ML Anthology

Become Popular in SNS: Tag Recommendation Using FolkPopularityRank to Enhance Social Popularity

Toshihiko Yamasaki, Yiwei Zhang, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa
IJCAI 2017 pp. 5252-5253
doi:10.24963/IJCAI.2017/781 /ijcai/2017/yamasaki2017ijcai-become/

Abstract

In this demo, we address two emerging yet challenging problems in social media: (1) scoring the text tags in terms of the influence to the numbers of views, comments, and favorite ratings of images and videos on content sharing services, and (2) recommending additional tags to increase such popularity-related numbers. For these purposes, we present a demo using our FolkPopularityRank (FP-Rank) algorithm, which can score and recommend text tags based on their ability to influence the popularity-related numbers. Our experiments using 1,000 photos showed that we can achieve 1.6 times more views than the original tag sets in Flickr just by adding tags recommended by FP-Rank.

PDF IJCAI Semantic Scholar

Cite

Text

Yamasaki et al. "Become Popular in SNS: Tag Recommendation Using FolkPopularityRank to Enhance Social Popularity." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/781

Markdown

[Yamasaki et al. "Become Popular in SNS: Tag Recommendation Using FolkPopularityRank to Enhance Social Popularity." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/yamasaki2017ijcai-become/) doi:10.24963/IJCAI.2017/781

BibTeX

@inproceedings{yamasaki2017ijcai-become,
  title     = {{Become Popular in SNS: Tag Recommendation Using FolkPopularityRank to Enhance Social Popularity}},
  author    = {Yamasaki, Toshihiko and Zhang, Yiwei and Hu, Jiani and Sano, Shumpei and Aizawa, Kiyoharu},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {5252-5253},
  doi       = {10.24963/IJCAI.2017/781},
  url       = {https://mlanthology.org/ijcai/2017/yamasaki2017ijcai-become/}
}