Paper Info
Title
A Measure Standard for Ontology-Based Service Recommendation
Abstract
Web Service is becoming the next generation of web-based application. With enhancement of quality of services and increasing quantity of services, how to recommend the suitable services according to personalized requirement becomes an urgent question. In the existing approaches of service recommendation, the result of service recommendation is the service list in which there is no evaluation standard that we can use to distinguish services with high relevancy and low relevancy. So in real-world, the user may obtain low relative services. To address the problem, in this paper, membership function is analyzed and recommendation measure standard is proposed. With dynamic programming theory, an ontology based approach of service recommendation is provided. In the result of service recommendation, membership as measure index is used to divide high relative services, medium relative services and low relative services. High relative services are recommended to the user. So the recommended services are accurate and available.
Year
DOI
Venue
2011
10.1109/SERVICES.2011.39
SERVICES
Keywords
Field
DocType
measure standard,high relevancy,recommendation measure standard,service recommendation,ontology-based service recommendation,suitable service,service list,medium relative service,low relative service,low relevancy,high relative service,recommended service,membership function,dynamic programming,web service,semantics,indexation,quality of service,ontology,ontologies,databases,web services,methodology,business,recommender systems,web based application,service discovery
Ontology (information science),Recommender system,Ontology,Data mining,World Wide Web,Computer science,Service system,Quality of service,Web service,Service delivery framework,Semantics,Database
Conference
Citations 
PageRank 
References 
1
0.35
9
Authors
3
Name
Order
Citations
PageRank
Zhi Yang195.65
Budan Wu27415.54
Junliang Chen31051124.15