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Research Article
User modeling for personalized Web search with self-organizing map
Article first published online: 25 JAN 2007
DOI: 10.1002/asi.20497
Copyright © 2007 Wiley Periodicals, Inc., A Wiley Company
Issue
Journal of the American Society for Information Science and Technology
Volume 58, Issue 4, pages 494–507, 15 February 2007
Additional Information
How to Cite
Ding, C. and Patra, J. C. (2007), User modeling for personalized Web search with self-organizing map. J. Am. Soc. Inf. Sci., 58: 494–507. doi: 10.1002/asi.20497
Publication History
- Issue published online: 16 FEB 2007
- Article first published online: 25 JAN 2007
- Manuscript Accepted: 5 MAR 2006
- Manuscript Received: 3 APR 2005
- Manuscript Revised: 5 MAR 2005
- Abstract
- Article
- References
- Cited By
Abstract
The widely used Web search engines index and recommend individual Web pages in response to a few keywords queries to assist users in locating relevant documents. However, the Web search engines give different users the same answer set, although the users may have different preferences. A personalized Web search would carry out the search for each user according to his or her preferences. To conduct the personalized Web search, the authors provide a novel approach to model the user profile with a self-organizing map (SOM). Their results indicate that SOM is capable of helping the user to find the related category for each query used in the Web search to make a personalized Web search effective.