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https://ceur-ws.org/Vol-1679/preface.pdf
Proceedings of the
Joint Workshop on
Interfaces and Human Decision Making
for Recommender Systems
September 16, 2016
In conjunction with the
10th ACM Conference on Recommender Systems
Boston, MA, USA
Edited by
Peter Brusilovsky, Alexander Felfernig, Pasquale Lops,
John O’Donovan, Giovanni Semeraro, Nava Tintarev,
Martijn C. Willemsen
Copyright © 2016 for the individual papers by the papers’ authors. Copying permitted for private
and academic purposes. This volume is published and copyrighted by its editors.
Preface
As an interactive intelligent system, recommender systems are developed to give recommendations that
match users’ 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. This workshop will focus on the aspect of integrating different theories of human decision
making into the construction of recommender systems. It will focus particularly on the impact of
interfaces on decision support and overall satisfaction.
The aim of the workshop is to bring together researchers and practitioners around the topics of 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.
This workshop aims at establishing an interdisciplinary community with a focus on the interface design
issues for recommender systems and promoting the collaboration opportunities between researchers and
practitioners.
The workshop consists of a mix of nine presentations of papers in which results of ongoing research as
reported in these proceedings are presented and one invited talk by Bart P. Knijnenburg on “User-Tailored
Privacy for Interactive Recommender Systems”. The workshop is closed by a final discussion session.
We thank all PC members, our keynote speakers, as well as authors of accepted papers for making IntRS
2016 possible. We hope you will enjoy the workshop!
Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O’Donovan, Giovanni Semeraro,
Nava Tintarev, Martijn C. Willemsen
September 2016
Organizing Committee
Workshop Co-Chairs
Peter Brusilovsky, School of Information Sciences, University of Pittsburgh, USA
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
Giovanni Semeraro, Dept. of Computer Science, University of Bari “Aldo Moro”, Italy
Nava Tintarev, Bournemouth University, UK
Martijn C. Willemsen, Eindhoven University of Technology, The Netherlands
Program Committee
Robin Burke, DePaul University
Li Chen, Hong Kong Baptist University
Jaegul Choo, Korea University
Marco de Gemmis, University of Bari “Aldo Moro”
Michael Ekstrand, Dept. of Computer Science, Texas State University
Gerhard Friedrich, Alpen-Adria-Universitaet Klagenfurt
Franca Garzotto, Polimi
Mouzhi Ge, Universitaet der Bundeswehr Munich
Sergiu Gordea, AIT
Dietmar Jannach, TU Dortmund
Aigul Kaskina, University of Fribourg
Bart Knijnenburg, Clemson University
Fedelucio Narducci, University of Bari “Aldo Moro”
Denis Parra, Pontificia Universidad Catolica de Chile
Francesco Ricci, Free University of Bozen-Bolzano
Olga C. Santos, aDeNu Research Group (UNED)
Christin Seifert, Uni Passau
Luis Terán, University of Fribourg
Juha Tiihonen, University of Helsinki
Marko Tkalcic, Free University of Bolzano
Christoph Trattner, KMI, TU-Graz
Katrien Verbert, KU Leuven
Markus Zanker, Free University of Bolzano
Table of Contents
Invited presentation
User-Tailored Privacy for Interactive Recommender Systems
Bart P. Knijnenburg 1
Accepted papers
Investigating Mere-Presence Effects of Recommendations on the Consumer
Choice Process
Sören Köcher, Dietmar Jannach, Michael Jugovac, Hartmut H. Holzmüller 2
Estimating Party-user Similarity in Voting Advice Applications using Hidden
Markov Models
Marilena Agathokleous, Nicolas Tsapatsoulis, Constantinos Djouvas 6
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley, Jingjing Zhang 14
Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference
Elicitation?
Mark Graus, Martijn C. Willemsen 22
Scalable Exploration of Relevance Prospects to Support Decision Making
Katrien Verbert, Karsten Seipp, Chen He, Denis Parra, Chirayu Wongchokprasitti,
Peter Brusilovsky 28
Complements and Substitutes in Product Recommendations: The Differential
Effects on Consumers’ Willingness-to-pay
Mingyue Zhang, Jesse Bockstedt 36
DiRec: A Distributed User Interface Video Recommender
Wessam Abdrabo, Wolfgang Wörndl 44
Learning User’s Preferred Household Organization via Collaborative Filtering
Methods
Stephen Brawner, Michael L. Littman 48
A Cross-Cultural Analysis of Explanations for Product Reviews
John O’Donovan, Shinsuke Nakajima, Tobias Höllerer, Mayumi Ueda,
Yuuki Matsunami, Byungkyu Kang 55