| Title: | OS3-4 User-movement Estimation in Social Media Sites Based on Seq2Seq Model |
|---|---|
| Publication: | ICAROB2023 |
| Volume: | 28 |
| Pages: | 99-102 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2023.OS3-4 |
| Author(s): | Masaharu Hirota |
| Publication Date: | February 9, 2023 |
| Keywords: | Sequence-to-sequence model, Human mobility, Trajectory, Twitter |
| Abstract: | Many tourists upload content about tourist attractions to social media sites. The sequence of location information annotated on the content represents the user's movement. This movement information is an important source that can be used for recommendations and advertisements. However, users do not consistently post content about all the places they visit on social media. sites. This study aims to develop a method to estimate the location of users' movements. Our method uses a Seq2Seq model, which learns the reconstruction of users' movement trajectories. |
| PDF File: | https://alife-robotics.co.jp/members2023/icarob/data/html/data/OS/OS3/OS3-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.