A Point-of-Interest Recommendation Method Using Location Similarity

Jun Zeng, Yinghua Li, Feng Li, Junhao Wen, Sachio Hirokawa

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

4 引用 (Scopus)

抜粋

POI recommendation aims to recommend places which users have not visited before. In this paper, we proposed a POI recommendation method using location similarity, which assumes that people may be interested in the places that are similar with the places that they have been to before. In order to calculate the similarity of locations, we proposed a novel method using time slots. Every two hours can be considered as a time slot. In other words, one day can be segmented into 12 time slots. For each location, the check-in times in each time slot can be collected. These check-in times can form a vector, which can be used to calculate the similarity of two locations. According to the similarity, the score of each unvisited locations can be calculated and sorted. Finally, the POI recommendation can be generated from the top-n unvisited locations. The experiment results show that the proposed method is effective.

元の言語英語
ホスト出版物のタイトルProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
編集者Kiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
出版者Institute of Electrical and Electronics Engineers Inc.
ページ436-440
ページ数5
ISBN(電子版)9781538606216
DOI
出版物ステータス出版済み - 11 15 2017
イベント6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, 日本
継続期間: 7 9 2017 → …

出版物シリーズ

名前Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

その他

その他6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
日本
Hamamatsu, Shizuoka
期間7/9/17 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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  • これを引用

    Zeng, J., Li, Y., Li, F., Wen, J., & Hirokawa, S. (2017). A Point-of-Interest Recommendation Method Using Location Similarity. : K. Hashimoto, N. Fukuta, T. Matsuo, S. Hirokawa, M. Mori, & M. Mori (版), Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 (pp. 436-440). [8113284] (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2017.122