JP2000099486A - Automatic delivery type information providing processing method, its processor and recording medium recording program for the method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make it possible to provide only suitable information and to reduce user's operation load by analyzing action history recording the operation information of each user and individually and automatically selecting and providing interesting information in each user. SOLUTION: A judgement engine 4 receives judgement selected by a user 6 from a user's action model 3, records the received judgement, analyzes its pattern, and provides information (contents) required by the user 6 to the user 6. The engine 4 feeds back the information (contents) to the model 3 through a feedback data base 7 and a model constitution unit 2. When contents corresponding to the model 3 are newly provided, the past feedback data base 7 is referred to, and when a similar judgement pattern is generated, the engine 4 supposes that the user executes judgement by the same reference, automatically selects the contents and provides the selected contents to the user 6. Thus suitable information can be provided to the user 6.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an automatic distribution type information providing method for automatically distributing transmission information using a network according to a user's interest, a processing apparatus therefor, and a recording medium recording a program therefor.

[0002]

2. Description of the Related Art A conventional system for providing the latest information on the Internet requires one or more servers, a plurality of clients, and a network connecting each machine. There may be a server called a cache server to reduce traffic. The server simultaneously transmits the newly generated latest information to a plurality of clients simultaneously.

[0003] The push-type information distribution system is a system capable of simultaneously providing information from a server to a plurality of clients and automatically transmitting the latest information. The system has the following problems.

(1) Information provided by main application software, that is, news or advertisement distribution on television or radio, is referred to, and a server cannot provide information suitable for individual users. There is a cost for the user to collect the required information. As a system configuration for that purpose, there are a server centralized type and a distributed type.

[0005] (2) As a display method, each company has devised to increase the user's interest such as a screen saver, a ticker, and an automatic display using original software by referring to a television. Undesired display may be performed during the work, and the operability may be reduced.

[0006]

The conventional push-type information distribution system has the advantage that the latest information can be simultaneously distributed to the user, but has the disadvantage of sending unnecessary information. Further, there is a disadvantage that the latest information specialized for each user cannot be distributed. Further, there is a disadvantage that the field of the more necessary information is not specified in detail to the server, and the information of the necessary field is not distributed. Furthermore, when an initial value specified to the server is input in detail, since the value is fixed thereafter, there is a drawback in that it is impossible to cope with a change in the interest of the user or a change in the interest.

[0007] In the push type information distribution system, a method of uniformly providing information to a target user and a method of prompting the user to input an initial value and reflecting the initial value on the system are currently mainly used. ing.

[0008] However, when uniformly providing information, the content of the information does not always match the interests and interests of individual users, and the user must select appropriate information. Also, in the case of the initial value input method, there is a problem that it is impossible to follow a change in the content.

In order to solve this problem, it is desired to reduce the operation load when selecting information and to automatically select and provide information according to a change in the user's situation.

According to the present invention, an action model of a user is constructed based on operation information (hereinafter, action history) performed by the user, such as data search and URL access, and dynamic matching with information to be provided is performed. The purpose is to provide only information and reduce the operation burden on the user.

[0011]

According to the present invention, a push-type information distribution system is used to provide a server with information on the latest field of interest to a user, and to reduce the operation load compared to the conventional method. The functions of a model, a model builder, a judgment engine, a feedback database, and a situation parameter reduce the operation burden compared to the conventional method.

The user evaluates the provided information, and the evaluation is stored as a feedback database, and is reflected in the system in order to provide the user with appropriate information from the next time. If you are dissatisfied and need different information or need more detailed information,
Use a browser to obtain necessary information by referring to a search engine or URL. The operation information at this time is also accumulated as a feedback database and reflected in the system.

Therefore, information required by each user is provided according to the situation of the user.

[0014]

FIG. 1 is a diagram showing a configuration corresponding to an information acquisition scene according to the present invention. The symbol 1 in the figure is the action history,
2 is a model builder, 3 is a user behavior model, 4 is a judgment engine, 5 is a content database, 6 is a user,
7 represents a feedback database, and 8 represents a situation parameter.

FIG. 2 shows a system configuration of an embodiment for realizing the configuration diagram shown in FIG. In the figure, reference numeral 10 denotes a server, 20 denotes a client (corresponding to the system of the user 6 (generally plural) shown in FIG. 1), 30 denotes a search engine, and 40 denotes each information source on the Internet.

Information from each information source 40 on the Internet is supplied to and stored in the illustrated content database 5 in the server 10 via the search engine 30. Then, the server 10 provides the client 20 with information desired by the client 20. During this time, the behavior history of the client 20 is monitored, and the server 10 provides the information that the client 20 may desire at that time.

It should be noted that other symbols 1, 2, 3, and 2 in FIG.
4, 5, 7, and 8 correspond to FIG.

Step (1): Generally, each of a plurality of users performs user registration with the server 10 in order to receive provision of information from the server 10 side.

Step (2): In response to the user registration, the server 10 sends, to the user, initial contents prepared in advance, so to speak, and further provides status parameters.

Step (3): The user selects a parameter corresponding to his / her request from the provided situation parameters, and sends it back to the server 10.

Step (4): The server 10 extracts information that the user would like, based on the situation parameters selected by the user and transmits the information (“Provision of content” in the figure), as described later. ).

Step (5): The user who received the content evaluates the content and determines whether or not the content was desired by the user, and what kind of content the user wishes to transmit. Information such as the presence or absence is sent to the server 10 (“evaluation of user” in the figure).

Step (6): The server 10 re-considers the selection criterion in selecting the information that the user would like based on the “user evaluation”. Then, the result of the reconsideration is reflected in the provision of the content after the next time.

Hereinafter, a more specific description will be given with reference to FIGS. 1 and 2.

The action history 1 includes an occurrence time, a user GUI
Is an information file in which operation information, a URL access history of a browser, and the like are recorded.

FIG. 3 shows an action history created on the client side. The action history is prepared for each user, and the action history for each user is sent to the model builder 2.

The model builder 2 allows the user to dynamically provide the information content (content) according to the situation. Therefore, from the action history 1, that is, information indicating the action history shown in FIG. 3, user operation information, URL transition information indicating that a URL has moved from one URL to another URL, event processing occurrence time information due to user operation, GUI operation history information Based on the operation frequency (when the user tries to access)
It extracts information with a lot of information and automatically builds a user behavior model. Further, for the purpose of supporting the action of the user 6, the action model of the user is switched according to the situation of the user. For example, map information is provided when the user is moving, and highly entertaining information is provided when the user is at home. I do.

The same user ID or the same Cookie
The operation history based on the number or the like is measured as one user, the processing of what is being performed on a user-by-user basis is extracted, and under a certain situation parameter value transmitted to the judgment engine 4, the content of the field in which the user is Let's analyze what is requesting. Then, a correspondence table or a file that describes the content of which field is requested for which purpose is output as a user behavior model.

FIG. 4 shows the output format of each behavior model.

Each user has a plurality of such formats. A correspondence table of a plurality of behavior models 3 and a field of content provided from each model is automatically created. The field of the content described in the correspondence table can be automatically rewritten and changed using the data obtained from the feedback database 7. One of the criteria to be changed is a reference frequency. The field of the content database 5 having a high reference frequency is of interest to the user and is left in the correspondence table because the user has determined that the field is necessary. Conversely, if a certain period of time has elapsed since the reference was made once, it is determined that the content in the field is unnecessary or no longer interested in the user, and is deleted from the correspondence table.

The contents of the format shown in FIG. 4 can be automatically corrected by the judgment engine 4. The corresponding elements are the situation parameter 8 and the behavior model 3.

The user's behavior model 3 is a behavior model according to the situation, and passes information to be provided to the judgment engine 4 as shown in FIG. That is, information for executing content provision according to a change in the situation of the user is passed to the determination engine 4. If the content database 5 is newly changed for any reason, the judgment engine 4 makes a selection based on the feedback data, and the model builder 2
The result is fed back to the behavior model 3 via. For example, when the user has a meeting schedule, the information such as whether to provide the place reservation information of the destination or the schedule of another meeting participant is passed to the judgment engine 4.

The judgment engine 4 is a part for providing information to the user 6. The judgment selected by the user is received and recorded from the behavior model 3 of the user, and the pattern is analyzed to provide the content required by the user 6 to the user 6. At the same time, feedback is provided to the user's behavior model 3 via the feedback database 7 and the model builder 2. The judgment engine 4 provides the content obtained based on the result of the judgment pattern (matching between the user's behavior model 3 and the content database 5) to the user 6 as described above, and provides a feedback database as a result of the user's evaluation of the content. Record in 7.

When a new content is provided in correspondence with the user's behavior model 3, the past feedback database 7 is referred to, and when a similar judgment pattern is generated, the judgment engine 4 determines that the user has the same criteria. The information (contents) is automatically selected and displayed to the user 6. The content determined to be unnecessary is not provided to the user 6, and the content determined to be necessary is fed back to the user's behavior model 3 to change the user's behavior model 3 itself.

The content database 5 is a database containing data to be provided, and is provided directly from each information source 40 on the Internet shown in FIG. That is, the content database 5
Is a search engine (robot) mainly from the Internet
The HTML file is a part of an HTML format file collected by, for example, or an HTML format file obtained by extracting new information (latest information) from a specified URL.
The content is information in a plurality of fields, and the collected information is classified without discriminating or stored without being classified while being collected by a keyword.

FIG. 5 shows data creation time, data,
It has information such as keywords and data classification.

The user 6 represents an individual user, and selects the situation parameter 8. It also evaluates the information provided.

The feedback database 7 is an information database that records the evaluation of the information provided by the user. The model builder is changed based on this data. The feedback database 7 describes which content has been selected, the user's evaluation of the selected content, and the like.
When the user's behavior model 3 is constructed after processing, data for correcting the correspondence between a certain behavior model and content, and the correspondence of the content field provided from one behavior model are described.

FIG. 6 shows the format of the feedback database, which includes information such as the selected content name, the evaluation field for the content, and the status parameter value.

The situation parameter 8 is a situation parameter, and in accordance with an instruction from the user 6, which user's behavior model 3 is selected is reflected in the behavior model from the model builder 2. Needless to say, since each user has his or her own situation, a situation parameter 8 corresponding to the situation of the user is prepared. For example, “business trip”, “normal”, “meeting”, “annual holiday” and the like are prepared as the situation parameters 8. The contents of the content database 5 to be distributed are changed according to these situations.

In the present invention, each element is composed of an action model, a content database, a judgment engine, and a feedback database, and each is managed.

In order to execute provision of information and contents according to a change in the situation of the user, matching is performed between the model and the contents, and the matching is left as operation information.

When a new content is generated for the behavior model, the judgment engine 4 makes a selection based on the operation information and feeds back the result to the behavior model.

When the system gives unnecessary information to the user, it takes time to select the information, which affects the action and the decision. In order to prevent this, the judgment engine shown in FIG. 1 or FIG. 2 is provided, and the information contents that the system considers necessary for the user are selected from the contents database 5 and automatically selected for the user 6. To provide. The operation information indicating which content the user 6 has selected and the evaluation of the appropriateness of the content are recorded in the feedback database 7 and fed back to the model builder 2. The action history is a criterion of what information and content the judgment engine provides. Embodiment 1 Consider an example used for schedule management. Since each user has their own situation, situation parameters 8 corresponding to the situation of the user are prepared. As a situation parameter 8, “business trip”, “normal”, “meeting”, “annual holiday”, etc. are prepared. Information (contents provided to the user 6) to be delivered from the content database 5 is changed in accordance with these situations, and appropriate information is provided.

If the situation parameter 8 is "normal", the server (not shown) constructs an action model 3 for providing, for example, the latest information in the software field to the user as the content of the distribution. Similarly, if the situation parameter 8 is "business trip", Therefore, the system builds an action model 3 that provides information on transportation. When the situation shifts from “normal” to “business trip”, the distribution information is switched from the latest information in the software field to information on transportation. Also,
Generally, information and contents for each situation of each user are one to plural. Even if the status parameter 8 remains "normal", if it is found from the action history 1 that the latest information related to communication is frequently referred, the result is fed back to the user's action model 3. When the user's behavior model 3 is constructed, when the user goes on a business trip, the action history 1 obtained by searching the route, map, transportation condition, and weather forecast information to the destination using a browser or the like is extracted, and the user goes on the next business trip. Sometimes it is possible to provide the above information automatically. Thus, it is considered that the operation burden on the user can be reduced as compared with the conventional method.

[Second Embodiment] Assume that an employee A and a boss B who is the boss of the employee A are assumed. When employee A goes on a business trip using a browser or the like, (1) route to the destination, (2) map to the destination, (3) traffic operation status to the destination, (4) weather at the destination By extracting a behavior history that retrieves information in the order of the forecast and building a model, the next time employee A goes on a business trip, it is possible to automatically provide four pieces of information, and the user's operational burden Can be reduced.

In some cases, rules are changed, and information necessary for employee A's business trip changes. If boss B has permission to travel for the employee, employee A needs to confirm whether boss B is working normally or on vacation. Therefore, the user behavior model for the employee A is updated so as to provide information on the route, the map, the weather forecast, and the situation of the boss B.

In the above, the automatic distribution type information providing method and the processing device therefor have been described. However, the above-mentioned providing method can be held in the form of a program that can be executed by the data processing device. Therefore, it goes without saying that the present invention includes a recording medium recorded in the program.

[0049]

As described above, according to the present invention, it is possible to construct an action model based on the action history of the user, change the contents of distribution to the user according to the change in the situation of the user, and provide appropriate information. To

[Brief description of the drawings]

FIG. 1 is a diagram showing a configuration corresponding to an information acquisition scene of the present invention.

FIG. 2 is a diagram showing a system configuration.

FIG. 3 is an action history created on the client side.

FIG. 4 is an output format from a model builder.

FIG. 5 is a content format of a content database.

FIG. 6 is a format of a feedback database.

[Explanation of symbols]

 1: Behavior history 2: Model builder 3: User behavior model 4: Judgment engine 5: Content database 6: User 7: Feedback database 8: Situation parameter 10: Server 20: Client 30: Search engine 40: Internet information source

Claims (12)

[Claims] Claims: 1. An automatic distribution type information providing method in a system capable of simultaneously providing information from a server to a plurality of clients and automatically transmitting the latest information, a method of recording operation information for each user. An automatic distribution type information providing method characterized by analyzing histories and automatically selecting and providing information of interest for each user individually. 2. The provided information can be adapted to the user by sending the result of selecting the behavior model of the user by the user himself / herself selecting the situation parameter to the judgment engine. Automatic delivery type information provision processing method described. 3. The behavior model according to claim 1, wherein information referred to more frequently is automatically extracted from the operation information of the user, and an action model for determining information to be provided to the user is constructed. Automatic delivery type information provision processing method. 4. The automatic delivery type information providing method according to claim 1, wherein the judgment engine retrieves the information pointed out by the user's behavior model from the content database and provides the information to the user. . 5. An operation in which operation information for each user is recorded in an automatic delivery type information providing processing device in a system capable of simultaneously providing information from a server to a plurality of clients and automatically transmitting the latest information. It has a model builder that analyzes the histories and builds a behavior model, and a judgment engine that automatically determines the information of interest for each user according to the output from the model builder. An automatic distribution type information providing processing device characterized by the above-mentioned. 6. The adaptation of the provided information to the user by sending the result of selecting the user's behavior model by selecting the situation parameter by the user himself / herself to the judgment engine, is possible. Automatic distribution type information providing processing device described in the above. 7. The model builder automatically extracts more frequently referred information from user operation information,
6. The automatic delivery type information providing apparatus according to claim 5, wherein an action model for determining information to be provided to the user is constructed. 8. The automatic delivery type information providing process according to claim 5, wherein the judgment engine extracts information corresponding to information pointed out by a user behavior model from a content database and provides the information to the user. apparatus. 9. A recording medium in which an automatic delivery type information providing processing method in a system capable of simultaneously providing information from a server to a plurality of clients and automatically transmitting the latest information is recorded in the form of a program. In the above, an automatic distribution type information provision processing method is described in which a program for analyzing an action history recording operation information for each user and automatically selecting and providing information of interest individually for each user is recorded. A recording medium recorded in. 10. A program that enables a user to adapt provided information to a user by sending a result of selecting a behavior model of a user by himself / herself selecting a situation parameter to a judgment engine. A recording medium in which the automatic delivery type information provision processing method according to claim 9 is recorded in the form of a program. 11. A program for automatically extracting information to be referred to more frequently from operation information of a user and recording a program for constructing an action model for determining information to be provided to the user. A recording medium on which the automatic delivery type information provision processing method according to claim 9 is recorded in the form of a program. 12. The automatic processing system according to claim 9, wherein the judgment engine retrieves the information pointed out by the user's behavior model from the content database and records a program to be provided to the user. A recording medium on which a distribution-type information provision processing method is recorded in the form of a program.