With the improved quality of life, people enjoy life increasingly. Film and television media play an important role in our life. People can absorb nutrition by film and television media and also achieve physical and mental relaxation. But the information on a video website that compares to other websites is ordinarily not complete. In this way, it probably cannot meet users' selection. To solve the above problem, we propose a Internet-facing information fusion algorithm for bi-source movies based on movies media. The algorithm aims to verify and fuse two pieces of data on the same movies from different websites and update the information of movies completely. In order to detect two movies accurately that their information points to the unique movie, we proposed three movie information validation algorithms (MIV) based users and content feature of movies. All of these methods can detect movies' information which needs to fuse. Finally, our experiments show that the methods we proposed generally outperforms single dimensional detection methods by different performance evaluation methods.