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Personalized Song Recommendation System Based on Vocal Characteristics

  • Keri Qing,
  • Zhili Ni

摘要

With the rapid development of the Internet, people are enjoying the convenience and quickness brought by information sharing. However, in the face of the continuous rise of the amount of information, people are facing the problem of unable to carry out information retrieval quickly and accurately. It is in this case that Google and Baidu search have been recognized by users and developed rapidly, becoming the world's top IT companies. Although search engines can be used to retrieve Internet information, the search results are often not targeted because they can not accurately obtain users’ interests and preferences. Personalized services for different users are the needs of customers. Users listen to music on the Internet, facing thousands of music information, it is difficult to find their favorite music. Therefore, how to recommend music for different users has always been the focus of research and development of Internet enterprises. Personalized recommendation system came into being under this background.