Recommendations with Personality Traits Extracted from Text Reviews

Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 616)

Abstract

It is well known that human reasoning and decision-making are strongly influenced by psychological aspects. Recent works explore the adoption of personality traits to provide personalized recommendations. In this article, we report experimental results obtained with implicit recognition of Big Five personality traits from users’ text reviews. Hence, we present a personality-based recommender system with the analysis of the overall users’ satisfaction regarding the list of recommended items, showing promising results.

Notes

Acknowledgments

Special thanks to our participants for their cooperation.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Politecnico di MilanoMilanoItaly

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