You Are What You Eat... Listen to, Watch, and Read
This work addresses the cold-start problem in recommendation systems by providing a data-driven method to relate personality to preferences, though it is incremental as it confirms previous findings.
The paper tackled the problem of linking personality to media preferences by analyzing 1,316 OkCupid profiles, finding correlations such as intuitive thinking types preferring sci-fi/fantasy and extraversion correlating with upbeat dance music.
This article describes a data driven method for deriving the relationship between personality and media preferences. A qunatifiable representation of such a relationship can be leveraged for use in recommendation systems and ameliorate the "cold start" problem. Here, the data is comprised of an original collection of 1,316 Okcupid dating profiles. Of these profiles, 800 are labeled with one of 16 possible Myers-Briggs Type Indicators (MBTI). A personality specific topic model describing a person's favorite books, movies, shows, music, and food was generated using latent Dirichlet allocation (LDA). There were several significant findings, for example, intuitive thinking types preferred sci-fi/fantasy entertainment, extraversion correlated positively with upbeat dance music, and jazz, folk, and international cuisine correlated positively with those characterized by openness to experience. Many other correlations confirmed previous findings describing the relationship among personality, writing style, and personal preferences. (For complete word/personality type assocations see the Appendix).