A recommender system is defined simply as the software tools or systems that recommend items like products, people, and service, to people based on the opinion of other similar preferences. BIG-Five is a widely examined theory of five broad dimensions used by some psychologists to describe human personality. The aim of this study is to analyze the possibility of a movie recommending system which benefits from users BIG-Five personality scores and personal details. The obtained data about people, their BIG-Five Scores and their preferences, are then analyzed using Classification, and results are evaluated. Results confirm that there is no relation between BIG-Five personality scores and movie type preferences.
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