@inproceedings{8f50b360d5644285902c1a78ce7d93a1,
title = "Quality of web service prediction by collective matrix factorization",
abstract = "This paper studies the quality of web service prediction problem. We formalize the QoS prediction problem by incorporating multiple contextual characteristics via collective matrix factorization that simultaneously factor the user-service quality matrix and contextual information matrices. Using the service category and location context, we develop three context-aware QoS prediction models and algorithms to demonstrate the advantages of this modeling technique. The advantages of our proposed models are demonstrated via experiments on real-life data sets.",
keywords = "Matrix factorization, QoS prediction, Quality of web services",
author = "Richong Zhang and Chune Li and Hailong Sun and Yanghao Wang and Jinpeng Huai",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th IEEE International Conference on Services Computing, SCC 2014 ; Conference date: 27-06-2014 Through 02-07-2014",
year = "2014",
month = oct,
day = "17",
doi = "10.1109/SCC.2014.64",
language = "英语",
series = "Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "432--439",
editor = "Elena Ferrari and Ravindran Kaliappa and Hung, \{Patrick C.K.\}",
booktitle = "Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014",
address = "美国",
}