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| Paper Abstract and Keywords | ||
| Presentation | 2020-03-05 10:10 Predicting Follow Behavior on Social Media via User-Hashtag Interaction Yiwei Zhang, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo)  IMQ2019-42 IE2019-124 MVE2019-63 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Social Media / Hashtag / Recommendation / Graph Embedding / User-Hashtag Interaction / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 457, MVE2019-63, pp. 137-142, March 2020. | |
| Paper # | MVE2019-63 | |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IMQ2019-42 IE2019-124 MVE2019-63 |
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| Conference Information | |
| Committee | IE IMQ MVE CQ |
| Conference Date | 2020-03-05 - 2020-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2020-03-IE-IMQ-MVE-CQ |
| Language | English |
| 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 Media |
| Keyword(2) | Hashtag |
| Keyword(3) | Recommendation |
| Keyword(4) | Graph Embedding |
| Keyword(5) | User-Hashtag Interaction |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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) |
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| Speaker | Author-1 |
| Date Time | 2020-03-05 10:10:00 |
| Presentation Time | 25 minutes |
| Registration for | MVE |
| Paper # | IMQ2019-42, IE2019-124, MVE2019-63 |
| Volume (vol) | vol.119 |
| Number (no) | no.454(IMQ), no.456(IE), no.457(MVE) |
| Page | pp.137-142 |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |
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