A restaurant recommender system based on user preference and location in mobile environment

Jun Zeng, Feng Li, Haiyang Liu, Junhao Wen, Sachio Hirokawa

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

    21 被引用数 (Scopus)

    抄録

    Recommender system is an effective way to help users to obtain the personalized and useful information. However, due to complexity and dynamic, the traditional recommender system cannot work well in mobile environment. In this paper, we propose a restaurant recommender system in mobile environment. This recommender system adopts a user preference model by using the features of user's visited restaurants, and also utilizes the location information of user and restaurants to dynamically generate the recommendation results. Baidu map cloud service is used to implement the proposed recommender system. The result of a case study shows that the proposed restaurant recommender system can effectively utilize user's preference and the location information to recommend the personalized and suitable restaurants for different users.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
    編集者Ayako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ55-60
    ページ数6
    ISBN(電子版)9781467389853
    DOI
    出版ステータス出版済み - 8 31 2016
    イベント5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, 日本
    継続期間: 7 10 20167 14 2016

    出版物シリーズ

    名前Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

    その他

    その他5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
    国/地域日本
    CityKumamoto
    Period7/10/167/14/16

    All Science Journal Classification (ASJC) codes

    • 情報システム
    • 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
    • コンピュータ ビジョンおよびパターン認識

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