Berardina de Carolis 10th ACM Conference on Recommender Systems (RecSys 2016)
edited by
Marko Tkalčič in conjunction with
Preface This volume contains the papers presented at the 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE), hold as part of the 10th ACM Conference on Recommender System (RecSys), in Boston, MA, USA.
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.
The EMPIRE workshop focuses on the usage of psychologically-based constructs, such as emotions and personality, in delivering personalized content. The 9 (5 long, 4 short) technical papers included in the proceedings were selected through a rigorous reviewing process, where each paper was reviewed by three PC members.
The EMPIRE chairs would like to thank the RecSys workshop chairs, Elizabeth Daly and Dietmar Jannach, for their guidance during the workshop organization. We also wish to thank all authors and all workshops participants for fruitful discussions, the members of the program committee and the external reviewers. All of them secured the workshop’s high quality standards.
Berardina de Carolis Marco de Gemmis
Andrej Košir EMPIRE 2016 Workshop Organization
Marko Tkalčič, Free University of Bozen-Bolzano, Italy Berardina De Carolis, University of Bari Aldo Moro, Italy Marco de Gemmis, University of Bari Aldo Moro, Italy Andrej Košir, University of Ljubljana, Slovenia
Marco de Gemmis, University of Bari Aldo Moro, Italy
Marko Tkalčič, Free University of Bozen-Bolzano, Italy
Muhammad Anwar Investigating the Role of Personality Traits and Influence Strategies on the Persuasive Effect of Personalized Recommendations Sofia Gkika, Marianna Skiada, George Lekakos, Panos Kourouthanassis Personality in Computational Advertising: A Benchmark
Emotion Elicitation in Socially Intelligent Services: the Intelligent Typing Tutor Study Case 26-33 Andrej Košir, Marko Meža, Janja Košir, Matija Svetina, Gregor Strle Eliciting Emotions in Design of Games – a Theory Driven Approach Alessandro Canossa, Jeremy Badler, Magy Seif El-Nasr, Eric Anderson
Short Papers The Influence of Users’ Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists Bruce Ferwerda, Mark Graus, Andreu Vall, Marko Tkalčič, Markus Schedl A Jungian based framework for Artificial Personality Synthesis
A Comparative Analysis of Personality-Based Music Recommender Systems Melissa Onori, Alessandro Micarelli, Giuseppe Sansonetti Recommender System Incorporating User Personality Profile through Analysis of Written Reviews Peter Potash, Anna Rumshisky 1-8 9-17 18-25 34-42 43-47 48-54 55-59 60-66