KR20090043128A - Method for provision of personalized community service - Google Patents

Abstract

A method of providing a personalized community service is disclosed. In accordance with another aspect of the present invention, there is provided a personalized community service providing method comprising: collecting a context including environment context information and user context information experienced by a user, and contexts in which the user controls a service under the context information and a service result; Recording the context and each occurrence frequency to build a user model; Automatically extracting a high frequency context from the user model; And automatically generating the personalization service corresponding to the environment context information and the user context information generated when the environment context information and the user context information included in the automatically extracted context are the same.

Description

How to provide personalized community service {Method for provision of personalized community service}

The present invention relates to a method of providing a community service, and more particularly, to a method of automatically providing a personalized community service.

Community is a concept that refers to a group of people who come together to achieve the same purpose in human society. Community computing is a community concept applied to a computing environment and is being researched to provide user-oriented services. Community computing defines roles for accomplishing a particular purpose and recruits computing resources to community members (community members) to play the defined roles. Community members work together to achieve the goals of community computing. The community manager who manages these communities and community members is the community manager.

A general community manager describes in advance a community service that a user wants to receive in a space in a community template using a description language called Community Description Language (CDL), and performs an action described in a community template when a specific situation occurs. do.

However, it is very difficult to anticipate all the situations that may occur and to record all the measures in a community template.

An object of the present invention is to provide a personalized community service generation method for automatically providing a personalized community service.

Another object of the present invention is to provide a personalized community service generation device and a community computing system for automatically providing a personalized community service.

In accordance with another aspect of the present invention, there is provided a method for providing a personalized community service according to an embodiment of the present invention. Collecting, a context collecting step; Recording the context and each occurrence frequency to build a user model; Automatically extracting a high frequency context from the user model; And automatically generating the personalization service corresponding to the environment context information and the user context information generated when the environment context information and the user context information included in the automatically extracted context are the same.

The personalized community service providing method may further include automatically extracting the high frequency environmental context information, user context information, service control content, and service result, and automatically recording the result in a community template. The automatically providing the personalization service may automatically provide a personalization service corresponding to the same environment situation information and user situation information based on the contents automatically recorded in the community template.

The user may be a user group including a plurality of users.

The apparatus for creating a personalized community service according to the present invention includes a plurality of sensor nodes that sense context including environment context information and user context information experienced by a user, and contents and service results of the user controlling the service under the context information. ; A context aware framework for collecting the contexts; A user model generator which records the collected contexts and their frequencies to build a user model; And a community service generator for automatically extracting a high frequency context from the user model to generate a personalized community service.

According to an aspect of the present invention, there is provided a community computing system comprising: a plurality of sensor nodes configured to sense context including environment context information and user context information experienced by a user, and contents and service results of a user controlling a service under the context information; A context aware framework for collecting the contexts; A user model generator which records the collected contexts and their frequencies to build a user model; A community service generation unit for automatically extracting a context with a high frequency from the user model and automatically recording it in a community template; And when specific environmental context information and user context information occurs, when the environmental context information and user context information are recorded in the community template, automatically providing services corresponding to the recorded environmental context information and user context information. Have a community manager.

The personalized community service generation method according to the present invention learns a user's experience in a specific situation and records it in a user model, and then automatically provides a personalized service to the user based on the user model when the same situation occurs again. Accordingly, there is an advantage that can automatically provide a suitable service to the user.

DETAILED DESCRIPTION In order to fully understand the present invention, the operational advantages of the present invention, and the objects achieved by the practice of the present invention, reference should be made to the accompanying drawings which illustrate preferred embodiments of the present invention and the contents described in the drawings.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

1 is a conceptual diagram schematically illustrating a method for providing a personalized community service according to the present invention.

Referring to FIG. 1, a user controls (uses or manipulates) a server or a device to receive a desired service. The server or device provides the service requested by the user in response to the user's control. As such, when service control and service provision of the user are made, the environmental context information and the user context information are collected, and the service control contents of the user and the provided service are collected. For example, the environmental situation information may include a time or place where the user is located. In addition, the user context information may indicate the behavior of the user. Examples of user context information include 'where the user came in' or 'the user has been in bed'.

Hereinafter, the collected environmental context information, user context information, service control contents of the user, and provided service contents are defined as contexts. When the user controls the service and the context is collected accordingly, a user model is built based on the collected information. In other words, the user model includes what service the user requested under what circumstances and what service result occurred. The user model also includes the frequency of occurrence of each context.

In the established user model, a high frequency context is automatically extracted and set up as a personalization service. When a specific environment situation or user situation occurs, the server or device automatically generates a personalization service and automatically provides it to the user. In more detail, when the environment context information and the user context information included in the automatically extracted context are the same, the server or device automatically provides a personalization service corresponding thereto.

2 is a diagram illustrating a personalized community service generation device and a community commuting system according to the present invention.

Referring to FIG. 2, the apparatus for generating personalized community service according to the present invention includes a plurality of sensor nodes 210_1 to 210_n, a context aware framework 220, a user model generator 230, and a community service generator 250. And a community manager 270.

Each sensor node 210_1 to 210_n senses a context including environment context information and user context information experienced by the user USER, contents controlled by the user, and service results. Since the context has been described above, detailed description thereof will be omitted.

The context aware framework 220 collects the contexts sensed by the sensor nodes 210_1 to 210_n and transmits the contexts to the user model generator 230. The context aware framework 220 may transform the collected contexts into a context having a resource description format (RDF) triple format, and transmit the converted contexts to the user model generator 230.

Table 1 shows an example of a context having an RDF triple format.

Subject Predicate Object Emotion $ user hasEmotion $ emotion Behavior $ user engaged $ behavior Groupuser $ user withGroup $ userList Time Time timestamp $ time Location $ user locatedin $ location ID $ user accessedService $ serviceid Property $ service hasProperty $ property Value $ property hasValue $ value

The user model generator 230 records the transferred contexts in the user model UM.

Table 2 shows an example of the user model.

Referring to Table 2, the user model UM may include a condition and an action. Condition refers to situational information when a user performs an action, that is, a condition experienced by the user in an environment to which the user belongs. The condition may include a user context and an environment context. The user context represents context information related to a user and may include user identification information Info and a user state. The environment context represents context information related to the environment and may include a time and a location.

Actions represent the user's control of the service or device and the result of the service. An action may include a service access, a device access, and a result. Service Access refers to the contents of the user controlling the service, Device Access refers to the contents of the user controlling the device, and indicates the result of the service that the user receives the result.

Frequency represents the frequency of occurrence of condition and action. That is, the frequency represents the frequency of actions taken by the user in a specific condition.

Main Category Category Component Condition User Context Info ID Name Birth hasParents hasChild User state Emotion Behavior Group user Groupuser Environment Context Time Location Action Service Access (Environment Context) ServiceID InputProperty InputValue Device Control (Environment Context) DeviceID ControlProperty Controlvalue result (Environment Context) Effect Output Frequency Frequency

The community service generator 250 automatically extracts a context having a high frequency from the user model UM to automatically generate a personalized community service. The community service generator 250 compares a predetermined threshold frequency with the occurrence frequency of the context recorded in the user model, automatically extracts a context having a frequency higher than the threshold frequency, and then based on the automatically extracted context. To automatically create a personalized community service.

The community service generation unit 250 may automatically record the automatically generated personalized community service in the community template CT. In addition, the community manager 270 may automatically provide a user with a personalized community service recorded in the community template CT. That is, the community manager 270 may control a server or device belonging to a domain environment to provide a personalized community service to a user.

The apparatus for generating personalized community services and the community commuting system according to the present invention may provide a personalization service suitable for a user group to a user group including a plurality of users. For example, when the user 1 and the user 2 are in the same space, the control contents applied to the server or the device are collected and recorded in the user model UM. When the situation where the user 1 and the user 2 are in the same space is repeated, the control contents recorded in the user model UM are performed.

Hereinafter, an example of a scenario in which the personalized community service generation device and the community commuting system according to the present invention are applied is introduced.

1) User A and User B live in the same house. User A sets the air conditioner to 23 degrees when he comes home and sets the air conditioner to 26 degrees before going to bed. User B sets the air conditioner to 25 degrees when he is home, and sets the air conditioner to 28 degrees before going to bed.

2) The context framework collects conditions and actions through the position sensor node and the temperature sensor node. For example, when user A comes home (condition), the user A sets the air conditioner service to 23 degrees (action).

3) The user model generator stores the collected conditions and actions in the user model.

4) If the condition and action as in 1) are repeated and the frequency of the specific condition and action exceeds a predetermined threshold frequency, the community service generator automatically extracts the specific condition and action and records it in the community template. For example, if User A comes home, set the air conditioner service to 23 degrees in the community template.

5) When user A comes home, the community manager automatically sets the air conditioning service to 23 degrees by referring to the community template.

6) In accordance with 2) through 5), User A's sleep service and User B's other services will be provided automatically.

Hereinafter, an example of a scenario in which the personalized community service generation device and the community commuting system according to the present invention are applied to a user group including two users is shown.

1) When User A and User B are located in the living room at the same time, User A and User B set the air conditioning service to 25 degrees by agreement.

2) The context framework collects conditions and actions through the position sensor node and the temperature sensor node. For example, if user A and user B are in the living room (condition), the air conditioner service is set to 25 degrees (action).

3) The user model generator stores the collected conditions and actions in the user model.

4) If the condition and action as in 1) are repeated and the frequency of the specific condition and action exceeds a predetermined threshold frequency, the community service generator automatically extracts the specific condition and action and records it in the community template. For example, if user A and user B are together in the living room, setting the air conditioner service to 25 degrees is recorded in the community template.

5) If User A and User B are together in the living room, the community manager automatically sets the air conditioner service to 25 degrees by referring to the community template.

As described above, optimal embodiments have been disclosed in the drawings and the specification. Although specific terms have been used herein, they are used only for the purpose of describing the present invention and are not intended to limit the scope of the invention as defined in the claims or the claims. Therefore, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS In order to better understand the drawings cited in the detailed description of the invention, a brief description of each drawing is provided.

1 is a conceptual diagram schematically illustrating a method for providing a personalized community service according to the present invention.

2 is a diagram illustrating a personalized community service generation device and a community commuting system according to the present invention.

Claims (9)

A context collecting step of collecting a context including environment context information and user context information experienced by the user, and contents controlled by the user under the context information and service results; Recording the context and each occurrence frequency to build a user model; Automatically extracting a high frequency context from the user model; And And automatically providing the personalization service corresponding to the environment context information and the user context information generated when the environment context information and the user context information included in the automatically extracted context are the same. To provide personalized community services. The method of claim 1, wherein the personalized community service is provided. And automatically extracting the high frequency environmental context information, user context information, service control contents, and service results, and automatically recording them in a community template. Automatically providing the personalization service, Based on the contents automatically recorded in the community template, the personalized community service providing method characterized in that it automatically provides a personalized service corresponding to the environment information and the user situation information that occurred the same. The method of claim 1, wherein automatically providing the personalization service includes: Personalized community service providing method characterized in that performed by a community manager (community manager). The method of claim 1, wherein automatically extracting the high frequency context comprises: And a context having a higher frequency than the threshold frequency is automatically extracted by comparing a predetermined threshold frequency with a frequency of occurrence of the context. The method of claim 1, And the user is a user group including a plurality of users. A plurality of sensor nodes that sense context including environment context information and user context information experienced by the user, and contents and service results of the user controlling the service under the context information; A context aware framework for collecting the contexts; A user model generator which records the collected contexts and their frequencies to build a user model; And And a community service generator for automatically extracting a high frequency context from the user model to generate a personalized community service. The system of claim 6, wherein the context aware framework comprises: Personalized community service generation device, characterized in that for changing the collected context to the context of the RDF (Resource Description Format), and transmits to the user model generator. The method of claim 6, wherein the community service generation unit, Personalized community, characterized in that automatically provides a personalized service corresponding to the environment situation information and the user context information generated in the same situation, the context information and the user context information included in the context recorded in the user model Service generation device. A plurality of sensor nodes that sense context including environment context information and user context information experienced by the user, and contents and service results of the user controlling the service under the context information; A context aware framework for collecting the contexts; A user model generator which records the collected contexts and their frequencies to build a user model; A community service generation unit for automatically extracting a context with a high frequency from the user model and automatically recording it in a community template; And When specific environmental context information and user context information is generated, when the environmental context information and user context information are recorded in the community template, the service corresponding to the recorded environmental context information and user context information is automatically provided. And a community manager.

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