Incorporating service and user information and latent features to predict QoS for selecting and recommending cloud service compositions
Crossref DOI link: https://doi.org/10.1007/s10586-016-0565-x
Published Online: 2016-04-29
Published Print: 2016-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Karim, Raed
Ding, Chen
Miri, Ali
Rahman, Md Shahinur
Text and Data Mining valid from 2016-04-29
