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

Published: 21 October 2015 Publication 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).

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    Published In

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    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
    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 October 2015

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    Author Tags

    1. Apache Solr
    2. Expedia
    3. TripRebel
    4. collaborative filtering
    5. hotel recommendations
    6. scalable recommender framework

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    i-KNOW '15 Paper Acceptance Rate 25 of 78 submissions, 32%;
    Overall Acceptance Rate 77 of 238 submissions, 32%

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