Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining
Zhou, Xujuan, Wu, Sheng-Tang, Li, Yuefeng, Xu, Yue, Lau, Raymond Y., & Bruza, Peter D. (2006) Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining. In Cheung, K.W. (Ed.) IEEE/WIC/ACM International Conference on Web Intelligence, 2006, 18-22 December 2006, China, Hong Kong.
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.
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|Item Type:||Conference Paper|
|Keywords:||data mining, information retrieval, ontologies (artificial intelligence), search engines|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2006 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||30 Aug 2007 00:00|
|Last Modified:||29 Feb 2012 13:25|
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