Vol-2450
urn:nbn:de:0074-2450-3

Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

IntRS 2019
Interfaces and Human Decision Making for Recommender Systems 2019

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.

Edited by

Peter Brusilovsky *
Marco de Gemmis
Alexander Felfernig *
Pasquale Lops
John O’Donovan
Giovanni Semeraro
Martijn C. Willemsen *****

* University of Pittsburgh, School of Information Sciences, Pittsburgh, USA
** University of Bari Aldo Moro, Department of Computer Science, Bari, Italy
*** Graz University of Technology, Institute for Software Technology, Graz, Austria
**** University of California Santa Barbara, Department of Computer Science, Santa Barbara, USA
***** Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Eindhoven, The Netherlands

Preface

Long Papers

How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems 1-9
Sophia Hadash, Yu Liang, Martijn C. Willemsen
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains 10-18
Martijn Millecamp, Sidra Naveed, Katrien Verbert, Jürgen Ziegler
Designing for Serendipity in a University Course Recommendation System 19-27
Zach Pardos, Weijie Jiang
Using Facial Recognition Services as Implicit Feedback for Recommenders 28-35
Stoon De Pessemier, Ine Coppens, Luc Martens
Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems 36-45
Yuri Nakao, Takuya Ohwa, Kotaro Ohori
Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design 46-54
Katja Herrmanny, Simone Löppenberg, Michael Schwarz

Short Papers

Spotivibes: Tagging Playlist Vibes with Colors 55-59
Hiba Abderrazik, Giovan Angela, Hans Brouwer, Henky Janse, Sterre Lutz, Gwennan Smitskamp, Sandy Manolios, Cynthia C. S. Liem
Visualizing Ratings in Recommender System Datasets 60-64
Diego Monti, Giuseppe Rizzo, Maurizio Morisio
The Effectiveness of Advice Solicitation and Social Peers in an Energy Recommender System 65-71
Alain Starke
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features 72-76
Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
Does the User Have A Theory of the Recommender? A Pilot Study 77-85
Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell Hamed Qahri-Saremi, Bamshad Mobasher

2019-09-17: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
2019-09-22: published on CEUR-WS.org |valid HTML5|

IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019

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)