Music recommendation method based on Markov chain

The invention belongs to the field of computer technology recommendation, and relates to a music recommendation method based on a Markov chain. The main method provided by the method comprises the following steps of: generating a scene assembly; establishing a matching matrix of the scene assembly and a recommendation algorithm library; and updating the matching matrix in the step b by adopting the Markov chain. The music recommendation method has the beneficial effects that users and music are analyzed from different scenes, the oneness of the recommendation method of the existing music recommendation system can be overcome, the matching matrix of the scenes and the algorithm, and the updating algorithm of the matching matrix of the scenes and the algorithm based on the Markov chain are provided, and the algorithm matching problem and the real-time music recommendation problem based on the scene under scene difference can be solved. 本发明属于计算机技术推荐方法领域，涉及种基于马氏链的音乐推荐方法。本发明的主要方法包括：生成场景集合；建立场景集合与推荐算法库的匹配矩阵；采用马氏链的方