• DocumentCode
    2495273
  • Title

    A Hotel Recommendation System Based on Collaborative Filtering and Rankboost Algorithm

  • Author

    Gao Huming ; Li Weili

  • Author_Institution
    Inf. Manage. Dept, Tianjin Univ. of Econ. & Finance, Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    A hotel recommendation system based on collaborative filtering method of clustering and Rankboost algorithm proposed in this paper, which can avoid the cold-start and scalability problems existing in traditional collaborative filtering. One can find a hotel quickly and efficiently when he uses this hotel recommendation system.
  • Keywords
    Internet; hotel industry; recommender systems; collaborative filtering method; hotel recommendation system; rankboost algorithm; Clustering algorithms; Filtering algorithms; Finance; Information filtering; Information filters; Information management; Information technology; International collaboration; Multimedia systems; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Information Technology (MMIT), 2010 Second International Conference on
  • Conference_Location
    Kaifeng
  • Print_ISBN
    978-0-7695-4008-5
  • Electronic_ISBN
    978-1-4244-6602-3
  • Type

    conf

  • DOI
    10.1109/MMIT.2010.14
  • Filename
    5474286
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2495273