Personality-based recommender systems: an overview

Authors:
Maria Augusta S.N. Nunes;Rong Hu
Affiliations:
Universidade Federal de Sergipe, São Cristovão-SE, Brazil;Swiss Federal Institute of Technology in Lausanne, Lausanne, Switzerland
Venue:
Proceedings of the sixth ACM conference on Recommender systems
Year:
2012

Citing 3
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Abstract

Personality is a critical factor which influences people's behavior and interests. There is a high potential that incorporating users' characteristics into recommender systems could enhance recommendation quality and user experience. The goal of this tutorial is to give an overview of personality-based recommender systems and discuss challenges and possible research directions in this topic.