Utilizing search intent in topic ontology-based user profile for web mining
Paper
Paper/Presentation Title | Utilizing search intent in topic ontology-based user profile for web mining |
---|---|
Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Wu, Sheng-Tang (Author), Li, Yuefeng (Author), Xu, Yue (Author), Lau, Raymond Y.K. (Author) and Bruza, Peter D. (Author) |
Journal or Proceedings Title | Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence |
ERA Conference ID | 60342 |
Number of Pages | 4 |
Year | 2006 |
Place of Publication | United States |
ISBN | 0769527477 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WI.2006.186 |
Web Address (URL) of Paper | https://dl.acm.org/citation.cfm?id=1249217&CFID=830407083&CFTOKEN=81934114 |
Conference/Event | IEEE/WIC/ACM International Conferenceon Web Intelligence (WI'06) |
IEEE/WIC/ACM International Conference on Web Intelligence (WI) | |
Event Details | IEEE/WIC/ACM International Conferenceon Web Intelligence (WI'06) Event Date 18 to end of 22 Dec 2006 Event Location Hong Kong, China |
Event Details | IEEE/WIC/ACM International Conference on Web Intelligence (WI) WI |
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. |
Keywords | Web mining; ontology; user profiles; pattern-taxonomy |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Queensland University of Technology |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q395y/utilizing-search-intent-in-topic-ontology-based-user-profile-for-web-mining
818
total views7
total downloads0
views this month0
downloads this month