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DubLet: An Online CBR System for Rental Property Recommendation

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Case-Based Reasoning Research and Development (ICCBR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2080))

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Abstract

Searching for accommodation in Dublin’s fast-moving rental market can be a difficult and frustrating process. Ideally, the accommodation seeker would have access to a support system that could consolidate available rental information, recommend suitable properties, and always be at hand with the most current information. This paper describes the fully implemented DubLet system to provide just such support. DubLet is an application that employs core CBR methods to recommend rental properties drawn from a number of online sources using Information Extraction techniques. User interaction is provided both via web-browser and via WAP mobile phone. The paper gives an overview of the DubLet system implementation, presents an evaluation of the extraction and recommendation methods, and describes future system directions.

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Author information

Authors and Affiliations

  1. Smart Media Institute, Department of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland

    Gareth Hurley & David C. Wilson

Authors
  1. Gareth Hurley
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  2. David C. Wilson
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Editor information

Editors and Affiliations

  1. Naval Research Laboratory, Code 5510, Navy Center for Applied Research in Artificial Intelligence, 4555 OverlookAvenue, SW, Washington, DC, 20375, USA

    David W. Aha

  2. Computer Science Department, University of Auckland, Private Bag 92019, Auckland 1, New Zealand

    Ian Watson

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© 2001 Springer-Verlag Berlin Heidelberg

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Hurley, G., Wilson, D.C. (2001). DubLet: An Online CBR System for Rental Property Recommendation. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2001. Lecture Notes in Computer Science(), vol 2080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44593-5_47

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  • DOI: https://doi.org/10.1007/3-540-44593-5_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42358-4

  • Online ISBN: 978-3-540-44593-7

  • eBook Packages: Springer Book Archive

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