Research on music neighborhood-based recommendation algorithms

HIGHLIGHTS

  • What: The authors explore how hybrid recommendation systems which combine multiple methods can overcome the limitations of individual models.
  • Who: Algorithms, and Jinxu, Li from the School of Information Engineering, Shanghai Maritime University, Shanghai, China have published the article: Research on Music Neighborhood-Based Recommendation Algorithms, in the Journal: (JOURNAL)
  • How: This paper presents a comprehensive review of recommendation in the music domain.
  • Future: The combination of deep learning and graph models provides new perspectives and methods for the personalization and accuracy of music recommendation systems. The review concludes by identifying . . .

     

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