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

Xujuan Zhou, Sheng-Tang Wu, Yuefeng Li, Yue Xu, Raymond Y. K. Lau, Peter D. Bruza

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

28 Citations (Scopus)


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. Ontologybased 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.
Original languageEnglish
Title of host publicationWI 2006
Subtitle of host publicationmain conference proceedings
Place of PublicationHong Kong
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)9780769527475
Publication statusPublished - 2007
Externally publishedYes
EventIEEE/WIC/ACM international conference on web intelligence - Hong Kong
Duration: 18 Dec 200622 Dec 2006


ConferenceIEEE/WIC/ACM international conference on web intelligence
CityHong Kong

Fingerprint Dive into the research topics of 'Utilizing search intent in topic ontology-based user profile for Web mining'. Together they form a unique fingerprint.

Cite this