Interfaces and Human Decision Making for Recommender Systems

As an interactive intelligent system, recommender systems are developed to suggest items that match users’ preferences. Since the emergence of recommender systems, a large majority of research has focused on objective accuracy criteria and less attention has been paid to how users interact with the system and the efficacy of interface designs from users’ perspectives. The field has reached a point where it ready to look beyond algorithms, into users’ interactions, decision making processes and overall experience.

This workshop focuses on integrating different theories of human decision making into the construction of recommender systems. This year it will focus particularly on the impact of interfaces on decision support and overall satisfaction.

  • Nava Tintarev, University Of Aberdeen, UK
  • John O’Donovan, University of California, Santa Barbara, USA
  • Peter Brusilovsky, University of Pittsburgh, USA
  • Alexander Felfernig, Graz University of Technology, Austria
  • Giovanni Semeraro, University of Bari Aldo Moro, Italy
  • Pasquale Lops, University of Bari Aldo Moro, Italy
Workshop Date

Oct 6, 9.00 – 17.30


Marco Polo Room

Web site

Diamond Supporters
Platinum Supporters
Gold Supporters
Silver Supporter