QoS Prediction for Web Services via Combining Multi-component Graph Convolutional Collaborative Filtering and Deep Factorization Machine.
Linghang DingGuosheng KangJianxun LiuYong XiaoBuqing CaoPublished in: ICWS (2021)
Keyphrases
- multi component
- web services
- collaborative filtering
- matrix factorization
- quality of service
- web service selection
- recommender systems
- web services composition
- prediction accuracy
- web service composition
- deep learning
- service selection
- qos aware
- service oriented
- service composition
- data sparsity
- neural network
- tensor factorization
- structured data
- random walk
- non stationary
- service architecture
- web services discovery
- graph mining
- kronecker product
- semantic web services
- graph representation
- singular value decomposition
- pairwise
- web applications
- service oriented architecture
- resource management
- weighted graph
- deal with information overload
- real time
- unsupervised feature learning
- transfer learning
- graphical models
- graph theory
- personalized recommendation
- recommendation systems
- directed acyclic graph
- low rank
- graph structure