Presentation | 2014-10-09 Social Popularity Score: Predicting Numbers of Views, Comments, and Favorites of Social Photos Using Only Annotations Shumpei SANO, Toshihiko YAMASAKI, Kiyoharu AIZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose an algorithm to predict the social popularity (i.e., the numbers of views, comments, and favorites) of content on social networking services using only text annotations. Instead of analyzing image/video content, we try to estimate social popularity by a combination of weight vectors obtained from a support vector regression (SVR) and tag frequency. Since our proposed algorithm uses text annotations instead of image/video features, its computational cost is small. As a result, we can estimate social popularity more efficiently than previously proposed methods. Furthermore, tags that significantly affect social popularity can be extracted using our algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Social media / social popularity / folksonomy / regression / classification |
Paper # | MVE2014-40 |
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Committee | MVE |
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Conference Date | 2014/10/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Social Popularity Score: Predicting Numbers of Views, Comments, and Favorites of Social Photos Using Only Annotations |
Sub Title (in English) | |
Keyword(1) | Social media |
Keyword(2) | social popularity |
Keyword(3) | folksonomy |
Keyword(4) | regression |
Keyword(5) | classification |
1st Author's Name | Shumpei SANO |
1st Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo() |
2nd Author's Name | Toshihiko YAMASAKI |
2nd Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo |
3rd Author's Name | Kiyoharu AIZAWA |
3rd Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo |
Date | 2014-10-09 |
Paper # | MVE2014-40 |
Volume (vol) | vol.114 |
Number (no) | 239 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |