An Extended-Tag-Induced Matrix Factorization Technique for Recommender Systems.
Huirui HanMengxing HuangYu ZhangUzair Aslam BhattiPublished in: Inf. (2018)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- data sparsity
- factorization methods
- user preferences
- negative matrix factorization
- item recommendation
- cold start problem
- factor analysis
- nonnegative matrix factorization
- recommendation quality
- cold start
- user model
- probabilistic matrix factorization
- information overload
- implicit feedback
- keywords
- stochastic gradient descent
- user interests
- rating prediction
- latent factor models
- variational bayesian
- clustering algorithm
- user generated content
- personalized ranking
- objective function
- co occurrence
- tensor factorization
- missing data
- transfer learning
- tag recommendation
- data matrix
- recommendation systems