Research on Collaborative Recommendation Algorithm Based on Film and Television Big Data

Abstract

With the rapid development of network intelligent platform, users can download and watch network videos from different video platforms. At this time, how to master users' personal preferences and recommend video programs from mass data resources has become the focus of innovation exploration of film and television enterprises. Therefore, on the basis of understanding the collaborative filtering recommendation algorithm, this paper analyzes how to achieve accurate recommendation of film and television resources based on the improved matrix decomposition model of convolutional neural network.