Forgetting methods for incremental matrix factorization in recommender systems.
Pawel MatuszykJoão VinagreMyra SpiliopoulouAlípio Mário JorgeJoão GamaPublished in: SAC (2015)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- latent factor models
- factorization methods
- incremental learning
- recommendation systems
- negative matrix factorization
- data sparsity
- user profiles
- original data
- data representation
- stochastic gradient descent
- cold start problem
- latent factors
- probabilistic matrix factorization