Research on News Recommendation Algorithm Based on Deep Learning

With the rapid development of Internet technology, the problem of news information overload is becoming increasingly serious. How to efficiently filter out the news that users are interested in has become a current research hotspot. This article mainly discusses the news recommendation algorithm based on deep learning, and constructs an efficient recommendation model by analyzing user behavior data and news content. Research has found that deep learning techniques can significantly improve the accuracy of news recommendations and user satisfaction. This article provides a detailed introduction to the development history of news recommendation systems, the limitations of traditional recommendation algorithms, and the advantages of applying deep learning in news recommendation. In addition, this article also compares and analyzes various deep learning based news recommendation algorithms, and looks forward to future research directions.