DocumentCode :
3152425
Title :
NRCF: A Novel Collaborative Filtering Method for Service Recommendation
Author :
Sun, Huifeng ; Zheng, Zibin ; Chen, Junliang ; Lyu, Michael R.
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
4-9 July 2011
Firstpage :
702
Lastpage :
703
Abstract :
Since there are many Web services on the Internet, personalized Web service selection and recommendation is very important. In this paper, we present a new similarity measure for Web service similarity computation and propose a normal recovery collaborative filtering (NRCF) method for personalized Web service recommendation.
Keywords :
Web services; groupware; information filtering; Internet; Web service similarity computation; Web services; normal recovery collaborative filtering method; personalized Web service recommendation; personalized Web service selection; Collaboration; Euclidean distance; Quality of service; Recommender systems; Web services; Web sites; QoS; Service recommendation; collaborative ?ltering; recommender system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services (ICWS), 2011 IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-0842-8
Electronic_ISBN :
978-0-7695-4463-2
Type :
conf
DOI :
10.1109/ICWS.2011.86
Filename :
6009460
Link To Document :
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