Research And Implementation Of Collaborative Filtering Recommendation System Based On NetEase Cloud Music

With the rapid development of information data and Internet of information technology,the use of network platform to listen to music has become a microcosm of people's daily life,but because of the complexity of song items and the lack of effective information,It is difficult for people to choose music that accords with their preferences from the Internet.With the wide circulation of Internet information technology,the recommendation system has gradually integrated into the public life and penetrated into all aspects of people's lives.However,the traditional recommendation system can not fundamentally solve the problem of inaccurate results caused by a lot of redundant information.Based on this background,this paper makes a deep analysis and research on the problems existing in the traditional recommendation algorithm.A collaborative filtering recommendation algorithm is proposed.In this paper,several personalized recommendation algorithms commonly used in the market are briefly introduced,and the collaborative filtering recommendation algorithm,which is the most frequently used personalized recommendation algorithm,is discussed.By crawling through the data of NetEase cloud users listening to music,the data of song types,names,lyrics,singers,pictures and albums are analyzed.Two models of collaborative filtering recommendation algorithm,collaborative filtering recommendation algorithm based on target user and item-based collaborative filtering recommendation algorithm,are used to recommend music that may be of interest to users in order to meet the needs of music acquisition.Finally,the similarities and differences,advantages and disadvantages of the two different models of collaborative filtering recommendation algorithms are systematically compared,and the advantages and disadvantages of the two models are obtained.the defects and problems encountered in the collaborative filtering recommendation algorithms are also summarized.The corresponding reference suggestions are put forward.