount of assets, the trading history of the last month, and the like.

In this case, the investment style estimation device 100 acquires attribute information of a plurality of investors in addition to the transaction history and investment-related indexes, and performs clustering to specify the investment style. Then, the investment style estimation device 100 estimates the investment style based on the transaction history and attribute information of a certain target investor. This makes it possible to estimate the investment style in consideration of the attributes of each investor.

<Second Embodiment>
Next, a second embodiment of the present invention will be described. The report display device 200 in the second embodiment displays the investment style estimation result obtained by the method of the first embodiment and the investment style report proposing a change in the investment style in order to improve the investment performance. It differs from the investment style estimation device 100 in the first embodiment in that it further includes a display control unit that controls the display device so as to display. The display device may be a part of the report display device 200, or may be an external device different from the report display device 200.

[Hardware configuration]
The hardware configuration of the report display device according to the second embodiment is basically the same as that of the investment style estimation device of the first embodiment shown in FIG. In the second embodiment, the processor 12 executes the report display process described later.

[Functional configuration]
FIG. 8 is a block diagram showing a functional configuration of the report display device 200 according to the second embodiment. The report display device 200 includes an acquisition unit 21, a first estimation unit 22, a specific unit 23, a second estimation unit 24, a generation unit 25, and a display control unit 26.

Here, the acquisition unit 21, the first estimation unit 22, the specific unit 23, and the second estimation unit 24 are the same as the investment style estimation device 100 of the first embodiment. That is, the report display device 200 identifies a plurality of investment styles based on the transaction history of a plurality of investors and investment-related indicators at the time of transaction by the same method as in the first embodiment, and the investment styles for a certain target investor. To estimate. Then, the generation unit 25 generates an investment style report that displays the investment style estimated by the second estimation unit 24 in comparison with other investment styles. The display control unit 26 displays the generated report on the display device.

(First display example)
FIG. 9 shows a first display example of the investment style report. An investment style report is a report created for a target investor. The Investment Style Report evaluates the investment style of the target investor while comparing it with other investment styles, and proposes changes to other investment styles as necessary. In the example of FIG. 9, the investment style report includes "investment style analysis" and "investment style change proposal". The investment style analysis is an example of analysis information, and the investment style change proposal is an example of proposal information.

"Investment style analysis" includes analysis table 91. The analysis table 91 shows "your transaction ratio", "overall profit", and "your profit" for each investment style specified by the specific unit 23. "You" refers to the target investor. Here, the generation unit 25 creates the analysis table 91 in consideration of the degree of similarity between the plurality of investment styles. Specifically, the generation unit 25 displays the investment styles with high similarity in the vicinity and the investment styles with low similarity in the distance in the analysis table 91. In the example of FIG. 9, the investment styles C1 and C2, C2 and C3, and C3 and C4, which are displayed adjacent to each other in the analysis table 91, have a high degree of similarity to each other. On the other hand, the similarity between investment styles C1 and C3 is lower than the similarity between investment styles C1 and C2, and the similarity between investment styles C1 and C4 is lower than the similarity between investment styles C1 and C3. By displaying in this way, the target investor can visually grasp whether or not a plurality of investment styles are similar depending on the position of each investment style in the analysis table 91. The degree of similarity between investment styles is calculated based on the degree of similarity of investment-related indicators that are of high interest in transactions of each investment style.

In the analysis table 91, "overall profit" indicates how much profit the transactions made in each investment style are making as a whole. That is, the total profit shows the value obtained by totaling the profits from transactions made by a plurality of investors for each investment style. In the example of FIG. 9, the profit of the investment style C4 is the highest, followed by the profit of the investment style C3. Therefore, in the example of FIG. 9, it can be seen that the investment styles C3 and C4 are generally investment styles that can generate high profits, and the investment style C2 is an investment style that makes it difficult to generate profits.

"Your transaction ratio" indicates the ratio of transactions made by the target investor for which this report was created to belong to each investment style. In the example of FIG. 9, 7% of the transactions of the target investor belong to investment style C1 and 40% belong to investment style C2. In addition, this target investor does not carry out transactions corresponding to investment styles C3 and C4. The remaining 53% of transactions are not classified into any investment style. From this, it can be seen that the main investment style of this target investor is C2.

"Your profit" indicates the value obtained by summing up the profits obtained from the transactions of the target investors by investment style. In the example of FIG. 9, it can be seen that the target investor has a negative profit, that is, a loss has occurred as a result of conducting a transaction belonging to the investment styles C1 and C2.

By showing the investment style analysis results in this way, the target investor can know which investment style his / her transaction is classified into and how much profit he / she is making. In addition, the target investor can know how profitable each investment style is for all of the multiple investors. Further, the target investor can know whether or not each investment style is similar depending on the position of each investment style in the analysis table 91.

The generation unit 25 displays an "investment style change proposal" for improving investment performance based on the analysis results of the target investors as described above. Specifically, the generation unit 25 proposes a change to an investment style that is close to the target investor and is expected to improve investment performance. In the example of FIG. 9, the generation unit 25 proposes a change from the current investment style C2 of the target investor to the investment style C3. Here, if only the investment performance is considered, it is the change to the investment style C4 that can be expected to improve the investment performance most. However, as the position in Analysis Table 91 shows, a change from investment style C2 to C4 requires a larger change than a change from investment style C2 to C3. In other words, from the perspective of investment style similarity, target investors whose current investment style is C2 are more likely to accept the change to C3 than investment style C4. Therefore, the generation unit 25 displays a proposal that can be expected to improve the investment performance with a relatively small change in the investment style. Specifically, the generation unit 25 determines the investment style as the target investment style, in which the similarity with the current investment style of the target investor is higher than the predetermined standard similarity and the profit can be expected to be higher than the standard value. ..

Further, the generation unit 25 exemplifies an index of interest before and after the change of the investment style, that is, an investment-related index of interest. In the example of FIG. 9, in the generation unit 25, the investment-related indexes that the investors of the current investment style C2 pay attention to are the indexes D to F, and the investment-related indexes that the investors of the changed investment style C3 pay attention to are the indexes. It is displayed that it is GI. As a result, the target investor can know specifically what kind of investment-related index should be focused on in the changed investment style C3.

FIG. 10 is a flowchart of a report display process using the first display example. This process is realized by the processor 12 shown in FIG. 2 executing a program prepared in advance and mainly operating as the generation unit 25 shown in FIG. This process is based on the premise that a plurality of investment styles have already been specified by the specific unit 23, and the profits and the like obtained by each investment style have been calculated.

First, the generation unit 25 classifies the transaction histories of a plurality of investors into the investment styles specified by the specific unit 23 (step S21). Next, the generation unit 25 calculates the degree of similarity between the investment styles and displays an analysis table arranged so that the similar investment styles are adjacent to each other (step S22).

Next, the generation unit 25 calculates and displays the overall profit for each investment style based on the transaction histories of the plurality of investors classified in step S21 (step S23). In addition, the generation unit 25 calculates and displays the transaction ratio and profit of the target investor for each investment style (step S24). Thus, as illustrated in FIG. 9, an investment style analysis table is displayed.

Next, the generation unit 25 creates and displays a proposal for changing the investment style (step S25). Specifically, the generation unit 25 determines the investment style in which the transaction ratio of the target investor is the largest as the current investment style. In addition, the generation unit 25 determines an investment style that has a high degree of similarity to the current investment style and increases profits as the target investment style. In the example of FIG. 9, the generation unit 25 sets the target investment style as the investment style C1 or C3 having a high degree of similarity to the current investment style C2 of the target investor, whichever has the larger overall profit. decide. Then, the generation unit 25 displays the current investment style and the focus index and the target investment style and the focus index as a proposal for changing the investment style. Then, the process ends.

In the above investment report display process, the generation unit 25 automatically determines the target investment style and proposes a change to that investment style. Instead, the report display device 200 may receive a designation of the investment style to be changed from the target investor and display a proposal for change to the designated investment style. In this case, the target investor specifies an investment style that is likely to be changed by looking at the investment style analysis table in the investment style report, and the generation unit 25 changes to the investment style specified by the target investor. Display the index of interest of.

Further, the generation unit 25 first automatically displays the investment style change proposal as in the above investment report display process, and further, when the target investor himself specifies the investment style of the change destination, the designated investment Suggestions for changes to the style may be displayed.

(Second display example)
FIG. 11 shows a second display example of the investment style report. Also in the second display example, the investment style report includes "investment style analysis" and "investment style change proposal". However, the investment style analysis is shown using a scatter plot 92 as illustrated in FIG.

Specifically, in the "investment style analysis", the generation unit 25 displays the transactions of a plurality of investors with a mark (hereinafter referred to as "transaction mark"). The generation unit 25 arranges the transaction marks on the scatter diagram 92 so that transactions having similar focus indexes at the time of transaction are located close to each other and transactions having dissimilar focus indexes are located far away from each other. As a result, clusters for each investment style appear on the scatter plot 92. The target investor can visually grasp the similarity of the index of interest in each transaction from the position and distance on the scatter diagram 92.

Further, the generation unit 25 classifies transactions of a plurality of investors into investment styles C1 to C4, and displays a transaction mark having a shape corresponding to the investment style. In the example of FIG. 11, the generation unit 25 indicates the transactions of the investment styles C1, C2, C3, and C4 by the corresponding marks “〇”, “Δ”, “▽”, and “□”, respectively. Further, the generation unit 25 shows the profit obtained by each transaction by color or hatching. In the example of FIG. 11, for convenience of illustration, profits are classified by hatching and shown. The target investor can know which investment style is profitable by looking at the shape and hatching of each transaction mark on the scatter diagram 92.

Further, the generation unit 25 displays the transaction of the target investor on the scatter diagram 92 with the transaction mark “☆”. The transaction mark of the target investor is also shown by hatching that differs depending on the profit obtained from the transaction.

The target investor who saw the investment style report can know the tendency of the investment style of all investors, the similarity of the focus indicators of each investment style, the profit of each investment style, and so on. In addition, the target investor can know his / her current investment style by displaying his / her own transaction mark. In addition, the target investor can easily visually know the magnitude of the change from the current investment style to another investment style and the expected profits if the change is made. For example, a target investor whose current investment style is C2 says, "If you change to investment style C4, you can expect an increase in profits, but you need to make a big change in style. On the other hand, if you change to investment style C3, it is relatively relatively. A small change in style is sufficient, and profits can be expected to increase. "

Further, also in the second display example, the generation unit 25 displays the "proposal for changing the investment style". In the example of FIG. 11, the content of the “proposal for changing the investment style” is the same as that of the example of FIG. 9, and shows the target investment style and the index of interest in the investment style. As in the case of the first display example, the generation unit 25 may automatically generate and display the "investment style change proposal" or change to the investment style specified by the target investor. You may display the case suggestions.

FIG. 12 is a flowchart of a report display process using the second display example. This process is also realized by the processor 12 shown in FIG. 2 executing a program prepared in advance and mainly operating as the generation unit 25 shown in FIG.

First, the generation unit 25 classifies the transaction histories of a plurality of investors into the investment styles specified by the specific unit 23 (step S31). Next, the generation unit 25 calculates the similarity of the index of interest in each transaction history, and creates and displays a scatter diagram 92 in which transaction marks are arranged so that similar transactions are located close to each other (step S32). ..

Next, the generation unit 25 calculates the profit for each transaction based on the transaction history of the plurality of investors classified in step S21, and displays the hatch corresponding to the profit for each transaction mark (step S33). .. Further, the generation unit 25 displays the transaction mark of the target investor on the scatter diagram 92 based on the transaction history of the target investor (step S34). Thus, as illustrated in FIG. 11, a scatter plot 92 showing the results of the investment style analysis is displayed.

Next, the generation unit 25 creates and displays a proposal for changing the investment style (step S35). The method of creating the investment style change proposal is the same as in step S25 in FIG. Specifically, the generation unit 25 displays the current investment style and the focus index and the target investment style and the focus index as a proposal for changing the investment style. Then, the process ends.

[Effect of the second embodiment]
As described above, according to the second embodiment, the target investor is relatively easy to accept and the investment performance is based on the investor's current investment style and the profits obtained from the plurality of investment styles. It is possible to propose a change in investment style that can be expected to improve.

[Modification example]
(Modification 1)
In the second embodiment, the investment style specified by the specific unit 23 is used in the same way as in the first embodiment. Alternatively, the report display device 200 may create and display an investment style report using a plurality of investment styles specified by a method different from that of the first embodiment.

(Modification 2)
In the above embodiment, the report display device 200 analyzes the investment style based on the investment-related index focused on the transaction by the investor and the time of the transaction, and proposes the change of the investment style to improve the performance of the transaction. .. However, the application of the present invention is not limited to investment behavior by investors, and can be applied to various behaviors of users. In other words, the report display device analyzes the user's behavior pattern based on the user's behavior and the information that the user pays attention to at the time of the behavior, and changes the behavior pattern to the user in order to improve the performance and the result produced by the behavior. You may make a suggestion.

For example, it is assumed that the user is a person who sells various insurance products (hereinafter referred to as "insurance seller"). In this case, the information that the user pays attention to is the information of each insurance product, the attributes of the target person for sale, etc., and the behavior pattern of the user is the insurance sales method, specifically, which product is recommended to the target person. , How to negotiate a business (telephone, face-to-face, via the Internet, etc.). In addition, the results and results produced by the user's behavior are the number of insurance contracts and profits. In this case, the report display device classifies insurance sales behavior patterns based on the past sales history of multiple insurance sellers and the information that the insurance sellers paid attention to at the time of sale, and the insurance sellers to be reported It analyzes which behavior pattern it belongs to, and proposes changes in behavior patterns that improve the number of contracts and profits, that is, changes in sales methods. For example, the report display device shifts the type of insurance handled to medical insurance or shifts the target group of sales to the elderly when sales are declining mainly for insurance sellers who sell automobile insurance. Make a suggestion. Further, not limited to insurance sales, the report display device may propose to sales employees in various fields to change the products handled or the target of sales in order to make a profit.

As described above, the method of the second embodiment analyzes the user's behavior pattern in various situations, and encourages the user to change the information to be noted at the time of the action in order to improve the performance and the result of the action. Can be used.

<Third Embodiment>
Next, a third embodiment of the present invention will be described. FIG. 13 is a block diagram showing a functional configuration of the display control device according to the third embodiment. As shown in the figure, the display control device 10 includes a generation means 71 and a display control means 72. The generation means 71 generates analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and generates proposal information to the target user based on the analysis information. Here, the proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Then, the display control means 72 controls the display device so as to display the analysis information and the proposal information.

FIG. 14 is a flowchart of processing by the display control device 70. First, the generation means 71 generates analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and generates proposal information to the target user based on the analysis information. (Step S41). Here, the proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Next, the display control means 72 controls the display device to display the analysis information and the proposal information (step S42). Then, the process ends.

According to the display control device 70 described above, it is possible to specifically present information to be noted based on the behavior patterns of a plurality of users and the target user, and propose the change of the behavior pattern to the target user.

Although the invention of the present application has been described above with reference to the above-described embodiments and the like, the invention of the present application is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the structure and details of the present invention within the scope of the present invention. Further, at least one or more of the functions of the acquisition unit, the first estimation unit, the second estimation unit, the specific unit, and the display control unit described above are installed and connected to any place on the network. It may be executed in, that is, it may be executed in so-called cloud computing.

A part or all of the above embodiment may be described as in the following appendix, but is not limited to the following.

(Appendix 1)
A generation means for generating analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and generating proposal information to the target user based on the analysis information.
A display control means for controlling the display device to display the analysis information and the proposal information, and
Equipped with
The proposed information includes the current behavior pattern of the target user, the attention information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Display control device.

(Appendix 2)
The display control device according to Appendix 1, wherein the analysis information includes a behavior pattern of the plurality of users, a performance for each behavior pattern, a behavior pattern of the target user, and a performance for the behavior pattern of the target user.

(Appendix 3)
The display control device according to Appendix 2, wherein the generation means arranges similar behavior patterns near and dissimilar behavior patterns far away in the analysis information.

(Appendix 4)
The generation means is described in

Appendix

2 or 3 for determining a behavior pattern in which the similarity with the current behavior pattern of the target user is higher than the reference similarity and the performance is higher than the reference value as the target behavior pattern. Display control device.

(Appendix 5)
The user is an investor, the behavior is a transaction, the behavior pattern is an investment style, the performance is a profit from a transaction, and the focus information is an investment-related index that the investor pays attention to at the time of a transaction. The report display device according to Appendix 2.

(Appendix 6)
The display control device according to Appendix 5, wherein the display control means displays the analysis information as an analysis table in which investment styles similar to each other are arranged adjacent to each other.

(Appendix 7)
The display control device according to Appendix 5, wherein the display control means means displays the analysis information as a scatter plot in which similar investment styles are arranged close to each other and dissimilar investment styles are arranged far away.

(Appendix 8)
The display control according to Appendix 5 in which the generation means determines an investment style in which the similarity with the current investment style of the target investor is higher than the standard similarity and the profit is higher than the standard value as the target investment style. Device.

(Appendix 9)
Based on the history of the behaviors of the plurality of users, the analysis information of the behavior patterns of the plurality of users and the target user is generated, and the proposal information to the target user is generated based on the analysis information.
Control the display device to display the analysis information and the proposal information,
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Display control method.

(Appendix 10)
Based on the history of the behaviors of the plurality of users, the analysis information of the behavior patterns of the plurality of users and the target user is generated, and the proposal information to the target user is generated based on the analysis information.
It is a process of controlling the display device to display the analysis information and the proposal information.
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. A recording medium that records a program that causes a computer to perform processing.

(Appendix 11)
A generation means for generating analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and generating proposal information to the target user based on the analysis information.
A display control means for controlling the display device to display the analysis information and the proposal information, and
Equipped with
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Display control system.

Although the present invention has been described above with reference to the embodiments and examples, the present invention is not limited to the above embodiments and examples. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

2 Transaction history DB
3 Investment-related index DB
21 Information acquisition department 22 Focus estimation department 23 Investment style definition department 24 Investment style estimation department 25 Report creation department 100 Investment style estimation device 200 Report display device

Claims

A generation means for generating analysis information of the behavior patterns of the plurality of users and the target user based on the history of the behavior of the plurality of users, and generating proposal information to the target user based on the analysis information.
A display control means for controlling the display device to display the analysis information and the proposal information, and
Equipped with
The proposed information includes the current behavior pattern of the target user, the attention information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Display control device.
The display control device according to claim 1, wherein the analysis information includes a behavior pattern of the plurality of users, a performance for each behavior pattern, a behavior pattern of the target user, and a performance for the behavior pattern of the target user.
The display control device according to claim 2, wherein the generation means arranges similar behavior patterns near and dissimilar behavior patterns far away in the analysis information.
According to claim 2 or 3, the generation means determines an behavior pattern in which the similarity with the current behavior pattern of the target user is higher than the reference similarity and the performance is higher than the reference value as the target behavior pattern. The display control device described.
The user is an investor, the behavior is a transaction, the behavior pattern is an investment style, the performance is a profit from a transaction, and the focus information is an investment-related index that the investor pays attention to at the time of a transaction. The report display device according to claim 2.
The display control device according to claim 5, wherein the display control means displays the analysis information as an analysis table in which investment styles similar to each other are arranged adjacent to each other.
The display control device according to claim 5, wherein the display control means means displays the analysis information as a scatter plot in which similar investment styles are arranged close to each other and dissimilar investment styles are arranged far away.
The display according to claim 5, wherein the generation means determines an investment style in which the similarity with the current investment style of the target investor is higher than the reference similarity and the profit is higher than the reference value as the target investment style. Control device.
Based on the history of the behaviors of the plurality of users, the analysis information of the behavior patterns of the plurality of users and the target user is generated, and the proposal information to the target user is generated based on the analysis information.
Control the display device to display the analysis information and the proposal information,
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. Display control method.
Based on the history of the behaviors of the plurality of users, the analysis information of the behavior patterns of the plurality of users and the target user is generated, and the proposal information to the target user is generated based on the analysis information.
It is a process of controlling the display device to display the analysis information and the proposal information.
The proposed information includes the current behavior pattern of the target user, the focus information corresponding to the current behavior pattern, the target behavior pattern of the target user, and the focus information corresponding to the target behavior pattern. A recording medium that records a program that causes a computer to perform processing.