List of accepted papers

  • A Diversity Adjusting Strategy with Personality for Music Recommendation
    Feng Lu and Nava Tintarev
  • Risk “attention” or “adventure”: A Qualitative Study of Novelty and Familiarity in Music Listening
    Vikas Kumar, Joseph Konstan, Loren Terveen and Sabirat Rubya
  • Towards Explanations for Visual Recommender Systems of Artistic Images
    Vicente Domínguez, Pablo Messina, Christoph Trattner and Denis Parra
  • Assessing the Value of Transparency in RecommenderSystems: An End-User Perspective
    Eric Vorm and Andrew Miller
  • Understanding how to Explain Package Recommendations in the Clothes Domain
    Agung T Wibowo, Advaith Siddharthan, Judith Masthoff and Chenghua Lin
  • Using Visualizations to Encourage Blind-Spot Exploration
    Jayachithra Kumar and Nava Tintarev
  • Online Daters’ Willingness to Use Recommender Technology for Mate Selection Decisions
    Stephanie Tong, Elena Corriero, Robert Matheny and Jeffrey Hancock
  • MovieTweeters: An Interactive Interface to Improve Recommendation Novelty
    Ishan Ghanmode and Nava Tintarev
  • From Recommendation to Curation: When the system becomes your personal docent
    Nevena Dragovic, Ion Madrazo Azpiazu and Maria Soledad Pera
  • Affective Computing and Bandits: Capturing Context in Cold Start Situations
    Sebastian Oehme and Linus W. Dietz
  • Analysis of User Behaviour in Interfaces with Recommended Items: An Eye-tracking Study
    Peter Gaspar, Michal Kompan, Jakub Simko and Maria Bielikova
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