skip to main content
10.1145/2809563.2809616acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesi-knowConference Proceedingsconference-collections
demonstration

Smart booking without looking: providing hotel recommendations in the TripRebel portal

Published:21 October 2015Publication History

ABSTRACT

In this paper, we present a scalable hotel recommender system for TripRebel, a new online booking portal. On the basis of the open-source enterprise search platform Apache Solr, we developed a system architecture with Web-based services to interact with indexed data at large scale as well as to provide hotel recommendations using various state-of-the-art recommender algorithms. We demonstrate the efficiency of our system directly using the live TripRebel portal where, in its current state, hotel alternatives for a given hotel are calculated based on data gathered from the Expedia Affiliate Network (EAN).

References

  1. M. Balabanović and Y. Shoham. Fab: content-based, collaborative recommendation. Communication of ACM, 40(3):66--72, Mar. 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. S. Bostandjiev, J. O'Donovan, and T. Höllerer. Tasteweights: A visual interactive hybrid recommender system. In Proc. of RecSys '12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. R. Burke. Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction, 12(4):331--370, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. P. Cremonesi, F. Garzotto, and M. Quadrana. Evaluating top-n recommendations "when the best are gone". In Proc. of RecSys '13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. M. Jamali and M. Ester. A matrix factorization technique with trust propagation for recommendation in social networks. In Proc. of RecSys '10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. E. Lacic, D. Kowald, D. Parra, M. Kahr, and C. Trattner. Towards a scalable social recommender engine for online marketplaces: The case of apache solr. In Proc. of WWW '14, pages 817--822, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. E. Lacic, D. Kowald, and C. Trattner. Socrecm: A scalable social recommender engine for online marketplaces. In Proc. of HT '14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Levi, O. Mokryn, C. Diot, and N. Taft. Finding a needle in a haystack of reviews: Cold start context-based hotel recommender system. In Proc. of RecSys '12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. H. Ma, D. Zhou, C. Liu, M. R. Lyu, and I. King. Recommender systems with social regularization. In Proc. of WSDM '11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. J. Pazzani and D. Billsus. Content-based recommendation systems. In The adaptive web, pages 325--341. Springer, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen. The adaptive web. chapter Collaborative Filtering Recommender Systems. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Smart booking without looking: providing hotel recommendations in the TripRebel portal

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      i-KNOW '15: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business
      October 2015
      314 pages
      ISBN:9781450337212
      DOI:10.1145/2809563
      • General Chairs:
      • Stefanie Lindstaedt,
      • Tobias Ley,
      • Harald Sack

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 October 2015

      Check for updates

      Qualifiers

      • demonstration

      Acceptance Rates

      i-KNOW '15 Paper Acceptance Rate25of78submissions,32%Overall Acceptance Rate77of238submissions,32%
    • Article Metrics

      • Downloads (Last 12 months)11
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader