Paper Info
Title
On the Social Aspects of Personalized Ranking for Web Services
Abstract
Ranking is an important step once automated discovery in Web Services is enabled, it allows for automated selection of the best matched service, out of the discovered ones. However, automated selection of the best matched service is not as simple as it may look like. Different service consumers may have different preferences to select the service providers, which may even depend upon their past interactions. Various approaches have been proposed that allow ranking of services based on different functional and non-functional aspects. However, we believe that the selection of services based on the analysis of the past interactions of service consumers or their social-network could be another effective way to rank the services for the benefit of service consumers. In this paper, we present a community-aware personalized approach for recommending and ranking Web Services for a service consumer. It is based on analysis of historical interactions among service consumers and service providers. We perform analysis and mining on the log information of service consumers and service providers, model their past interactions as social network, apply standard social-network analysis techniques, and use this information in ranking Web Services.
Year
DOI
Venue
2011
10.1109/HPCC.2011.21
HPCC
Keywords
Field
DocType
Web services,data mining,social aspects of automation,social networking (online),Web services ranking,Web services recommendation,automated discovery,community-aware personalized approach,functional aspects,historical interactions,log information mining,nonfunctional aspects,personalized ranking,service consumers,service providers,service selection,social aspects,standard social-network analysis,Community-aware,Personalization,Ranking,Social Network Analysis,Web Services
Service design,World Wide Web,Computer science,Service system,Differentiated service,Service provider,Service discovery,Web service,WS-Policy,Service delivery framework
Conference
Citations 
PageRank 
References 
15
0.78
19
Authors
3
Name
Order
Citations
PageRank
M. Omair Shafiq113918.59
Reda Alhajj21919205.67
Jon Rokne310415.89