2015 Proceeding
The 3rd Workshop on Emotions and Personality in Personalized Systems (EMPIRE) is taking place in Vienna on September 19th, 2015 in conjunction with the ACM RecSys 2015 conference. The workshop focuses on the acquisition and usage of emotions and personality as user-centric aspects of personalization. The 3rd edition of the workshop features two keynote talks, 5 technical papers and a position paper.
Proceeding Downloads
Emotion-Based Movie Recommendations: How Far Can We Take This?
One of the underlying targets of movies is to evoke emotions in their viewers. When the viewers connect emotionally to a movie scenes and characters, then the watching experience naturally becomes stronger and more memorable. The importance of emotions ...
Personality in Recommender Systems
The personality-based recommender systems (RS) has emerged as a new type of RS in recent years, given that personality contains valuable information enabling systems to better understand users' preferences [7]. This presentation first gives an overview ...
A General Architecture for an Emotion-aware Content-based Recommender System
Emotions play a crucial role in the decision making process. Frequently, choices are strongly influenced by the mood of the moment, and the same person could take different decisions at different time on the same topic. Recommender systems, that are ...
Predicting Personality Traits with Instagram Pictures
Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying photo filters, users are able to create a style that they want to express to their ...
A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems
A conversational recommender system should interactively assist users in order to understand their needs and preferences and produce personalized recommendations accordingly. While traditional recommender systems use a single-shot approach, the ...
A Multimodal System for Nonverbal Human Feature Recognition in Emotional Framework
- Vitoantonio Bevilacqua,
- Leonarda Carnimeo,
- Pietro Guccione,
- Giuseppe Mastronardi,
- Antonio Emanuele Uva,
- Michele Fiorentino,
- Giuseppe Monno,
- Francescomaria Marino,
- Mariagrazia Dotoli,
- Nicola Costantino,
- Michele Dassisti,
- Nunzia Carbonara
A correct recognition of nonverbal expressions is currently one of the most important challenges of research in the field of human computer interaction. The ability to recognize human actions could change the way to interact with machines in several ...
Emotion in Consumer Simulations for the Development and Testing of Recommendations for Marketing Strategies
- Samer Schaat,
- Aleksandar Miladinović,
- Stefan Wilker,
- Stefan Kollmann,
- Stephan Dickert,
- Erdem Geveze,
- Verena Gruber
To examine the impact factors and mechanisms of the decision to switch to green electricity, we develop a socio-cognitive agent-based simulation. Following seminal research in the field of decision making we focus on emotion and social norms as core ...
Discount Sensitive Recommender System for Retail Business
User preferences for items are not the only determinant of purchase. Price promotion influences user's buying habits and changes items that are put in a basket. Such a reaction to discount depends on the user personality. In this paper, we propose a ...
Index Terms
- Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| EMPIRE '15 | 9 | 6 | 67% |
| Overall | 9 | 6 | 67% |