Relating Personality Types with User Preferences in Multiple Entertainment Domains
نویسندگان
چکیده
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.
منابع مشابه
Listening, watching, and reading: the structure and correlates of entertainment preferences.
People spend considerable amounts of time and money listening to music, watching TV and movies, and reading books and magazines, yet almost no attention in psychology has been devoted to understanding individual differences in preferences for such entertainment. The present research was designed to examine the structure and correlates of entertainment genre preferences. Analyses of the genre pr...
متن کاملOn the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering
We present a study comparing collaborative filtering methods enhanced with user personality traits and cross-domain ratings in multiple domains on a relatively large dataset. We show that incorporating additional ratings from source domains allows improving the accuracy of recommendations in a different target domain, and that in certain cases, it is better to enrich user models with both cross...
متن کاملPersonality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data
In this paper we investigate the incorporation of information about the users’ personality into a number of collaborative filtering methods, aiming to address situations of user preference scarcity. Through empirical experiments on a multi-domain dataset obtained from Facebook, we show that the proposed personality-aware collaborative filtering methods effectively –and consistently in the studi...
متن کاملExploring Personality and Game Preferences in the Younger and Older Population: A Pilot Study
Aim Engagement in gamified applications can be increased by effectively meeting end-user preferences for game content. To design this tailored content insight in user preferences is necessary, obtained from user classification models. This pilot study aims to explore the hypothesised relation between personality traits and preference for game characteristics that is the basis for a new user cla...
متن کاملUser Profiling in Intelligent Tutoring Systems Based on Myers-Briggs Personality Types
This paper is the result of research continuance on adaptive user profiling, based on learning predispositions. As the psychometric conditions appear to play a crucial role in the tutoring systems, there emerges a need of constructing efficient instruments, that would help to improve the effectiveness of electronic teaching. It particularly concerns user profiling, grounded on the premises deri...
متن کامل