Towards Optimal Active Learning for Matrix Factorization in Recommender Systems.
Rasoul KarimiChristoph FreudenthalerAlexandros NanopoulosLars Schmidt-ThiemePublished in: ICTAI (2011)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- active learning
- data sparsity
- low rank
- nonnegative matrix factorization
- implicit feedback
- factorization methods
- negative matrix factorization
- user preferences
- probabilistic matrix factorization
- recommendation quality
- cold start problem
- transfer learning
- missing data
- stochastic gradient descent
- data matrix
- cold start
- recommendation systems
- variational bayesian
- factor analysis
- user ratings
- user feedback
- data sets
- latent factors
- least squares
- item recommendation
- random sampling