ReComment: towards critiquing-based recommendation with speech interaction

  • Authors:
  • Peter Grasch;Alexander Felfernig;Florian Reinfrank

  • Affiliations:
  • Graz University of Technology, Graz, Austria;Graz University of Technology, Graz, Austria;Graz University of Technology, Graz, Austria

  • Venue:
  • Proceedings of the 7th ACM conference on Recommender systems
  • Year:
  • 2013

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Abstract

In contrast to search-based approaches, critiquing-based recommender systems provide a navigation-based interface where users are enabled to critique displayed recommendations as a means of preference elicitation. In this paper we present Recomment, our approach to natural language based unit critiquing. We discuss the developed prototype and present the corresponding user interface. In order to show the applicability of our concepts, we present the results of a user study. This study shows that speech interfaces have the potential to improve the perceived ease of use as well as the overall quality of recommendations.