A Survey On Aware Web Service Recommendation |
Author(s): |
| Ashwini V Rajguru , Everest College of Engineering,Aurangabad; Kalpana T Kanade, Everest College of Engineering,Aurangabad |
Keywords: |
| Qos, Service Recommendation, Collaborative Filtering, Web Services |
Abstract |
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To Find Correct web service we need to have a QoS-based approach for an effective web service recommendation. Web Services are one kind of software component which is designed to support machine to machine interaction over a web. With increasing use and adoption of Web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of Web services. In this paper, we present a collaborative filtering approach for prediction of QoS values of Web services and making Web service recommendation [1] by taking advantages of past usage experiences of service users. We first propose a user-collaborative mechanism for past Web service QoS information collection from different service users. Then, based on the collected QoS data, a collaborative filtering approach is designed to predict Web service QoS values. |
Other Details |
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Paper ID: IJSRDV4I50559 Published in: Volume : 4, Issue : 5 Publication Date: 01/08/2016 Page(s): 956-959 |
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