Relating personality types with user preferences in multiple entertainment domains

Cantador Gutiérrez, Iván; Fernández-Tobías, Ignacio; Bellogin Kouki, Alejandro

UAM_Biblioteca

Author

Cantador Gutiérrez, Iván

; Fernández-Tobías, Ignacio; Bellogin Kouki, Alejandro

Entity

UAM. Departamento de Ingeniería Informática

Publisher

Shlomo Berkovsky; Eelco Herder; Pasquale Lops; Olga C. Santos

Date

2013

Citation

UMAP 2013: Extended Proceedings Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization. Ed. Shlomo Berkovsky, Eelco Herder, Pasquale Lops, Olga C. Santos. CEUR Workshop Proceedings, Volumen 997, 2013

ISSN

1613-0073

Funded by

This work was supported by the Spanish Government (TIN2011-28538-C02) and the Regional Government of Madrid (S2009TIC-1542). The authors sincerely thank the members of myPersonality project for their kind attention and help on downloading and processing the provided data.

Project

Comunidad de Madrid. S2009/TIC-1542/MA2VICMR

Editor's Version

http://ceur-ws.org/Vol-997/

Subjects

Types of personality; User profiles; Personalization; Cross domains; Informática

URI

http://hdl.handle.net/10486/665398

Note

Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization, UMAP 2013

Rights

Abstract

We present a preliminary study on the relations between personality types and user preferences in multiple entertainment domains, namely movies, TV shows, music, and books. We analyze a total of 53,226 Facebook user profiles composed of both personality scores (openness, conscientiousness, extraversion, agreeableness, neuroticism) from the Five Factor model, and explicit interests about 16 genres in each of the above domains. As a result of our analysis, we extract personality-based user stereotypes and association rules for some of the considered domain genres, and infer similarities of personality types related to genres in different domains.

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