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Personality, movie preferences, and recommendations

Published: 25 August 2013 Publication History

Abstract

Personality is an important factor that influences people's decisions, actions, and tastes. While previous research has used surveys to establish a connection between personality and media preferences, to date there has been no research that connects these attributes to users' opinions of and use of recommender systems nor to their movie rating and viewing histories. In this paper, we present our results on the relationship between personality and users' movie preferences, and their opinions about, use of, and trust in recommender systems. Using surveys and analysis of system data for 73 Netflix users, we show correlations between personality and preferences for specific movie genres that replicate and extend previous results. Our most significant result is that the personality trait of Conscientious is consistently positively correlated with a higher opinion about the usefulness and trustworthiness of recommendations, self-reports of how frequently they were used, and ratings of recommended items. We discuss the implications these results have for evaluating and improving recommender systems.

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J. Golbeck. Trust and nuanced profile similarity in online social networks. ACM Transactions on the Web (TWEB), 3(4): 12, 2009.
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Jennifer Golbeck, Cristina Robles, and Karen Turner. Predicting personality with social media. In Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, CHI EA '11, pages 253--262, New York, NY, USA, 2011. ACM.
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O. P. John, E. M. Donahue, and R. L. Kentle. The big five inventoryversions 4a and 54. Berkeley: University of California, Berkeley, Institute of Personality and Social Research, 1991.
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P. J. Rentfrow and S. D. Gosling. The do re mi's of everyday life: The structure and personality correlates of music preferences. Journal of Personality and Social Psychology, 84(6): 1236--1256, 2003.

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cover image ACM Conferences
ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
August 2013
1558 pages
ISBN:9781450322409
DOI:10.1145/2492517
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 August 2013

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ASONAM '13
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ASONAM '13: Advances in Social Networks Analysis and Mining 2013
August 25 - 28, 2013
Ontario, Niagara, Canada

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Overall Acceptance Rate 116 of 549 submissions, 21%

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