Utilizing search intent in topic ontology-based user profie for web mining

被引：13

作者：

Zhou, Xujuan ^{[1
]}

Wu, Sheng-Tang ^{[1
]}

Li, Yuefeng ^{[1
]}

Xu, Yue ^{[1
]}

Lau, Raymond Y. K. ^{[2
]}

Bruza, Peter D. ^{[1
]}

机构：

[1] Queensland Univ Technol, Sch Software Engn & Data Commun, Brisbane, Qld 4000, Australia

[2] City Univ Hong Kong, Dept Informat Syst, Kowloon, Hong Kong, Peoples R China

来源：

2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, (WI 2006 MAIN CONFERENCE PROCEEDINGS) | 2006年

基金：

澳大利亚研究理事会;

关键词：

D O I：

10.1109/WI.2006.186

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is well known that taking the Web user profiles into account can enhance the effectiveness of Web mining systems. However, due to the dynamic and complex nature of Web users, automatically acquiring worthwhile user profiles was found to be very challenging. Ontology-based user Profile can possess more accurate user information. This research emphasizes on acquiring search intentions information. This paper presents a new approach of developing user profile for Web searching. The model considers the user's search intentions by the process of PTM (Pattern-Taxonomy Model). Initial experiments show that the user profile based on search intention is more useful than the generic PTM user profile. Developing user profile that contains user search intentions is essential for effective Web search and retrieval.

引用

页码：558 / +

页数：2

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