Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

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Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors. 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, and on ways to compare and evaluate novel techniques and applications in this area. 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 ten presentations of papers in which results of ongoing research as reported in these proceedings are presented and one invited talk by Anthony Jameson presenting “Recommender Systems Seen Through the Lens of Choice

Architecture”. The workshop is closed by a final discussion session.

John O’Donovan, Alexander Felfernig,

Giovanni Semeraro and Pasquale Lops

Nava

Tintarev,

Peter

Brusilovsky,

Organizing Committee

Workshop Co-Chairs

John O’Donovan, University of California, Santa Barbara, USA

Alexander Felfernig, Graz University of Technology, Austria

Nava Tintarev, University of Aberdeen, UK

Peter Brusilovsky, University of Pittsburgh, USA

Giovanni Semeraro, University of Bari "Aldo Moro", Italy

Pasquale Lops, University of Bari "Aldo Moro", Italy

Program Committee

Robin Burke, DePaul University, USA

Jaegul Choo, College of Informatics, Korea University, South Korea

Marco De Gemmis, Dipartimento di Informatica – University of Bari, Italy

Jill Freyne, CSIRO, Australia

Gerhard Friedrich, Alpen-Adria-Universitaet Klagenfurt, Austria

Sergiu Gordea, AIT Austria

Dietmar Jannach, TU Dortmund, Germany

Bart Knijnenburg, University of California, Irvine, USA

Henry Lieberman, MIT, USA

Gerald Ninaus, TU Graz, Austria

Denis Parra, Pontificia Universidad Catolica de Chile, Chile

Christin Seifert, Uni Passau, Germany

Christoph Trattner, Know Center, Austria and NTNU, Norway

Jesse Vig, University of Minnesota, USA

Martijn Willemsen, Eindhoven University of Technology, Netherlands

Markus Zanker, Alpen-Adria-Universität Klagenfurt, Austria

Invited presentation 1 2 9 13 21 29 41 45 49 Recommender Systems Seen Through the Lens of Choice Architecture Anthony Jameson Accepted papers Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems Matthias Braunhofer, Ignacio Fernández-Tobías, Francesco Ricci Fostering Knowledge Exchange Using Group Recommendations Alexander Felfernig, Martin Stettinger, Gerhard Leitner Explaining contextual recommendations: Interaction design study and prototype implementation Joanna Misztal, Bipin Indurkhya Inspection Mechanisms for Community-based Content Discovery in Microblogs Nava Tintarev, Byungkyu Kang, Tobias Höllerer, John O’Donovan

References