Personalized Landmark Recommendation for Language-Specific Users by Open Data Mining

    研究成果: Chapter

    抜粋

    This paper proposes a personalized landmark recommendation algorithm aiming at exploring new sights into the determinants of landmark satisfaction prediction. We gather 1,219,048 user-generated comments in Tokyo, Shanghai and New York from four travel websites. We find that users have diverse satisfaction on landmarks those findings, we propose an effective algorithm for personalize landmark satisfaction prediction. Our algorithm provides the top-6 landmarks with the highest satisfaction to users for a one-day trip plan our proposed algorithm has better performances than previous studies from the viewpoints of landmark recommendation and landmark satisfaction prediction.

    元の言語English
    ホスト出版物のタイトルStudies in Computational Intelligence
    出版者Springer-Verlag
    ページ107-121
    ページ数15
    DOI
    出版物ステータスPublished - 2019 1 1

    出版物シリーズ

    名前Studies in Computational Intelligence
    791
    ISSN(印刷物)1860-949X

      フィンガープリント

    ASJC Scopus subject areas

    • Artificial Intelligence

    これを引用

    Bao, S., Yanagisawa, M., & Togawa, N. (2019). Personalized Landmark Recommendation for Language-Specific Users by Open Data Mining. : Studies in Computational Intelligence (pp. 107-121). (Studies in Computational Intelligence; 巻数 791). Springer-Verlag. https://doi.org/10.1007/978-3-319-98693-7_8