A multinomial probabilistic model for movie genre predictions [article]

Eric Makita, Artem Lenskiy
2016 arXiv   pre-print
This paper proposes a movie genre-prediction based on multinomial probability model. To the best of our knowledge, this problem has not been addressed yet in the field of recommender system. The prediction of a movie genre has many practical applications including complementing the items categories given by experts and providing a surprise effect in the recommendations given to a user. We employ mulitnomial event model to estimate a likelihood of a movie given genre and the Bayes rule to
more » ... e the posterior probability of a genre given a movie. Experiments with the MovieLens dataset validate our approach. We achieved 70% prediction rate using only 15% of the whole set for training.
arXiv:1603.07849v1 fatcat:m6jc42s6vffyjhwesod3v6yanm