AdaMF: Adaptive Boosting Matrix Factorization for Recommender System.
Yanghao WangHailong SunRichong ZhangPublished in: WAIM (2014)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- nonnegative matrix factorization
- cold start problem
- implicit feedback
- negative matrix factorization
- data sparsity
- user preferences
- factorization methods
- factor analysis
- variational bayesian
- learning algorithm
- personalized recommendation
- tensor factorization
- item recommendation
- stochastic gradient descent
- latent factor models
- probabilistic matrix factorization
- recommendation quality
- data matrix
- recommendation systems
- user feedback
- user profiles
- cold start
- user interests
- topic models
- personalized ranking
- feature extraction