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2004
Springer

User-Oriented Adaptive Web Information Retrieval Based on Implicit Observations

9 years 2 months ago
User-Oriented Adaptive Web Information Retrieval Based on Implicit Observations
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regardless of who submitted the query. Generally, each user has different information needs for his/her query. Therefore, the search result should be adapted to users with different information needs. In this paper, we first propose several approaches to adapting search results according to each user’s need for relevant information without any user effort. Experimental results show that search systems that adapt to a user’s preferences can be achieved by constructing user profiles based on modified collaborative filtering.
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshika
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where APWEB
Authors Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura
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