In the case of a large modern movie database, users need a recommender system to quickly and accurately find items of interest. The data of this study come from a movie video platform, using the user's movie viewing records, as well as the description and characteristics of the movie, to analyze the user's preferences, and make movie recommendations according to the user's preferences through the content-oriented recommendation method.