What am I gonna wear?: scenario-oriented recommendation

  • Authors:
  • Edward Shen;Henry Lieberman;Francis Lam

  • Affiliations:
  • MIT Media Laboratory, Cambridge, MA;MIT Media Laboratory, Cambridge, MA;MIT Media Laboratory, Cambridge, MA

  • Venue:
  • Proceedings of the 12th international conference on Intelligent user interfaces
  • Year:
  • 2007

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Abstract

Electronic Commerce on the Web is thriving, but consumers still have trouble finding products that will meet their needs and desires. AI has offered many kinds of Recommender Systems [11], but they are all oriented toward searching based on concrete attributes of the product (e.g. price, color) or the user (as in Collaborative Filtering). Based on commonsense reasoning technology, we introduce a novel recommendation technique, Scenario-Oriented Recommendation, which helps users by mapping their daily scenarios to product attributes, and works even when users don't know exactly what products they are looking for.