RecSys'12 workshop on human decision making in recommender systems

  • Authors:

  • Marco de Gemmis;Alexander Felfernig;Pasquale Lops;Francesco Ricci;Giovanni Semeraro;Martijn C. Willemsen

  • Affiliations:

  • University of Bari Aldo Moro, Bari, Italy;Graz University of Technology, Graz, Austria;University of Bari Aldo Moro, Bari, Italy;University of Bolzano, Bolzano, Italy;University of Bari Aldo Moro, Bari , Italy;Eindhoven University of Technology, Eindhoven , Netherlands

  • Venue:
  • Proceedings of the sixth ACM conference on Recommender systems
  • Year:
  • 2012

  • Status quo bias in configuration systems

    IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I

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Abstract

Interacting with a recommender system means to take different decisions such as selecting an item from a recommendation list, selecting a specific item feature value (e.g., camera's size, zoom) as a search criteria, selecting feedback features to be critiqued in a critiquing based recommendation session, or selecting a repair proposal for inconsistent user preferences when interacting with a knowledge-based recommender. In all these situations, users face a decision task. This workshop (Decisions@RecSys) focuses on approaches for supporting effective and efficient human decision making in different types of recommendation scenarios.