Presentation 2009-11-13
Modeling and Verification of Serendipitous Recommender System
Takayuki AKIYAMA, Kiyohiro OBARA, Masaaki TANIZAKI,
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Abstract(in English) The recommender systems have the problem that more and more accurate it recommends and the recommended items does not have novelty and serendipity, and so they does not satisfy its users. In this report, we propose the serendipitous recommender system based on the hypothesis of human preference, and we verify the hypothesis. In conclusion, we show the result that the serendipitous contents can be recommended using the similarity metric between contents based on user preference.
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Keyword(in English) preference / recommend / serendipity / user satisfaction / user profile / user modeling
Paper # ISEC2009-63,LOIS2009-52
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Conference Date 2009/11/5(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling and Verification of Serendipitous Recommender System
Sub Title (in English)
Keyword(1) preference
Keyword(2) recommend
Keyword(3) serendipity
Keyword(4) user satisfaction
Keyword(5) user profile
Keyword(6) user modeling
1st Author's Name Takayuki AKIYAMA
1st Author's Affiliation Hitachi, Ltd., Central Research Laboratory()
2nd Author's Name Kiyohiro OBARA
2nd Author's Affiliation Hitachi, Ltd., Central Research Laboratory
3rd Author's Name Masaaki TANIZAKI
3rd Author's Affiliation Hitachi, Ltd., Central Research Laboratory
Date 2009-11-13
Paper # ISEC2009-63,LOIS2009-52
Volume (vol) vol.109
Number (no) 272
Page pp.pp.-
#Pages 7
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