  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).
