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Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06) Track 3
Kauai, Hawaii
January 04-January 07
ISBN: 0-7695-2507-5
Gheorghe Muresan, Rutgers University
Michael Cole, Rutgers University
Catherine L. Smith, Rutgers University
Lu Liu, Rutgers University
Nicholas J. Belkin, Rutgers University

We report on an evaluation of the effectiveness of considering a user's familiarity with a topic in improving information retrieval performance. This approach to personalization is based on previous results indicating differences in user search behavior and judgments according to his/her familiarity to the topic explored, and to research on using implicit sources of evidence to determine the user's context and preferences.

Our attempt was to relate a topic-dependent concept and measure, familiarity with the topic, with topic-independent measures of documents such as readability, concreteness/abstractness, and specificity/generality. Contrary to our expectations, a user?s familiarity with a topic has no effect on the utility of readability or concrete/abstract scoring. We are encouraged, however, to find that high readability had a positive effect on search results, regardless of a user?s familiarity with a topic.

Citation:
Gheorghe Muresan, Michael Cole, Catherine L. Smith, Lu Liu, Nicholas J. Belkin, "Does Familiarity Breed Content? Taking Account of Familiarity with a Topic in Personalizing Information Retrieval," hicss, vol. 3, pp.53c, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06) Track 3, 2006
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