MISC

2014年11月3日

Chic or social: Visual popularity analysis in online fashion networks

MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia
  • Kota Yamaguchi
  • ,
  • Tamara L. Berg
  • ,
  • Luis E. Ortiz

開始ページ
773
終了ページ
776
記述言語
英語
掲載種別
DOI
10.1145/2647868.2654958
出版者・発行元
Association for Computing Machinery, Inc

From Flickr to Facebook to Pinterest, pictures are increasingly becoming a core content type in social networks. But, how important is this visual content and how does it influence behavior in the network? In this paper we study the effects of visual, textual, and social factors on popularity in a large real-world network focused on fashion. We make use of state of the art computer vision techniques for clothing representation, as well as network and text information to predict post popularity in both in-network and out-ofnetwork scenarios. Our experiments find significant statistical evidence that social factors dominate the in-network scenario, but that combinations of content and social factors can be helpful for predicting popularity outside of the network. This in depth study of image popularity in social networks suggests that social factors should be carefully considered for research involving social network photos.

リンク情報
DOI
https://doi.org/10.1145/2647868.2654958
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84913587197&origin=inward
ID情報
  • DOI : 10.1145/2647868.2654958
  • SCOPUS ID : 84913587197

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