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Music Personalized Label Clustering and Recommendation Visualization
2021
Complexity
With the advent of big data, the performance of traditional recommendation algorithms is no longer enough to meet the demand. Most people do not leave too many comments and other data when using the application. In this case, the user data are too scattered and discrete, with obvious data sparsity problems. First, this paper describes the main ideas and methods used in current recommendation systems and summarizes the areas that need attention and consideration. Based on these algorithms and
doi:10.1155/2021/5513355
fatcat:xulzh43e5na6tcpejclnkdxk6i