A user dependent Web service QoS collaborative prediction approach using neighborhood regularized matrix factorization.
Zhen ChenLimin ShenDianlong YouFeng LiPublished in: CSCWD (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- web services
- recommender systems
- item recommendation
- quality of service
- low rank
- prediction accuracy
- web service selection
- implicit feedback
- factorization methods
- cold start problem
- negative matrix factorization
- user preferences
- latent factors
- personalized ranking
- nonnegative matrix factorization
- probabilistic matrix factorization
- missing data
- factor analysis
- user interface
- web services composition
- stochastic gradient descent
- user ratings
- variational bayesian
- least squares
- data matrix
- tensor factorization
- user interaction
- service selection
- data sparsity
- cold start
- recommendation systems
- image representation
- natural images
- web service composition