Web user log mining for web retrieval

被引：0
|
作者：
Yu, YJ [1 ]
Chen, C [1 ]
机构：
[1] Zhejiang Univ, Inst Comp Sci, Zhejiang 310027, Peoples R China
来源：
2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS | 2002年
关键词：
web information retrieval; improved Bayesian algorithm; relevant feedback; web log mining; information space; user space;
D O I：
10.1109/TENCON.2002.1181223
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As information on the Internet expanded rapidly, we can get more information than before. However, how to find user-intended information from the Internet include text, images, videos isn't easy, In this paper, we use relevant feedback and build user space by improved Bayesian algorithm to mine the log of user's feedback to improve retrieval performance. Data mining is used to remove clutter and irrelevant text information, and help to eliminate mismatch between the page author's expression and the user's understanding and expectation.
引用
收藏
页码：97 / 100
页数：4
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