Explainability in Music Recommender Systems.
Darius AfcharAlessandro B. MelchiorreMarkus SchedlRomain HennequinElena V. EpureManuel MoussallamPublished in: AI Mag. (2022)
Keyphrases
- recommender systems
- music recommendation
- collaborative filtering
- user preferences
- music information retrieval
- computer music
- information filtering
- matrix factorization
- trust aware
- information overload
- user modeling
- cold start
- collaborative recommender systems
- music scores
- music score
- implicit feedback
- user model
- personalized recommendation
- item based collaborative filtering
- user feedback
- user interests
- music collections
- recommendation quality
- personal preferences
- filtering algorithm
- audio signals
- repeating patterns
- music retrieval
- music composition
- user context
- recommendation algorithms
- netflix prize
- data sparsity
- user profiles
- neural network