Incorporating service and user information and latent features to predict QoS for selecting and recommending cloud service compositions.
Raed KarimChen DingAli MiriMd Shahinur RahmanPublished in: Clust. Comput. (2016)
Keyphrases
- information overload
- end users
- feature extraction
- user interaction
- recommender systems
- spatial information
- collaborative filtering
- recommendation systems
- structural information
- content based filtering
- network resources
- information services
- web services
- service oriented
- feature space
- university library
- service differentiation