| Presentation | 2020-03-05 Predicting Follow Behavior on Social Media via User-Hashtag Interaction Yiwei Zhang, Xueting Wang, Toshihiko Yamasaki, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Following behavior prediction is an important task on social media since it represents users' preferences and could help platforms provide better recommendation. We think hashtags posted by users on social media represent their preferences and could be useful resources for following behavior prediction. In this paper, we utilized users and their hashtags on an Instagram dataset to create a user-hashtag interaction graph. Then we applied graph embedding technique to predict the account they followed. Due to the sparsity problem, we find that collaborative filtering-based method cannot predict well in this task. On the other hand, our proposed method has better performance since it captures high-order proximity in the sparse user-hashtag interaction matrix. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Social MediaHashtagRecommendationGraph EmbeddingUser-Hashtag Interaction |
| Paper # | IMQ2019-42,IE2019-124,MVE2019-63 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
|---|---|
| Conference Date | 2020/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting Follow Behavior on Social Media via User-Hashtag Interaction |
| Sub Title (in English) | |
| Keyword(1) | Social MediaHashtagRecommendationGraph EmbeddingUser-Hashtag Interaction |
| 1st Author's Name | Yiwei Zhang |
| 1st Author's Affiliation | The University of Tokyo(The Univ. of Tokyo) |
| 2nd Author's Name | Xueting Wang |
| 2nd Author's Affiliation | The University of Tokyo(The Univ. of Tokyo) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The University of Tokyo(The Univ. of Tokyo) |
| Date | 2020-03-05 |
| Paper # | IMQ2019-42,IE2019-124,MVE2019-63 |
| Volume (vol) | vol.119 |
| Number (no) | IMQ-454,IE-456,MVE-457 |
| Page | pp.pp.137-142(IMQ), pp.137-142(IE), pp.137-142(MVE), |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |