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Marko Tkalcic <[log in to unmask]>
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Marko Tkalcic <[log in to unmask]>
Tue, 17 May 2016 10:17:25 +0200
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EMPIRE 2016 - 4th Workshop on "Emotions and Personality in Personalized 

in conjunction with the 10th ACM Recommender Systems Conference
Boston, MA, USA from Sept 15-19, 2016.


The RecSys research community has done a tremendous job in the last 
decade on exploiting various data sources to improve recommendations of 
all kind through sophisticated algorithms. The workshop complements 
these core RecSys activities by pushing the agenda of taking into 
account user-centric aspects, such as emotions and personality, into the 
RecSys framework.

In fact, personality and emotions shape our daily lives by having a 
strong influence on our preferences, decisions and behaviour in general. 
In recent years, emotions and personality have shown to play an 
important role in various aspects of recommender systems, such as 
implicit feedback, contextual information, affective content labeling, 
cold-start problem, diversity, cross-domain recommendations, group 
recommendations etc.

With the development of robust techniques for the unobtrusive 
acquisition of emotions (e.g. from various modalities, such as video or 
physiological sensors) and personality (e.g. from social media) the time 
is right to take advantage of these possibilities to collect massive 
datasets and improve recommender systems.

The workshop has been successful in the past with spin-off publications, 
such as an edited Springer volume ( ), two special issues in 
the UMUAI journal ( ) and a 
focus section in the IxD&A journal ( 
). This edition is collaborating with the journal Computers 
(, which is covered by the 
Emerging Sources Citation Index (ESCI-Web of Science).

The topics include but are not limited to:
- usage of affect to improve personalized systems
- usage of personality to improve personalized systems
- implicit detection of affect for personalized systems
- implicit detection of personality for personalized systems
- computational models of emotion and personality
- affect and personality as contextual factors
- affect as implicit feedback
- affect and personality in cross domain recommenders
- affect and personality as user/item similarities
- affect and personality-based evaluation methods
- affect and personality in applications (e.g. movie recommenders, music 
recommenders, e-learning, people-to-people recommenders etc.)
- affect and personality with human decision making
- affect and personality in group recommenders
- affect and personality for the cold-start problem
- privacy aspects of the usage of affect and personality in personalized 
- affect and personality in connection to social media

We accept three kinds of submissions:
(i) long technical papers (up to 12 pages)
(ii) short technical papers (up to 8 pages)
(iii) white papers/position statements (up to 8 pages)

Submissions should be done through the easychair conference system:

and must adhere to the new ACM SIG Proceedings format. You can download 
the Word and Latex templates here:

All the submissions will be peer-reviewed. The reviewing process will be 
double-blind so the authors should remove the author names (or any other 
traces that might reveal the authorship, such as affiliations, 
acknowledgment of sponsors, direct references to previous work etc.) 
from the submission.

The accepted papers will be published in a CEUR-WS volume.

Paper Submission Deadline: 24. June, 2016
Notification to Authors: 15. July, 2016
Camera-ready Submission Deadline: 22. July, 2016
Workshop Day: 15. September, 2016

Marko Tkalčič, Johannes Kepler University Linz, Austria
Berardina De Carolis, University of Bari Aldo Moro, Italy
Marco de Gemmis, University of Bari Aldo Moro, Italy
Andrej Košir, University of Ljubljana, Slovenia

Ioannis Arapakis, Eurecat
Matthias Braunhofer, Free University of Bozen-Bolzano
Iván Cantador, Universidad Autónoma de Madrid
Fabio Celli, University of Trento
Sabine Graf, Athabasca University
Li Chen, Hong Kong Baptist University
Matt Dennis, University of Aberdeen
Mehdi Elahi, Politecnico di Milano
Bruce Ferwerda, Johannes Kepler University
Peter Knees, Johannes Kepler University
Fang Fei Kuo, University of Washington
Neal Lathia, University of Cambridge
Matija Marolt, University of Ljubljana
Fedelucio Narducci, University of Bari
Giuseppe Palestra, University of Bari
Viviana Patti, University of Turin
Matevž Pesek, University of Ljubljana, Slovenia
Marco Polignano, Università degli Studi di Bari Aldo Moro
Olga C. Santos, aDeNu Research Group (UNED)
Björn Schuller, University of Passau / Imperial College London
Giovanni Semeraro, University of Bari
Man-Kwan Shan, National Chengchi University
Yi-Hsuan Yang, Academia Sinica
Martijn Willemsen, Eindhoven University of Technology
Yong Zheng, DePaul University

Dr. Marko Tkalcic
mailto:[log in to unmask]
Skype : markotkalcic
Google Scholar:

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