Cognitive Studies: Bulletin of the Japanese Cognitive Science Society
Online ISSN : 1881-5995
Print ISSN : 1341-7924
ISSN-L : 1341-7924
Featur: Social Navigation
Recommendation Technique with Surprisingness by Extracting User's Interest Underlying E-mail and Web Page Recommendation Agent System
Mari SaitoNoriyuki Yamamoto
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JOURNAL FREE ACCESS

2004 Volume 11 Issue 3 Pages 252-261

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Abstract
In this paper, the technique for extracting user's interests implicit in E-mails and recommending with surprisingness by presenting unexpected contents is proposed. We discover two effective measures for extracting such interests through some experiments. One is the number of the times a user sent for selecting interesting Topics and the other is the modified tf · idf value for selecting interesting words. A Web page recommendation system which applies this technique is also introduced. This system can guide a user ahead towards unexpected contents which are not limited in the specific domain.
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© 2004 Japanese Cognitive Science Society
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