Enhancement of VR Movie Experience Effect Based on Collaborative Filtering Algorithm

Virtual reality, as a medium that combines computer technology, imaging technology, and human-computer interaction technology, not only brings a new interactive narrative method to the evolution of media, but also brings new communication methods to the era of text transformation. This paper discusses the types of VR movies and the classification of collaborative filtering recommendation algorithms, analyzes the impact of VR technology on movie propagation and its application in the field of movie video, puts forward the problems of collaborative filtering algorithm, and verifies the performance of collaborative filtering law (UIDFT) on MovieLens dataset. The results indicate that the UIDFT algorithm has higher prediction level and recommendation quality, and can provide users with high-quality recommendations.