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https://ceur-ws.org/Vol-1884/preface.pdf
4th Joint Workshop on Interfaces and Human
Decision Making for Recommender Systems
(IntRS) 2017
Como, Italy, August 27th, 2017
Proceedings
edited by Peter Brusilovsky
Marco de Gemmis
Alexander Felfernig
Pasquale Lops
John O’Donovan
Nava Tintarev
Martijn C. Willemsen
in conjunction with
11th ACM Conference on Recommender Systems (RecSys 2017)
© 2017. Copyright for the individual papers remains with the authors. Copying permitted for private and
academic purposes. This volume is published and copyrighted by its editors.
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Preface
This volume contains the papers presented at the 4th Joint Workshop on Interfaces and Human Decision Making
for Recommender Systems (IntRS), held as part of the 11th ACM Conference on Recommender System (RecSys),
in Como, Italy.
RecSys is the premier international forum for the presentation of new research results, systems and techniques
in the broad field of recommender systems. Recommendation is a particular form of information filtering, that
exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an
end-user’s preferences. Since the emergence of recommender systems, a large majority of research focuses 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 is ready to look beyond
algorithms, into users’ interactions, decision making processes, and overall experience.
The IntRS workshop focuses on human-centred recommender system design and application. It attempts to
bring together researchers who are interested in integrating different theories of human decision making into the
design and construction of recommender systems, as well as designing and evaluating novel intelligent interfaces
for recommender systems in order to: (1) share research and techniques, including new design technologies and
evaluation methodologies, (2) identify next key challenges in the area, and (3) identify emerging topics.
The 8 technical papers included in the proceedings were selected through a rigorous reviewing process, where
each paper was reviewed by three PC members. These papers cover the themes of Interaction Mechanisms,
Visualization, Preference Elicitation, and Cognitive Factors. The workshop additionally consists of an invited talk
by Dietmar Jannach on “Interacting with Recommender Systems”, and demos.
The IntRS chairs would like to thank the RecSys workshop chairs, Giovanni Semeraro and Marko Tkalčič, for
their guidance during the workshop organization. We also wish to thank all authors and all demo presenters, and
the members of the program committee. All of them secured the workshop’s high quality standards.
July 2017
Peter Brusilovsky
Marco de Gemmis
Alexander Felfernig
Pasquale Lops
John O’Donovan
Nava Tintarev
Martijn C. Willemsen
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IntRS 2017 Workshop Organization
Chairs: Peter Brusilovsky, School of Information Sciences, University of Pittsburgh, USA
Marco de Gemmis, Dept. of Computer Science, University of Bari Aldo Moro, Italy
Alexander Felfernig, Institute for Software Technology, Graz University of
Technology, Austria
Pasquale Lops, Dept. of Computer Science, University of Bari Aldo Moro, Italy
John O’Donovan, Dept. of Computer Science, University of California, Santa Barbara
Nava Tintarev,Faculty of Electrical Eng., Mathematics and Computer Science
TU Delft, The Netherlands
Martijn C. Willemsen, Eindhoven University of Technology, The Netherlands
Proceedings Chair: Marco de Gemmis, Dept. of Computer Science, University of Bari Aldo Moro, Italy
Web Chair: Pasquale Lops, Dept. of Computer Science, University of Bari Aldo Moro, Italy
Program Committee: Robin Burke, DePaul University
Li Chen, Hong Kong Baptist University
Jaegul Choo, Korea University
Michael Ekstrand, Boise State University
Gerhard Friedrich, Alpen-Adria-Universitaet Klagenfurt
Mouzhi Ge, Universitaet der Bundeswehr Munich
Sergiu Gordea, Austrian Institute of Technology
Denis Helic, Graz University of Technology
Dietmar Jannach, TU Dortmund
Aigul Kaskina, University of Fribourg
Bart Knijnenburg, Clemson University
Fedelucio Narducci, University of Bari Aldo Moro, Italy
Denis Parra, Pontificia Universidad Catolica de Chile
Stefan Reiterer, Graz University of Technology
Olga C. Santos, aDeNu Research Group (UNED)
Christin Seifert, Uni Passau
Luis Terán, University of Fribourg
Christoph Trattner, MODUL University, Vienna
Markus Zanker, Free University of Bozen-Bolzano
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Table of Contents
Invited Talk
Interacting with Recommender Systems 1
Dietmar Jannach
Interaction Mechanisms
Enhancing an Interactive Recommendation System with Review-based Information 2
Filtering
Jan Feuerbach, Benedikt Loepp, Catalin-Mihai Barbu, Jürgen Ziegler
Enhancing Recommendation Diversity Through a Dual Recommendation Interface 10
Chun-Hua Tsai, Peter Brusilovsky
Visualization
IntersectionExplorer: the Flexibility of Multiple Perspectives 16
Bruno Cardoso, Peter Brusilovsky, Katrien Verbert
User Model Dimensions for Personalizing the Presentation of Recommendations 20
Catalin-Mihai Barbu, Jürgen Ziegler
Preference Elicitation
Rating by Ranking: An Improved Scale for Judgement-based Labels 24
Jack O’Neill, Sarah Jane Delany, Brian Mac Namee
Learning Binary Preference Relations: A Comparison of Logic-based and Statistical 30
Approaches
Nunung Nurul Qomariyah, Dimitar Kazakov
Cognitive Factors
How Do Different Levels of User Control Affect Cognitive Load and Acceptance of 35
Recommendations?
Yucheng Jin, Bruno Cardoso, Katrien Verbert
Guided Exploration of the Domain Space of Study Programs — Recommenders in 43
improving student awareness on the choices made during enrollment
Vangel V. Ajanovski
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