Design and implementation of preference-based search

  • Authors:
  • Paolo Viappiani;Boi Faltings

  • Affiliations:
  • Artificial Intelligence Laboratory (LIA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland;Artificial Intelligence Laboratory (LIA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  • Venue:
  • WISE'06 Proceedings of the 7th international conference on Web Information Systems
  • Year:
  • 2006

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Abstract

Preference-based search is the problem of finding an item that matches best with a user's preferences. User studies show that example-based tools for preference-based search can achieve significantly higher accuracy when they are complemented with suggestions chosen to inform users about the available choices. We present FlatFinder, an implementation of an example-based tool and discuss how such a tool as well as suggestions can be efficiently implemented even for large product databases.