The invention provides a music recommendation algorithm based on content and user history, belonging to multimedia analysis technology field. The recommendation algorithm comprises: using a piece of music which is appointed by the user as interested music as input of the recommendation algorithm, calculating recommendation probability u (i, j) of other music relative to the user input by utilizing a recommendation algorithm based on cooperation to analysis user history, wherein the user history is music appreciated by the user in the past; calculating similarity s (i, j) between each piece of music and the user input music by utilizing a spatial distance relation of characteristics according to three music characteristics; calculating importance g (i, j) of other pieces of music relative to the user input music by utilizing characteristic vector centrality in a graph based analysis method to analysis music network;determining weight relationship among the recommendation algorithm based on cooperation, similarity analysis algorithm and analysis algorithm based on characteristic vector centrality; and calculating final recommendation probability of each piece of music by fusing the three algorithms. The music recommendation algorithm provided in the invention saves time and energy of users and solves appreciation preference problem of users.