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Research on Social Tags-based Personalized Information Services

Author: GaoLianHua
Tutor: XiongHuiXiang
School: Central China Normal University
Course: Information Science
Keywords: Social labels personalized information services user interest model single-user interest model group-user interest model process framework of personalizedinformation services
CLC: G350
Type: Master's thesis
Year: 2012
Downloads: 246
Quote: 0
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Abstract


To solve the problem of "information overload" and "information Trek" caused by the quick development of Web2.0, personalized information service is becoming the focus of attention of the academia and industry. The user model is the core of personalized information services, the quality of user model is directly related to the quality of information services, but the traditional keyword-based modeling approach can not express a variety of the interest of user, and it can not reveal the characteristics of contents of the resource completely, therefore it can not meet the personalized needs of user. As the core elements of Web2.0, social tag not only contains the user interest in stability, but also can give a more comprehensive description of the contents of the resource. The paper applies social tag to personalized information services and constructs a tag-based single-user model and a group-user model, and on this basis, this paper draws a framework of the single-user and group-user personalized information services on the idea of collaborative filtering in order to optimize the processes of personalized information service and improve service quality in collaborative tagging system.This article has a total of six chapters. Firstly, in chapter1, this paper introduces the research status of tag-based personalized information services and the main content, the structure, the key issues intended to resolve and the innovation of the paper. Then, in chapter2, this paper describes the theoretical research of social tag and the personalized information services, gives a summary of the main problems of the existing system and analyzes the feasibility of the tag-based personalized information services. The chapter3and chapter4are the focus and difficult points of this article. In chapter3, this paper constructers the single-user and group-user model. In chapter4, this paper draws a framework of the single-user and group-user personalized information services. Finally, this paper summarizes the main research contents and looks forward to the future research focus and direction in chapter5.

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