My paper Web Search Personalization via Social Bookmarking and Tagging has been accepted for publication and presentation in the research track of this year’s International Semantic Web Conference (ISWC), which will be held at the BEXCO in Busan, South Korea, from November 11 - 15, 2007.
In this paper, we present a new approach to web search personalization based on user collaboration and sharing of information about web documents. The proposed personalization technique separates data collection and user profiling from the information system whose contents and indexed documents are being searched for, i.e. the search engines, and uses social bookmarking and tagging to re-rank web search results. It is independent of the search engine being used, so users are free to choose the one they prefer, even if their favorite search engine does not natively support personalization. We show how to design and implement such a system in practice and investigate its feasibility and usefulness with large sets of real-word data and a user study.
You can download the paper as a PDF document:
- M. G. Noll, C. Meinel
Web Search Personalization via Social Bookmarking and Tagging, Proceedings of 6th International Semantic Web Conference (ISWC) & 2nd Asian Semantic Web Conference (ASWC), Springer LNCS 4825, Busan, South Korea, November 2007, pp. 367-380, ISBN 978-3-540-76297-3 (Springer Link, BibTeX)
- List of my publications
- Authors vs. Readers: A Comparative Study of Document Metadata and Content in the WWW, Proceedings of 7th Intl’l ACM Symposium on Document Engineering (ACM DocEng), Winnipeg, Canada, August 2007, pp. 177-186, ISBN 978-1-59593-776-6
- 6th Int’l Semantic Web Conference (ISWC) & 2nd Asian Semantic Web Conference (ASWC), Busan, South Korea, November 2007
- DMOZ100k06, a large research data set about document metadata based on a random sample of 100,000 web documents
- AOL500k, a large data collection by AOL, containing 20 million search queries from 650,000 users sampled over three months (March - May, 2006)