List of accepted papers

  • Using facial recognition services as implicit feedback for recommenders
    Toon De Pessemier, Ine Coppens and Luc Martens
  • Visualizing Ratings in Recommender System Datasets
    Diego Monti, Giuseppe Rizzo and Maurizio Morisio
  • Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design
    Katja Herrmanny, Simone Löppenberg and Michael Schwarz
  • Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems
    Yuri Nakao, Takuya Ohwa and Kotaro Ohori
  • To explain or not to explain: the Effects of Personal Characteristics When Explaining Feature-based Recommendations in Different Domains
    Martijn Millecamp, Sidra Naveed, Katrien Verbert and Jürgen Ziegler
  • Does the User Have A Theory of the Recommender? A Pilot Study
    Mohammed Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi and Bamshad Mobasher
  • Designing for Serendipity in a University Course Recommendation System
    Zach Pardos and Weijie Jiang
  • How playlist evaluation compares to track evaluations in music recommender systems
    Sophia Hadash, Yu Liang and Martijn Willemsen
  • Spotivibes: Tagging Playlist Vibes With Colors
    Hiba Abderrazik, Giovan Angela, Hans Brouwer, Henky Janse, Sterre Lutz, Gwennan Smitskamp, Sandy Manolios and Cynthia Liem
  • The effectiveness of advice solicitation and social peers in an energy recommender system
    Alain Starke
  • Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
    Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl and Paolo Cremonesi