Presentation 2013-09-12
Implementation and Evaluation of Image Recommendation Based on Genre Learning in Social Network Services
Yu KAMIYA, Kyoko YAMORI, Yoshiaki TANAKA,
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Abstract(in English) Most image recommendation services in SNS (Social Network Services) use collaborative filtering to calculate the similarity of contents. Collaborative filtering requires high computing power. It is difficult to calculate the recommendation indices immediately. In this paper, a new recommendation method is evaluated. It uses the genre information of the image content. The Web site application software is implemented to evaluate the accuracy of the recommendation.
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Keyword(in English) Recommendation / Image / Genre / Learning / SNS / Social Network Service
Paper # CQ2013-28
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Conference Information
Committee CQ
Conference Date 2013/9/5(1days)
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Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Implementation and Evaluation of Image Recommendation Based on Genre Learning in Social Network Services
Sub Title (in English)
Keyword(1) Recommendation
Keyword(2) Image
Keyword(3) Genre
Keyword(4) Learning
Keyword(5) SNS
Keyword(6) Social Network Service
1st Author's Name Yu KAMIYA
1st Author's Affiliation Global Information and Telecommunication Institute, Waseda University()
2nd Author's Name Kyoko YAMORI
2nd Author's Affiliation Department of Management Informaton, Asahi University:Global Information and Telecommunication Institute, Waseda University
3rd Author's Name Yoshiaki TANAKA
3rd Author's Affiliation Global Information and Telecommunication Institute, Waseda University:Research Institute for Science and Engineering, Waseda University
Date 2013-09-12
Paper # CQ2013-28
Volume (vol) vol.113
Number (no) 208
Page pp.pp.-
#Pages 4
Date of Issue