An Individual WEB Search Framework Based on User Profile and Clustering Analysis

摘要：

The search engine has played an increasingly important role, but nowadays the search engine based on string matching has many intrinsic shortcomings such as a low accuracy and inadequate individual support and so on. The paper introduces an improved framework which is based on the traditional search engine, adds a two-level profile architecture to trace and analyze users’ previous searching history, recommends information according to some other people’s search history in the same group, evaluates search result on real time to update the user query model, does Clustering analysis on search result, submits search result to users in different categories. At last people can get information that they are really interested in. The improved framework can greatly improve individual search function and users’ search satisfaction.

关键词： Search engine individual user profile common user profile user feedback clustering analysis

作者: Jie Yuan Xinzhong Zhu Jianmin Zhao Huiying Xu

作者单位: College of Mathematics,Physics and Information Engineering,Zhejiang Normal University,Jinhua,P.R.China

会议类型: 国际会议

会议名称: The First IEEE International Conference on Ubi-Media Coputing and Workshops(第一届泛媒体处理国际会议)

会议地点: 兰州

会议语种:英文

在线出版日期: 2008-07-15（万方平台首次上网日期，不代表论文的发表时间）