Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint.
Xin LuoMengChu ZhouYunni XiaQingsheng ZhuPublished in: WOCC (2014)
Keyphrases
- matrix factorization
- collaborative filtering
- web services
- quality of service
- web service selection
- recommender systems
- web services composition
- data sparsity
- low rank
- web services discovery
- service selection
- negative matrix factorization
- probabilistic matrix factorization
- factorization methods
- recommendation quality
- nonnegative matrix factorization
- missing data
- cold start problem
- item recommendation
- personalized ranking
- web service composition
- service composition
- factor analysis
- variational bayesian
- recommendation systems
- stochastic gradient descent
- global constraints
- user preferences
- image classification
- personalized recommendation
- user behavior
- binary matrix
- sparsity constraints
- latent factor models
- tensor factorization
- factorization method