Landmark Seasonal Travel Distribution and Activity Prediction Based on Language-specific Analysis

研究成果: Conference contribution

抄録

Online media communities have globally spanned and have increasingly accelerated the development of intelligent travel recommendation systems in both academic and industrial fields. However, there is a bottleneck that differences in users' seasonal travel distributions (when to visit) in various language groups are ignored. This paper proposes a seasonal activity prediction algorithm based on user comments over the period of 2012 to 2017 in different language groups. We take the advantage of online user comments which provide visiting time for each landmark and detailed activity description. With the accumulation of 417,787 user comments on TripAdvisor for 300 landmarks in three big cities, we analyze the language-specific differences in travel distributions. After that, prediction of future travel distribution for each language group is generated. Then potential peak and off seasons of each landmark are distinguished and representative seasonal activities are extracted through comment contents for peak and off seasons, respectively. Experimental results in the three cities show that the proposed algorithm is more accurate in terms of peak season detection and seasonal activity prediction than previous studies.

本文言語English
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
編集者Yang Song, Bing Liu, Kisung Lee, Naoki Abe, Calton Pu, Mu Qiao, Nesreen Ahmed, Donald Kossmann, Jeffrey Saltz, Jiliang Tang, Jingrui He, Huan Liu, Xiaohua Hu
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3628-3637
ページ数10
ISBN(電子版)9781538650356
DOI
出版ステータスPublished - 2019 1 22
イベント2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States
継続期間: 2018 12 102018 12 13

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Conference

Conference2018 IEEE International Conference on Big Data, Big Data 2018
国/地域United States
CitySeattle
Period18/12/1018/12/13

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 情報システム

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