Kernelized Matrix Factorization for Collaborative Filtering.
Xinyue LiuCharu C. AggarwalYu-Feng LiXiangnan KongXinyuan SunSaket SathePublished in: SDM (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- data sparsity
- probabilistic matrix factorization
- nonnegative matrix factorization
- negative matrix factorization
- factorization methods
- user preferences
- factor analysis
- variational bayesian
- personalized ranking
- recommendation systems
- implicit feedback
- stochastic gradient descent
- missing data
- kernel function
- data matrix
- factorization method
- cold start problem
- tensor factorization
- recommendation quality
- user profiles
- cold start
- latent factor models
- user interests