Personalized one-day travel with multi-nearby-landmark recommendation

研究成果: Conference contribution

抜粋

Travel route recommendation can strongly influence users' satisfaction and the success of touristic businesses. This paper proposes a personalized travel recommendation algorithm with time planning. We use landmark categorization and region clustering to obtain effective elements. Then we build a travel map to generate all possible travel routes. Our proposed algorithm has higher precision in landmark recommendation and time planning than thoes in previous algorithms.

元の言語English
ホスト出版物のタイトル2017 IEEE 7th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017
出版者IEEE Computer Society
ページ239-242
ページ数4
2017-September
ISBN(電子版)9781509040148
DOI
出版物ステータスPublished - 2017 12 14
イベント7th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017 - Berlin, Germany
継続期間: 2017 9 32017 9 6

Other

Other7th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017
Germany
Berlin
期間17/9/317/9/6

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Media Technology

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  • これを引用

    Bao, S., Yanagisawa, M., & Togawa, N. (2017). Personalized one-day travel with multi-nearby-landmark recommendation. : 2017 IEEE 7th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017 (巻 2017-September, pp. 239-242). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2017.8210637