QOS Evaluation For Web Service Recommendation

Volume 19 No 7 (2021)

Poonam Rani

DOI: 10.48047/nq.2021.19.7.NQ21123

Abstract

Quality-of-Service (QoS) is vital for characterising nonfunctional aspects of Web services as they become more prevalent and widely used on the World Wide Web. In this study, the system presents a collaborative filtering approach for forecasting Web service QoS values and producing Web service recommendations by leveraging previous service users' usage experiences. Web service QoS value prediction is a crucial topic for service selection and recommendation

Keywords

Quality-of-Service, Web Services, World Wide Web, Collaborative Filtering, Tensor-Based Qos Prediction Method (TBQP)

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.