Web Intelligence, IEEE / WIC / ACM International Conference on (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.186
Xujuan Zhou , Queensland University of Technology, Australia
Sheng-Tang Wu , Queensland University of Technology, Australia
Yuefeng Li , Queensland University of Technology, Australia
Yue Xu , Queensland University of Technology, Australia
Raymond Y.K. Lau , City University of Hong Kong, Hong Kong
Peter D. Bruza , Queensland University of Technology, Australia
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.
Y. Li, S. Wu, X. Zhou, Y. Xu, P. D. Bruza and R. Y. Lau, "Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining," 2006 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Hong Kong, 2006, pp. 558-564.