Information processing apparatus, information processing method, and information processing program

Abstract

To provide an information processing apparatus which predicts the publicity of a company and stock trading activities with higher accuracy, even if selection of brands is affected by factors other than stock prices, such as a subjective view, preference or attributes of a user, in actual stock trading.SOLUTION: An information processing apparatus 2 includes: a storage unit 22 which stores stock trading history of a user and attribute information of the user; a generation unit 212 which generates an index of interest of the user in a company, using the stock trading history and the attribute information stored in the storage unit 22; and a prediction unit 213 which predicts the publicity of the company or stock trading activities of the user using the index generated by the generation unit 212.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] Stock price prediction devices that predict stock prices using past stock price fluctuations have been known for some time. For example, Patent Document 1 discloses a stock price prediction device that executes a prediction program to calculate a predicted margin trading balance number for each prediction target date on or after the due date using the systematic margin trading balance number for each date from the agreement date, counting back the due date by the systematic margin trading settlement deadline, and calculates a predicted closing stock price for the prediction target date based on the calculated predicted margin trading balance number for each prediction target date and the actual closing stock price on the date for the corresponding systematic margin trading balance number. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2004-240964 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the technology disclosed in Patent Document 1, stock price prediction is performed by incorporating the standardized margin trading balance and the stock price fluctuation range related to this predicted margin trading balance, but such a stock price prediction method is difficult for people who are not familiar with stock trading. Therefore, in actual stock trading, there are many cases where factors other than stock price, such as the user's subjectivity, preferences, and attributes, affect stock selection, and this tendency is particularly strong for people who are not familiar with stock trading.

[0005] The present invention has been made in consideration of such problems, and aims to provide an information processing device, an information processing method, and an information processing program that generate indicators for stock trading based on a user's subjective opinion and use the indicators to predict corporate reputation and the user's stock trading behavior. [Means for solving the problem]

[0006] The information processing device of the present invention comprises a memory unit that stores a user's stock trading history and user attribute information, a generation unit that uses the stock trading history and attribute information stored in the memory unit to generate an indicator indicating the user's interest in a company, and a prediction unit that predicts company recognition or the user's stock trading behavior using the indicator generated by the generation unit.

[0007] The information processing method of the present invention is executed by a control unit of an information processing device. In this information processing method, a stock trading history of a user and attribute information of the user are stored, an index showing the user's interest in a company is generated using the stored stock trading history and attribute information, and the generated index is used to predict the company's name recognition or the user's stock trading behavior.

[0008] The information processing program of the present invention stores a user's stock trading history and the user's attribute information, generates an index indicating the user's interest in a company using the stored stock trading history and attribute information, and causes a control unit to execute a process of predicting company recognition or the user's stock trading behavior using the generated index. Effect of the Invention

[0009] According to the information processing device, information processing method, and information processing program of the present invention, an index for stock trading is generated based on a user's subjective opinion, and the index is used to predict corporate popularity and the user's stock trading behavior. As a result, even if factors other than stock prices, such as the user's subjective opinion, preferences, and attributes, affect stock selection in actual stock trading, it is possible to predict corporate popularity and stock trading behavior with higher accuracy. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic configuration diagram of an information processing system. [Diagram 2] FIG. 2 is a diagram illustrating a hardware configuration of an information processing device. [Diagram 3] FIG. 11 is a diagram showing a hypothetical stock trading process performed by a user terminal. [Figure 4] FIG. 1 illustrates a record of hypothetical stock transactions. [Diagram 5] 13 is a flowchart showing a process for predicting a company's popularity and a user's stock trading behavior. [Figure 6] FIG. 13 is a diagram showing a process of transmitting user information to a management device managed by a company. [Figure 7] FIG. 1 illustrates a process for publishing company information including articles by users. [Figure 8] FIG. 13 is a diagram showing an example of information to be made public. [Figure 9] FIG. 13 is a diagram showing a process of updating a website of another affiliated company. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In the following description, the same components are given the same reference numerals, and duplicated description will be omitted. EXAMPLES

[0012] 1 is a schematic diagram of an information processing system 10. The information processing system 10 includes a user terminal 1, an information processing device 2, an information distribution device 3, and a management device 4, and these components are configured to be able to communicate with each other via the Internet 5.

[0013] The user terminal 1 is an information and communication device such as a personal computer or a smartphone, and is operated by a user who performs virtual stock trading. The user terminal 1 is connected to the Internet 5, and can communicate with other components including the information processing device 2 via the Internet 5. The user terminal 1 mainly communicates with the information processing device 2, and transmits data according to user operations to the information processing device 2, and receives predetermined data related to display and notification from the information processing device 2.

[0014] The user may be any individual, but since virtual stock trading is performed on the information processing device 2, the user may be a wider variety of individuals, including students, than in the case of actual stock trading. In addition, the user may be able to be pre-registered, and if the user is a student, an electronic copy of a verification document such as a student ID card is sent in advance from the user terminal 1 to the information processing device 2 along with the user's own attribute information such as the user's gender and university affiliation.

[0015] The information processing device 2 is a device that, upon receiving control resulting from a user's operation from the user terminal 1, performs an operation according to the control. The information processing device 2 causes the user to execute a virtual stock transaction. Furthermore, the information processing device 2 performs an analysis according to the user's personal attributes using the virtual stock transaction information, and calculates an interest index indicating the user's interest in a company. The information processing device 2 predicts the stock trading behavior of each user, or the recognition of each company among users, using the calculated interest index.

[0016] In addition to these services, the information processing device 2 may publish information on individual companies, including articles about companies that users have created through research or the like, on the Internet 5. The articles created by users may be used to calculate the user's interest index. Furthermore, the information processing device 2 may provide a service of extracting users who show a high interest in individual companies using the interest index, and providing the extracted users' information to the companies.

[0017] The information distribution device 3 is, for example, a server that provides news information, and is a device capable of distributing various pieces of information that are publicly available. The information distribution device 3 is configured to be capable of distributing, for example, the current value of stocks in the market and information about companies to any device including the information processing device 2. The information about companies is not limited to information such as the company's past stock prices, but also includes various pieces of information such as environmental initiatives.

[0018] 2 is a diagram showing a hardware configuration of the information processing device 2. The information processing device 2 includes a control unit 21 configured with a CPU (Central Processing Unit) and / or a GPU (Graphics Processing Unit) that controls the entire information processing device, a storage unit 22 configured with a ROM (Read Only Memory), a RAM (Random Access Memory), and / or a hard disk, etc., and storing programs and various data, a communication unit 23 that communicates via the Internet 5, a display unit 24 that displays data on an information display device such as a display, and an input unit 25 that accepts input from an operating device such as a keyboard.

[0019] The control unit 21, the storage unit 22, the communication unit 23, the display unit 24, and the input unit 25 are configured to be interconnected and capable of communicating with each other within the information processing device 2. The information processing device 2 is configured to be capable of executing predetermined processes by executing programs recorded in the storage unit 22. The hardware configuration of the information processing device 2 shown in this figure is an example, and it is sufficient that the information processing device 2 is configured to be capable of executing predetermined processes by operating in accordance with the stored programs.

[0020] The control unit 21 is capable of executing various processes by executing a program, and thus includes physical and logical processing blocks for executing these processes. In detail, the control unit 21 includes a buying and selling unit 211 for executing virtual buying and selling of stocks, a generating unit 212 for generating an interest index indicating a user's interest in a company, a predicting unit 213 for predicting company recognition or a user's stock trading behavior using the interest index generated by the generating unit 212, and a publishing unit 214 for publishing information on individual companies on the Internet 5. Details of the processing by the buying and selling unit 211, the generating unit 212, the predicting unit 213, and the publishing unit 214 will be described later.

[0021] The memory unit 22 is configured to be able to record any information, and in addition to the programs executed by the control unit 21, any information such as a virtual stock trading history set for each user, and a company report generated for each company and made publicly available is recorded.

[0022] Fig. 3 is a diagram showing a process of virtual stock buying and selling performed by the user terminal 1. In virtual stock buying and selling, stocks are not actually bought and sold in the securities market, but buying and selling of stocks is virtually recorded in the information processing device 2. Fig. 3 shows a user registration process in step S301, a virtual stock buy order process in steps S311 to S313, and a virtual stock sell order process in steps S321 to S323.

[0023] In step S301, the user terminal 1 performs initial registration of the user in the information processing device 2 in response to the user's operation. In the user registration, the user's attribute information such as the user's age, sex, and affiliation (school, work) is used. When the user terminal 1 transmits the attribute information to the information processing device 2, the user registration is completed in the information processing device 2. The user terminal 1 may transmit data of a verification document for the attribute information such as a student ID card to the information processing device 2. When the user registration is completed, the information processing device 2 issues information (login ID and password) to the user terminal 1 for the user to log in to the information processing device 2 when using a service provided by the information processing device 2. The attribute information includes investment experience, training history, and the presence or absence of knowledge about investment inferred from the qualifications held, and the attribute information may be additionally registered from the user terminal 1 or a terminal or device other than the user terminal 1.

[0024] Thereafter, the user operating the user terminal 1 can log in to the information processing device 2 using the login information and execute services provided by the information processing device 2. When the user completes the initial registration, a predetermined amount of funds becomes available for the user to use for virtual stock purchase orders. In addition, such user registration may be performed by the company that manages the management device 4, as described later.

[0025] In step S311, when the user operates the user terminal 1 to specify the company for which the buy order is to be placed and the number of shares to be ordered, a virtual buy order for shares is instructed to the information processing device 2.

[0026] In step S312, the information processing device 2 (buying and selling unit 211) obtains the current stock price of the company included in the buy order instruction from the user terminal 1 from the information distribution device 3. The information distribution device 3 distributes the current selling prices and buying prices of the company's stocks being bought and sold in the market, and the information processing device 2 obtains the buying price of the company specified by the user.

[0027] In step S313, the information processing device 2 (buying and selling unit 211) virtually purchases a predetermined number of shares of a predetermined company based on the information included in the virtual buy order instruction received from the user terminal 1 in step S311. At the same time, the information processing device 2 subtracts the amount required for the virtual purchase from the recorded virtual funds owned by the user. In this way, the information processing device 2 updates the user's funds and records that the user has virtually acquired a predetermined number of shares of a certain company.

[0028] In step S321, when the user operates the user terminal 1 to specify the name of the company that is the subject of the sell order and the number of shares to be ordered, a virtual sell order for shares is instructed to the information processing device 2. The company's shares that have been virtually purchased through the processes of steps S311 to S313 become the subject of the virtual sell order, and a sell order is placed for all or a part of the virtually owned shares.

[0029] In step S322, the information processing device 2 (buying and selling unit 211) communicates with the information distribution device 3 to obtain the current selling price of the stock of the company included in the sell order instruction from the user terminal 1.

[0030] In step S323, the information processing device 2 (buying and selling unit 211) virtually sells a predetermined number of shares of a predetermined company based on the information included in the virtual sell order instruction received from the user terminal 1 in step S321. At the same time, the information processing device 2 increases the amount of virtual funds owned by the user that are recorded and obtained through the virtual sale. In this way, the information processing device 2 updates the user's funds and records that the user has virtually sold a predetermined number of shares of a certain company.

[0031] 4 is a diagram showing a record of virtual stock trading recorded in the storage unit 22 of the information processing device 2. As shown in this figure, a record of virtual stock trading is generated for each user (Tanaka Ichiro and Suzuki Hanako in the illustrated example) in the information processing device 2. In addition to the user's name, user attribute information (gender, affiliation, address) is also recorded. This attribute information is merely an example, and other information may be used as the attribute information.

[0032] The virtual stock buying and selling records record virtual stock buying and selling orders made by the user. The buy and sell order information records the buy and sell order processing time and the buy and sell price, as well as the calculated profit margin (buy and sell price). In the illustrated example, Ichiro Tanaka's virtual transaction with △△ Co., Ltd. has a virtual buy order, but no sell order, so the sell order information and profit margin are left blank.

[0033] The information processing device 2 records information relating to such virtual stock transactions, and uses this information to generate an interest index for a user's company and to provide various services using the generated interest index.

[0034] FIG. 5 is a diagram showing a process of predicting a company's popularity and a user's stock trading behavior, which is performed by the information processing device 2. As shown in FIG.

[0035] In step S501, the information processing device 2 (the generation unit 212) acquires information on virtual stock transactions stored in the storage unit 22. The acquired virtual stock transaction information is a transaction history recorded for each user, as in the example shown in FIG.

[0036] In step S502, the information processing device 2 (the generation unit 212) uses the virtual stock trading information acquired in step S501 to extract companies where these transactions are concentrated. For example, many companies are listed on local stock exchanges, but especially when the users are mainly students, there is a bias in the companies whose virtual stocks are traded, and many of them deal in products for consumers. Therefore, in this step, companies where virtual stock trading of multiple users is concentrated are extracted.

[0037] In step S503, the information processing device 2 (generation unit 212) further extracts attribute information (gender, affiliation, address, etc.) common to users conducting virtual buying and selling for the companies extracted in step S502, and determines the degree of interest in the companies according to this attribute information.

[0038] In step S504, the information processing device 2 (generation unit 212) generates an index (interest index) indicating an interest in each company according to the attribute information for each user, using the results acquired in steps S502 and S503. In detail, the attribute information of the user is associated with the interest index, and the interest index of any user is calculated based on the attribute information. Note that, when associating with the interest index, the attribute information may be associated individually, or a combination of attribute information may be associated.

[0039] For example, a male user residing in the Chubu region tends to have a high interest index for companies whose head office is located in the Chubu region. In such a case, in step S502, the information processing device 2 extracts Chubu companies with a high concentration of transactions, and in the attribute analysis in step S503, it derives that the attribute information of male and residing in the Chubu region is highly correlated with the interest index for Chubu companies. As a result, if the attribute information of another user is highly correlated with the attribute information of male and residing in the Chubu region, a high interest index for companies in the Chubu region is generated. Regarding this correlation, the two attribute information of male and residing in the Chubu region may be associated with the interest index individually, or may be associated with the interest index in combination.

[0040] In step S505, the information processing device 2 (prediction unit 213) calculates the name recognition of a given company among all users, using the interest index of each user for each company obtained in the processes of steps S502 to S504. For example, the average of the interest indexes of all users for a certain company becomes the predicted value of the name recognition of the company. As a result, a company that has more transactions than other companies will have a higher name recognition. The predicted value of the company name recognition may be calculated by multiplying the attribute information extracted in step 503 by the proportion of citizens who have the attribute in the total population. As a result, a more appropriate predicted value can be obtained even if there is a bias in the attributes of all users (population).

[0041] In step S506, the information processing device 2 (prediction unit 213) obtains the strength of interest of all users in each company using the interest index of each user obtained in the processes of steps S502 to S504, and predicts stock trading behavior according to the strength of interest. For example, it predicts that a company with a high interest index according to the user's attribute information will be a target of the user's stock trading behavior.

[0042] Also, a difference may be calculated between the virtual trading information of the user acquired in step 501 and the stock trading behavior predicted in step 506 according to the strength of interest. As a result, the unique stock trading behavior of the user, i.e., the investment strategy, can be ascertained from the difference. By providing investment strategy information freely and flexibly constructed by users such as students in virtual trading to securities companies, etc., the securities companies, etc. can use the information for their own investment strategy planning and recruitment activities.

[0043] In this way, according to the information processing device 2, the generation unit 212 generates indices for stock trading based on the user's subjectivity, and the prediction unit 213 predicts corporate popularity and the user's stock trading behavior using the indices generated by the generation unit 212. As a result, even if factors other than stock prices, such as the user's subjectivity, preferences, and attributes, affect stock selection in actual stock trading, it is possible to predict corporate popularity and stock trading behavior with higher accuracy.

[0044] Here, the inventors have found that by using virtual stock trading data, it is possible to generate a company interest index according to user attribute information with higher accuracy than when using actual trading data. Therefore, the generated interest index can be applied not only to the stock trading behavior shown in step S506, but also to various services including the provision of company name recognition shown in step S505. As a result, the information processing device 2 of this embodiment can provide a wide range of services with higher accuracy.

[0045] In this way, the information processing device 2 generates a user's interest index for a company using the user's stock trading history and attribute information by the generation unit 212 (S502 to S504), and predicts the company's popularity (S505) using the interest index and the user's stock trading behavior (S506) by the prediction unit 213. Note that in the above explanation, both the processes of steps S505 and S506 are performed, but it is sufficient that at least one of the processes is executed, or other processes using the interest index may be executed.

[0046] Here, the information processing device 2 can use the interest index to not only predict the stock trading behavior of users and the name recognition of companies shown in Fig. 5, but also provide a user information providing service (Fig. 6) that provides companies with information on users with high interest indices for the company, a company information providing service (Figs. 7 and 8) that provides company information including articles written by users, and an information change service (Fig. 9) that allows companies to collectively change company information on websites linked to the information processing device 2. These services will be described below.

[0047] FIG. 6 is a diagram showing a process performed by the information processing device 2 to transmit information on the user of the user terminal 1 to the management device 4 managed by the company. As shown in step S504 of FIG. 5, the information processing device 2 creates an interest index for the user in the company based on the attribute information. In the process of this figure, the information processing device 2 extracts information on users who are highly interested in a specific company based on the interest index, and transmits the extracted user information to the company. Data on users who have a high interest index in a certain company can be used for the company's recruitment activities and marketing strategy planning. Details of such a process are as follows.

[0048] In step S601, in response to a user operation, the user terminal 1 transmits permission for distribution of the user's personal information (contact information, etc.) to the company to the information processing device 2. Note that this permission for distribution can be set in any manner, such as for each company, each type of company, and each company's head office location.

[0049] In step S602, the information processing device 2 (prediction unit 213) generates, for each company, a list of users who have been given permission to receive personal information in step S601.

[0050] In step S603, the management device 4 transmits to the information processing device 2 a request for delivery of personal information of users who are interested in the company to which the operator of the management device 4 belongs.

[0051] In step S604, the information processing device 2 (prediction unit 213) extracts users who have a high interest index in the company that sent the distribution request in step S603. In this way, users who are highly interested in the company that is the request source in step S603 are extracted.

[0052] In step S605, the information processing device 2 (prediction unit 213) distributes personal information of users who are interested in the company from among the users who have permission to receive the information to the management device 4. In this way, the company to which the operator of the management device 4 belongs can obtain information on users (mainly students) who are interested in the company, and can utilize this information for recruitment activities, etc.

[0053] Fig. 7 is a diagram showing a process of publishing company information including articles written by users on a web page. Fig. 8 is a diagram showing an example of a published web page. As shown in these figures, the information processing device 2 has a function of publishing a web page showing information about a specific company including articles created by users on the Internet 5. The processes in Figs. 7 and 8 are mainly performed by the publishing unit 214 in the control unit 21. Details of such processes are as follows.

[0054] In step S701, the information processing device 2 (publication unit 214) transmits a notification to the user terminal 1 requesting users selected using the interest index to create articles about the companies extracted based on the name recognition.

[0055] For example, the information processing device 2 extracts a company with low name recognition, and requests users with a relatively high interest index for the company to create an article. As another example, the information processing device 2 may request users with a low interest index for a certain company, but with a high interest index for other companies in the same industry or with a nearby head office location, to create an article for the company. As yet another example, if there is a company that has not been the subject of virtual trading for all users, the information processing device 2 may send a request to any user to create an article for such a company. In this way, the user has a place to research a company with low name recognition, and the company may gain name recognition from users, which is beneficial for both parties.

[0056] In step S702, the user terminal 1 generates an article in response to the user's operation. In detail, the user creates an article by investigating and interviewing the company notified in step S701. When the user interviews the company, the user terminal 1 may communicate with the management device 4 via the information processing device 2 to perform communication between the user and the company, such as arranging the interview date and time.

[0057] In step S703, the user terminal 1 transmits an article registration request including the article data to the information processing device 2 in order to publish the article generated in step S702.

[0058] In step S704, when the information processing device 2 (publication unit 214) accepts registration of an article about a specific company from the user terminal 1, it assigns general information about the company. The assigned general information is acquired, for example, from the information distribution device 3. The general information includes, for example, the trend of the company's stock price, an evaluation of the environment, and the like.

[0059] In step S705, the information processing device 2 (publication unit 214) inquires of the management device 4 managed by the company that is the subject of the article about whether or not the article generated through steps S703 and S704 can be made public.

[0060] In step S706, the management device 4 requests the information processing device 2 to add or change an article in response to an operation from the person in charge on the company side. Note that the management device 4 can access the information processing device 2 at any time to add or change an article.

[0061] In step S707, the management device 4 requests the information processing device 2 to publish the company's articles in response to an operation by the company's person in charge.

[0062] In step S708, in response to the publication request from the management device 4, the information processing device 2 (publication section 214) publishes the company information on the Internet 5, including the article created by the user (S702), to which general information has been added by the information processing device 2 (S704), and which has been modified and added to by the company (S706).

[0063] 8 is a diagram showing an example of an article published on a web page. According to this diagram, the published company information includes a first area 801 which is an article interviewed by a user and is mainly generated in step S702, a second area 802 which is general information about the company including environmental efforts and stock prices and is mainly generated in step S704, and a third area 803 which is information sent by the company (in the illustrated example, a special message from the company) and is mainly generated in step S707.

[0064] Furthermore, for a user who is logged in to the information processing device 2, a fourth area 804 is displayed at the last location, which displays a message prompting the user to perform an operation. In the example shown in this figure, the fourth area 804 displays a message accepting an operation to virtually purchase stocks and a message accepting employment by a company. The message for applying to a company may be a message permitting distribution of personal information to the company. The fourth area 804 is not displayed if the user is not logged in to the information processing device 2 as a user.

[0065] Furthermore, as shown in FIG. 9, the information processing device 2 is linked to other companies' websites, and can accept additions and changes to articles at any time in response to operations from the management device 4, and can reflect these articles on the linked websites.

[0066] The information processing device 2 is assumed to be linked to other websites that publish corporate information. The information processing device 2 accepts a request to add or change an article from the management device 4 (S706), and after accepting a request to publish an article from the management device 4 (S707), in step S901, the management device 4 requests, via the information processing device 2, that the article be added or changed in a batch not only in the web page published by the information processing device 2, but also in the websites of other companies that are partners of the information processing device 2.

[0067] As a result, the corrected or added article is first published by the information processing device 2 (S708). After that, in step S902, the information processing device 2 requests the other company's website to add or change the article. The content of the addition or change in the request is the same as the content sent from the management device 4 in step S706.

[0068] In step S903, the other company's website adds or modifies the article in response to the request, and in step S904, publishes a webpage including the added or modified article. In this way, the company staff member operating management device 4 can update multiple websites by only operating information processing device 2.

[0069] Although the user's interest index for a company is generated based on virtual stock trading information, it may be generated based on real stock trading information. Furthermore, it may be generated based on articles generated by the user. Furthermore, the interest index may be generated based on the results of a survey answered in advance by the user.

[0070] Thus, according to the information processing device 2 of this embodiment, the generation unit 212 generates an index indicating a user's interest in a company using the stock trading history and attribute information, and the prediction unit 213 predicts company popularity or stock trading behavior of the user using the index generated by the generation unit 212. As a result, even if factors other than stock prices, such as the user's subjectivity, preferences, and attributes, affect stock selection in actual stock trading, it is possible to predict company popularity and stock trading behavior with higher accuracy.

[0071] According to the information processing device 2 of this embodiment, since the virtual stock trading history used to generate the interest index is easier for users to consent to use than the actual stock trading history, and the time required to consider buying and selling is shorter due to the virtual trading, more data can be obtained. Furthermore, since it is possible to include students and others who have difficulty actually acquiring stocks as users, more attribute information can be obtained. As a result, the association between the interest index and the attribute information can be generated using data from more users, and therefore it can be used to provide a wider range of services with higher accuracy, that is, to predict users' stock trading behavior and corporate recognition.

[0072] According to the information processing device 2 of this embodiment, the generation unit 212 corrects the popularity of a company that is traded by more users than other companies in stock trading so that it becomes higher. By using a virtual stock trading history as described above, it is easy to obtain consent to use the data, and data of users having various types of attribute information can be used. As a result, it is possible to provide a wider range of services, including prediction of company popularity, as well as prediction of stock behavior in the financial field with higher accuracy.

[0073] According to the information processing device 2 of this embodiment, the publishing unit 214 extracts users who are relatively interested in a company using the interest index, and transmits information about the users to the company. In this way, the company can obtain information about users (mainly students) who are interested in the company, and can use this information for recruitment activities, etc.

[0074] According to the information processing device 2 of this embodiment, the publishing unit 214 publishes information about a company, including articles generated by a user, on the Internet 5. For example, the publishing unit 214 transmits to the user a request to create an article about a company predicted to have low corporate recognition, whereby the user has an opportunity to research low-recognition companies, and the company may gain recognition from the user, which is beneficial for both parties. Furthermore, the generating unit 212 can further improve prediction accuracy in various services by using the published articles to generate an interest index.

[0075] According to the information processing device 2 of this embodiment, before disclosing information about a company created by a user, the publishing unit 214 inquires of the company whether or not the information can be published, and publishes the information that is approved by the company. By performing such a check, the accuracy of the content of the article can be improved.

[0076] According to the information processing device 2 of the present embodiment, the publishing unit 214 publishes information about a company by adding information about the company created by the company or a third party. By adding such information, detailed content can be included in the published information.

[0077] The present invention allows various embodiments and modifications without departing from the broad spirit and scope of the present invention. The above-described embodiments are for explaining the present invention and do not limit the scope of the present invention. That is, the scope of the present invention is indicated by the claims, not the embodiments. Various modifications made within the scope of the claims and the scope of the invention equivalent thereto are considered to be within the scope of the present invention. [Explanation of symbols]

[0078] 2. Information processing equipment 21 Control section 212 Generation part 213 Prediction Department 214 Public Section 22 Memory section

Claims

1. A storage unit that stores a stock trading history of a user and attribute information of the user; a generation unit that generates an index indicating the user's interest in a company by using the stock trading history and the attribute information stored in the storage unit; and a prediction unit that predicts corporate popularity or stock trading behavior of the user using the index generated by the generation unit.

2. The information processing device according to claim 1 , wherein the stock trading history is a history of virtual stock trading.

3. The stock transactions are conducted by a plurality of the users, The information processing device according to claim 1 , wherein the generation unit corrects the corporate popularity of a company whose stock is traded by more users than other companies to be higher.

4. The information processing device according to claim 1 , wherein the prediction unit extracts the users who are relatively more interested in the company by using the index, and transmits information about the users to the company.

5. a publishing unit that publishes information about the company, including articles generated by the users, on the Internet; 3. The information processing device according to claim 1, wherein the generation unit generates an index indicating an interest in the company of the user who created the article using the stock trading history, the attribute information, and the article stored in the memory unit.

6. The information processing apparatus according to claim 5 , wherein the disclosure unit inquires of the company whether or not the information on the company is permitted to be disclosed before the information on the company is disclosed, and discloses the information permitted by the company.

7. The information processing device according to claim 5 , wherein the publishing unit publishes information about the company by adding information about the company created by the company or a third party.

8. An information processing method executed by a control unit of an information processing device, storing a stock trading history of a user and attribute information of the user; generating an index of the user's interest in a company using the stored stock trading history and the attribute information; An information processing method for predicting corporate popularity or the user's stock trading behavior using the generated index.

9. storing a stock trading history of a user and attribute information of the user; generating an index of the user's interest in a company using the stored stock trading history and the attribute information; A program that causes a control unit to execute a process of predicting corporate popularity or the user's stock trading behavior using the generated index.

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