Music recommendation method and system

Abstract

The invention relates to the field of network technologies, in particular to a music recommendation method and system. The method applied to the music recommendation system includes: receiving a music recommendation request; judging whether a user corresponding to the music recommendation request is a new user or not; if yes, acquiring behavior data of the user and / or first music resource data related to the user by at least one external means, processing the behavior data of the user and / or first music resource data related to the user acquired by at least one external means, classifying the user to acquire the level of the user according to processing results, and entering a step of recommending personal music by a recommendation method corresponding to the level according to the level of the user; if the user is not new user, acquiring the corresponding level of the user; recommending personal music by a recommendation method corresponding to the level according to the corresponding level of the user.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a music recommendation method and system. Background technique [0002] With the development of mobile Internet technology, mobile terminals provide more and more diverse applications, such as video watching, music playing, e-commerce, location information services and so on. Among them, music playing has become an important application of mobile terminals at present. However, there are a large number of music resources on the Internet. Major music websites and platforms provide users with tens of thousands of music resources. How to make mobile terminal users find the music they need conveniently requires a personalized music recommendation method. Intelligently recommend music that may be of interest to users. [0003] The music recommendation method in the prior art is usually implemented in the following way: collect the user's behavior track of listening to music, analyze...

AI Technical Summary

Problems solved by technology

[0004] However, the inventor found in the process of implementing the present invention that the method provided by the prior art has at least the following defects: the music recommendation system in the prior art recommends based on the collected user behavior records, when there is a new user , since there is no new user's behavior record in the system, it is impossible to judge the new user's interest, so it cannot effectively recommend music that the new user may like

[0005] On the other hand, in the existing technology, the same recommendation method is used for all users, which cannot achieve good recommendation results and reduces the efficiency of recommendation.

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