Current challenges and visions in music recommender systems research.
Markus SchedlHamed ZamaniChing-Wei ChenYashar DeldjooMehdi ElahiPublished in: Int. J. Multim. Inf. Retr. (2018)
Keyphrases
- current challenges
- recommender systems
- future directions
- music recommendation
- utmost importance
- collaborative filtering
- matrix factorization
- cold start problem
- user preferences
- ambient intelligence
- music information retrieval
- user profiles
- cold start
- music retrieval
- lessons learned
- virtual world
- personalized recommendation
- audio signals
- real world
- data sparsity
- user profiling
- implicit feedback
- recommendation systems
- user modeling
- database systems
- databases