Research on the Application of Fusion Media News Push Technology Based on Deep Learning

The rapid development of mobile Internet has made it widely used. With the wide application of mobile Internet, it has become easy to obtain news. In the news of converged media, news recommendations become very important. Ordinary push methods cannot solve the problem of push accuracy in converged news. Therefore, this paper proposes a recommendation engine based on deep learning for news feed analysis. First, artificial intelligence is used to design the recommendation engine, and the indicators are divided according to the requirements of the news feed to reduce the news push in the interfering factor. Then, the feasibility of artificial intelligence to integrate news feeds forms a news push scheme and carries out the news push results Comprehensive analysis. MATLAB simulation shows that under the condition of certain evaluation criteria, the recommendation engine based on deep learning is feasible for fusion news feed The accuracy of news feed is better than that of ordinary push methods.