A Survey of Music Personalized Recommendation System
Yuan Xie, Lei Ding · Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) · 2018
The study of music recommendation research was conducted and the corresponding research hotspots were proposed.The literature analysis method was used to briefly introduce the recommendation strategy from the perspective of the recommendation algorithm.It further proposes a method of using rough set theory to extract important context information and combines this user preference in context with collaborative filtering recommendation technology to implement a new idea of context recommendation-based music recommendation.The existing studies have a lack of systematic research on user behaviors and needs, low levels of feature extraction, and single problems in evaluation indicators.In the future, more in-depth discussions can be conducted in terms of group music recommendation, ontology modeling, and contextual awareness-based music recommendation in a mobile environment.