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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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recommendation / Image / Genre / Learning / SNS / Social Network Service |
Paper # | CQ2013-28 |
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Committee | CQ |
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Conference Date | 2013/9/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Quality (CQ) |
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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 |
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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 |
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