Human mobility prediction based on a hierarchical interest model

Wei Liu, Yozo Shoji, Ryoichi Shinkuma

研究成果: Conference contribution

抄録

We propose a scheme to predict human mobility in this paper. First, a hierarchical interest model is introduced to organize the semantic category of locations in human mobility logs as well as representing their personalized mobility patterns. Then, by combining the interest models of different people, a 3-modes tensor with the features of person identity, time, and the semantic category of location is constructed. Tensor factorization is utilized to reveal people's mobility interest on different kinds of locations. Finally, personalized interest models are recovered from cumulative tensor to predict human mobility in a person-by-person way. Extensive evaluation results based on a large scale check-in dataset from real location-based social networks have validated that our proposal achieves better recall, precision, and F-Score in human mobility prediction as compared with the state-of-art approach.

本文言語English
ホスト出版物のタイトルProceedings - 20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
出版社IEEE Computer Society
ページ422-427
ページ数6
ISBN(電子版)9781538627679
DOI
出版ステータスPublished - 2018 2 22
外部発表はい
イベント20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017 - Bali, Indonesia
継続期間: 2017 12 172017 12 20

出版物シリーズ

名前International Symposium on Wireless Personal Multimedia Communications, WPMC
2017-December
ISSN(印刷版)1347-6890

Conference

Conference20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
国/地域Indonesia
CityBali
Period17/12/1717/12/20

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用

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