Incremental Matrix Factorization via Feature Space Re-learning for Recommender System.
Qiang SongJian ChengHanqing LuPublished in: RecSys (2015)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- feature space
- stochastic gradient descent
- learning algorithm
- nonnegative matrix factorization
- active learning
- latent factor models
- data sparsity
- data points
- support vector machine
- least squares
- kernel function
- low rank
- factor analysis
- kernel learning
- implicit feedback