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ORCIDIntRS@RecSys 2019: Copenhagen, Denmark
- Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), Copenhagen, Denmark, September 19, 2019. CEUR Workshop Proceedings 2450, CEUR-WS.org 2019
Long Papers
- Sophia Hadash, Yu Liang, Martijn C. Willemsen:
How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems. 1-9 - Martijn Millecamp, Sidra Naveed, Katrien Verbert, Jürgen Ziegler:
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains. 10-18 - Zachary A. Pardos, Weijie Jiang:
Designing for Serendipity in a University Course Recommendation System. 19-27 - Toon De Pessemier, Ine Coppens, Luc Martens:
Using Facial Recognition Services as Implicit Feedback for Recommenders. 28-35 - Yuri Nakao, Takuya Ohwa, Kotaro Ohori:
Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems. 36-45 - Katja Herrmanny, Simone Löppenberg, Michael Schwarz:
Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design. 46-54
Short Papers
- Hiba Abderrazik, Giovan Angela, Hans Brouwer, Henky Janse, Sterre Lutz, Gwennan Smitskamp, Sandy Manolios, Cynthia C. S. Liem:
Spotivibes: Tagging Playlist Vibes with Colors. 55-59 - Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Visualizing Ratings in Recommender System Datasets. 60-64 - Alain Starke:
The Effectiveness of Advice Solicitation and Social Peers in an Energy Recommender System. 65-71 - Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi:
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. 72-76 - Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
Does the User Have A Theory of the Recommender? A Pilot Study. 77-85
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