Volume & Issue no: Volume 4, Issue 1, January - February 2015
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Title: |
An Enhanced Web Service Recommendation System with Ranking QoS Information |
Author Name: |
S.Suria and K.Palanivel |
Abstract: |
Abstract
Web services are software components designed to support
interoperable machine-to-machine interaction over a network.
The adoption of web services as a delivery mode in business
has fostered a new paradigm shift from the development of
monolithic applications to the dynamic setup of business
process. Service users are not knowledgement about all the
different types of web services. Hence, Web Service
Recommender System (WSRS) is needed to provide quality of
service to the users. These web service recommendation
systems use collaborative filtering algorithm to deliver the
most relevant data for the given queries. In this paper, we
include investigating the correlation between different QoS
properties, and detecting malicious users with inaccurate QoS
information. Service-oriented computing (SOC) enables
organizations and individual users to discover openlyaccessible
capabilities realized as services over the Internet.
We also introduce a web service recommender system that
proactively discovers and manages web services. This paper
focuses on the underlying search and ranking algorithms that
enable the recommendations. This can be employed effectively
by the service users for better web service selection. Our
proposed techniques are effective and efficient when
compared to the previous approaches through our
experimental and simulation analysis.
Keywords: Web Databases, Data Alignment, Data
Filtering, Multimode Text, Service recommendation, QoS,
collaborative filtering, Ranking efficient |
Cite this article: |
S.Suria and K.Palanivel , "
An Enhanced Web Service Recommendation System with Ranking QoS Information" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 1, January - February 2015 , pp.
116-121 , ISSN 2278-6856.
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