Application of Collaborative Filtering and Data Mining Technology in Personalized National Music Recommendation and Teaching
Personalized music recommendations can accurately push the music of interest from a massive song library based on user information when the user’s listening needs are blurred. To this end, this paper proposes a method of national music recommendation based on ontology modeling and context awareness...
Guardado en:
Autores principales: | Meilin Lu, Fangfang Deng |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi-Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1a57579012434441a3a27c8228baf6d5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
por: Xu Bin
Publicado: (2021) -
Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
por: Weiting Zhao, et al.
Publicado: (2021) -
Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
por: Yong-tong Ma
Publicado: (2021) -
A Method of Using Data Mining and Edge Computing to Calculate the Standing Efficiency of Basketball Games
por: Zhe Wang, et al.
Publicado: (2021) -
Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
por: Yongbo Yu, et al.
Publicado: (2021)