MUSIC RECOMMENDATION METHOD AND APPARATUS

  • US 20120136814A1
  • Filed: 04/18/2011
  • Published: 05/31/2012
  • Est. Priority Date: 11/30/2010
  • Status: Active Grant
First Claim
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1. A music recommendation method for use with a music recommendation apparatus, the method comprising:

  • obtaining the music belongingness function of music, the music belongingness function of music being is the set of granularity of music in different dimensions, wherein the dimension is the classification of music and the granularity is the classification of the dimension, and the expression of the music belongingness function is A(music, Pk)={pkj|j=1,2, . . . , n}, k=1,2, . . . m, wherein Pk is the dimension, Pkj is the granularity, m is the number of the dimensions and n is the number of the granularities in a dimension;

    obtaining the user belongingness function of a user, the user belongingness function of a user being is the set of granularity indicating likes of user in different dimensions, and the expression of the user belongingness function is A(user, Pk)={pki|i=1,2 . . . , n}, k=1,2, . . . m, wherein Pk is the dimension, pki is the granularity, m is the number of the dimensions and n is the number of the granularities in a dimension;

    calculating a granularity correlation function by using the music belongingness function and the user belongingness function, and the expression of the granularity correlation function is

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