A multinomial probabilistic model for movie genre predictions
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 evaluate 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.
Code (1)
Tasks
modelPredictionRecommendation SystemsSimilar Papers 제목 키워드 기반
Predicting Movie Genres Based on Plot Summaries
This project explores several Machine Learning methods to predict movie genres based on plot summaries. Naive Bayes, Word2Vec+XGBoost and Recurrent Neural Networks are used for text classification, while K-binary transfo…
BIG-bench Machine LearningClassificationGeneral Classificationtext-classification+1Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
In the film industry, movie posters have been an essential part of advertising and marketing for many decades, and continue to play a vital role even today in the form of digital posters through online, social media and …
MarketingSequential Movie Genre Prediction using Average Transition Probability with Clustering
In recent movie recommendations, predicting the user's sequential behavior and suggesting the next movie to watch is one of the most important issues. However, capturing such sequential behavior is not easy because each …
ClusteringSequential RecommendationA movie genre prediction based on Multivariate Bernoulli model and genre correlations
Movie ratings play an important role both in determining the likelihood of a potential viewer to watch the movie and in reflecting the current viewer satisfaction with the movie. They are available in several sources lik…
Rethinking movie genre classification with fine-grained semantic clustering
Movie genre classification is an active research area in machine learning. However, due to the limited labels available, there can be large semantic variations between movies within a single genre definition. We expand t…
ClassificationClusteringGeneral ClassificationGenre classification