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 . . .

If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.