=Paper=
{{Paper
|id=Vol-1438/preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1438/preface.pdf
|volume=Vol-1438
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1438/preface.pdf</pdf>
<pre>
Proceedings of the

Joint Workshop on
Interfaces and Human Decision Making
for Recommender Systems
September 19, 2015

In conjunction with the
9th ACM Conference on Recommender Systems
Vienna, Austria



Edited by

John O’Donovan, Alexander Felfernig, Nava Tintarev,
Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops
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.
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,
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,              Nava    Tintarev,    Peter   Brusilovsky,
Giovanni Semeraro and Pasquale Lops

August 2015
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
Table of Contents
Invited presentation
Recommender Systems Seen Through the Lens of Choice Architecture
Anthony Jameson                                                                     1

Accepted papers
Parsimonious and Adaptive Contextual Information Acquisition in Recommender
Systems
Matthias Braunhofer, Ignacio Fernández-Tobías, Francesco Ricci                      2
Fostering Knowledge Exchange Using Group Recommendations
Alexander Felfernig, Martin Stettinger, Gerhard Leitner                             9
Explaining contextual recommendations: Interaction design study and prototype
implementation
Joanna Misztal, Bipin Indurkhya                                                     13
Inspection Mechanisms for Community-based Content Discovery in Microblogs
Nava Tintarev, Byungkyu Kang, Tobias Höllerer, John O’Donovan                       21
uRank: Exploring Document Recommendations through an Interactive User-Driven
Approach
Cecilia di Sciascio, Vedran Sabol, Eduardo Veas                                     29
FutureView: Enhancing Exploratory Image Search
Sayantan Hore, Dorota Glowacka, Ilkka Kosunen, Kumaripaba Athukorala, Giulio Jacucci
                                                                                   37
An Adaptive Electronic Menu System for Restaurants
Paulo Henrique Azevedo Filho, Wolfgang Wörndl                                       41
User Controlled News Recommendations
Jon Espen Ingvaldsen, Jon Atle Gulla, Özlem Özgöbek                                 45
Interaction Design in a Mobile Food Recommender System
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovski,
Massimo David                                                                        49
Recommender Systems for the People — Enhancing Personalization in Web
Augmentation
Martin Wischenbart, Sergio Firmenich, Gustavo Rossi, Manuel Wimmer                  53

</pre>