Predicting User Preference Based on Matrix Factorization by Exploiting Music Attributes.
Amir Hossein NabizadehAlípio Mário JorgeSuhua TangYi YuPublished in: C3S2E (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- user preferences
- low rank
- cold start problem
- missing data
- nonnegative matrix factorization
- latent factors
- negative matrix factorization
- implicit feedback
- personalized ranking
- stochastic gradient descent
- factor analysis
- user interface
- factorization methods
- probabilistic matrix factorization
- variational bayesian
- user ratings
- user profiles
- tensor factorization
- end users
- user interests
- data sparsity
- tag recommendation
- co occurrence
- personalized recommendation
- recommendation systems