Workshop on human decision making in recommender systems: decisions@RecSys'13

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

  • Affiliations:
  • Hong Kong Baptist University, Hong Kong, Hong Kong;University of Bari Aldo Moro, Bari, Italy;Graz University of Technology, Graz, Austria;University of Bari Aldo Moro, Bari, Italy;Free University of Bozen-Bolzano, Bolzano, Italy;University of Bari Aldo Moro, Bari, Italy;Eindhoven University of Technology, Eindhoven, Netherlands

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

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Abstract

A primary function of recommender systems is to help their users to make better choices and decisions. The overall goal of the workshop is to analyse and discuss novel techniques and approaches for supporting effective and efficient human decision making in different types of recommendation scenarios. The submitted papers discuss a wide range of topics from core algorithmic issues to the management of the human computer interaction.