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

Zhou, Xujuan and Wu, Sheng-Tang and Li, Yuefeng and Xu, Yue and Lau, Raymond Y.K. and Bruza, Peter D. (2006) Utilizing search intent in topic ontology-based user profile for web mining. In: IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 18-22 Dec, 2006.

Abstract

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.


Statistics for USQ ePrint 29689
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Historic - Faculty of Business - Department of Management and Organisational Behaviour
Date Deposited: 21 Nov 2016 02:57
Last Modified: 01 Dec 2017 06:12
Uncontrolled Keywords: Web mining; ontology; user profiles; pattern-taxonomy
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Identification Number or DOI: doi10.1109/WI.2006.186
URI: http://eprints.usq.edu.au/id/eprint/29689

Actions (login required)

View Item Archive Repository Staff Only