CogTime_RMF: regularized matrix factorization with drifting cognition degree for collaborative filtering.
Jiemin ChenFeiyi TangJing XiaoJianguo LiJing HeYong TangPublished in: Clust. Comput. (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- low rank
- probabilistic matrix factorization
- negative matrix factorization
- factorization methods
- missing data
- cold start problem
- nonnegative matrix factorization
- least squares
- implicit feedback
- factor analysis
- user preferences
- tensor factorization
- transfer learning
- user profiles
- recommendation systems
- stochastic gradient descent
- data matrix
- variational bayesian
- recommendation quality
- text mining
- personalized ranking