MOVIE RECOMMENDATION BASED ON HUMAN EMOTION USING CNN

Abstract

Emotion plays a vital role in human’s action. Humans highly influenced by movie and music they listen and watch. During this pandemic time, video has become popular and dominant medium and especially OTT (Over the top) service has seen an exponential a growing activity and many companies are now focusing on trying to focus on this field. In past few years, there is much improvement of new techniques to gather real time emotions. In this Paper, Tried to provide the System design model by which recommendation system can be improved on the basis of human emotions to provide dynamic content recommendation to the user. By capturing real-time emotion using deep neural network technique and combining traditional Content- based recommendation we will recommend the list of movies to user. For this implementation we used python to demonstrate its working. Our approach is trying to overcome problem in existing method.