Predict the Next Location from Trajectory Based on Spatiotemporal Sequence

Jun Zeng, Haoran Tang, Yingbo Wu, Ling Liu, Sachio Hirokawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

The achievement of wireless communication technology of mobile devices has been witnessed, which produces a large number of trajectory data of mobile users. Processing and analyzing these trajectories could obtain users' movement patterns and behavior rules, leading to provide better location-based services such as point-of-interest recommendation and location prediction. However, enormous volumes of GPS trajectory with high frequency will pose challenges in storage, transmission and computation. Recently, with the rise of social networking sites, more and more users tend to share their geographic locations in real time, thus forming check-in sequences. Hence, this paper proposes a model called SSTLP for predicting next location from trajectory based on spatiotemporal sequence. Firstly, construct location transition probability model by capturing the change of locations in historical trajectory. Secondly, compute distance possibilities of locations by the combination of normal distribution and cosine similarity and then the next location could be figured out. Experiments on real-world data set demonstrate that the proposed model outperforms traditional prediction algorithms.

元の言語英語
ホスト出版物のタイトルProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ページ109-114
ページ数6
ISBN(電子版)9781728126272
DOI
出版物ステータス出版済み - 7 2019
イベント8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, 日本
継続期間: 7 7 20197 11 2019

出版物シリーズ

名前Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

会議

会議8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
日本
Toyama
期間7/7/197/11/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Social Sciences (miscellaneous)

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