Emotions influence ever yday decisions. When people make decisions about movies to watch, songs to listen or even about more serious issues such as health, they perform a cognitive process that estimates which of various alternative choices would yield the most positive consequences. Indeed, this process in not totally rational because it is influenced, directly or in a subtle way by personality traits and emotions. In this paper we propose the idea of defining an affective user profile , which can act as a computational model of personality and emotions, included in a g eneral, affective-aware , recommendation framework.
A Framework for Emotion-aware Recommender Systems supporting Decision Making
POLIGNANO, MARCO
2015-01-01
Abstract
Emotions influence ever yday decisions. When people make decisions about movies to watch, songs to listen or even about more serious issues such as health, they perform a cognitive process that estimates which of various alternative choices would yield the most positive consequences. Indeed, this process in not totally rational because it is influenced, directly or in a subtle way by personality traits and emotions. In this paper we propose the idea of defining an affective user profile , which can act as a computational model of personality and emotions, included in a g eneral, affective-aware , recommendation framework.File in questo prodotto:
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