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First Workshop on
Interfaces for Recommender Systems
(InterfaceRS 2012)

http://www.abdn.ac.uk/~csc284/InterfaceRS/


co-located with the
6th ACM Conference on Recommender Systems (RecSys 2012)

September 13, 2012, Dublin, Ireland


Preface

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' perspective. Well-designed user interfaces have the
capability of enhancing user interaction experience and overall satisfaction. For example, explanation
interfaces can increase user confidence in their decision choices and inspire user trust and loyalty to
the used system. Nowadays, a variety of novel recommendation technologies have been developed to
meet different needs (e.g., group and social recommenders). Recommender systems have also
extended to new application platforms (e.g., mobile devices). In addition, heterogeneous information
resources have been incorporated into recommender systems (e.g., psychological factors, social
media). This brings forward new challenges in designing effective and efficient interfaces for these
new recommender applications.

This half-day workshop brought 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 aimed to create an
interdisciplinary community with a focus on the interface design issues for recommender systems and
promoting the collaboration opportunities between researchers and practitioners.

The papers in this volume discuss the following three key issues:

   •   Visualization and exploration in large and multi-dimensional datasets

   •   Emotional transferal in recommendations

   •   Social aspects of interfaces

The paper “TopicLens: An Interactive Recommender System based on Topical and Social
Connections” looks at visualization of data sets. The authors use a river interface metaphor for
navigating topics, items as well as people in three case studies: Twitter, New York Times articles and
movies via the Facebook API. The paper “CoFeel: Using Emotions for social interaction in Group
Recommender Systems” surveys the social interaction between users, and considers how they interact
with each other using emotions in a mobile based feedback interface. The paper “Graph Embeddings


                                              37
for Movie Visualization and Recommendation” proposes a novel way of navigating and exploring a
large number of recommendations visually, using a dendogram representation. A demo of this
interface is available at: http://graph.bunchwars.com/.

We would like to thank all the authors for their submissions, our Program Committee and sub-
reviewers for their precious work.



InterfaceRS 2012 Workshop Organizing Committee

August 2012




                                              38
Workshop Co-chairs

Nava Tintarev
Dept. of Computing Science,
University Of Aberdeen,
MacRobert Bld., Room 821, Aberdeen, AB24 5UA, United Kingdom
Tel.: +44 1224 27-2839
Fax: +44 1224 27-3422
E-mail: n.tintare@abdn.ac.uk

Rong Hu
Human Computer Interaction Group
School of Computer and Communication Sciences
École Polytechnique Fédérale de Lausanne (EPFL)
EPFL SCI IC PFP, BC 145 (Bâtiment BC), Station 14, CH-1015 Lausanne, Switzerland
Tel: +41 21 693 13 27
E-mail: rong.hu@epfl.ch

Pearl Pu
Human Computer Interaction Group
School of Computer and Communication Sciences
École Polytechnique Fédérale de Lausanne (EPFL)
EPFL SCI IC PFP, BC 107 (Bâtiment BC), Station 14, CH-1015 Lausanne, Switzerland
Tel: +41 21 693 60 81
E-mail: pearl.pu@epfl.ch


Program Committee

   Li Chen, Hong Kong Baptist University, China
   Henrik Eneroth, Antrop, Sweden
   Alexander Felfernig, Graz University of Technology, Austria
   Franca Garzotto, Politecnico di Milano, Italy
   Helen Hastie, Heriot Watt University, UK
   Eelco Herder, L3S Research Center, Germany
   Alejandro Jaimes, Yahoo! Research, Spain
   Joseph Konstan, University of Minnesota, USA
   Jesse Vig, Palo Alto Research Center, USA




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