In order to improve the efficiency and accuracy of news recommendation and reduce the repeated recommendation of similar content, through the research of user behavior and the analysis of user's news browsing behavior log, a news recommendation algorithm with Markov algorithm as the main algorithm is adopted. The algorithm is supplemented by the collaborative filtering algorithm and the content-based recommendation algorithm to establish a Markov model, thus realizing the application in intelligent news recommendation. Test results show that, compared with the traditional recommendation algorithm, the algorithm significantly improves the accuracy and execution efficiency, and its function is more intelligent.