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Diverse Product Recommendations Using an Expressive Language for Case Retrieval

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Advances in Case-Based Reasoning (ECCBR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2416))

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Abstract

We describe Order-Based Retrieval, which is an approach to case retrieval based on the application of partial orders to the case base. We argue that it is well-suited to product recommender applications because, as well as retrieving products that best match customer-specified ‘ideal’ attribute-values, it also: allows the customer to specify soft constraints; gives a natural semantics and implementation to tweaks; and delivers an inherently diverse result set.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University College, Cork

    Derek Bridge & Alex Ferguson

Authors
  1. Derek Bridge
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  2. Alex Ferguson
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Editor information

Editors and Affiliations

  1. School of Computing, The Robert Gordon University, St. Andrew Street, Aberdeen, AB25 1HG, Scotland, UK

    Susan Craw

  2. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3UE, Scotland, UK

    Alun Preece

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© 2002 Springer-Verlag Berlin Heidelberg

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Bridge, D., Ferguson, A. (2002). Diverse Product Recommendations Using an Expressive Language for Case Retrieval. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_5

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  • DOI: https://doi.org/10.1007/3-540-46119-1_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44109-0

  • Online ISBN: 978-3-540-46119-7

  • eBook Packages: Springer Book Archive

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