Workshop on Human Decision Making in Recommender Systems

This workshop is focusing on the aspect of integrating different theories of human decision making into the construction of recommender systems. Topics of interest include but are not limited to:

  • Decision theories in recommender systems (e.g., priming, framing, and decoy effects)
  • Preference detection (e.g., eye tracking for automated preference detection)
  • The role of emotions in recommender systems (e.g., emotion‐ware recommendation)
  • Trust inspiring recommendation (e.g., explanation‐aware recommendation)
  • Persuasive recommendation (e.g., argumentation‐aware recommendation)
  • Cultural differences (e.g., culture‐aware recommendation)
  • Mechanisms for effective group decision making (e.g., group recommendation heuristics)
  • User interfaces for group decision making (e.g., group decision making in e‐tourism)
  • Decision theories for effective group decision making (e.g., hidden profile management)
  • Detection and avoidance of decision biases (e.g., in item presentations)
  • User interfaces for decision making (e.g., decision strategies and user ratings)
  • Critiquing‐based recommender systems
  • Knowledge‐based recommender systems
  • Empirical studies
  • Applications
Workshop Date

Oct 12, 2013 (08:30 – 18:00)



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