Title :
Personalized service recommendation algorithm
Author :
Zhang, Lei ; Meng, Xiang-Wu ; Chen, Jun-liang ; Duan, Kun ; Peng, Yong
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
In this paper, we present personalized service recommendation algorithm PSRA. Based on Web service semantics, demographic factors and users´ recommendation ratings and by redefining similarity measurement, PSRA presents different succeeding service recommendation towards the same current service to meet users´ personalized needs. Experiment results show that our algorithm is feasible and effective in practical utility.
Keywords :
Web services; demography; information filters; semantic Web; PSRA; Web service; demographic factor; personalized service recommendation algorithm; recommendation system; semantic Web; similarity measurement; users recommendation rating; Concrete; Costs; Demography; Electronic mail; Filtering algorithms; Laboratories; Machine intelligence; Motion pictures; Telecommunication switching; Web services; demographic factors; personalized service recommendation; users´ similarities;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234516
