Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

A QoS-based User Reputation Measurement Method for Web Services

Authors
Jianlong Xu, Yindong Chen, Changsheng Zhu
Corresponding Author
Jianlong Xu
Available Online February 2018.
DOI
10.2991/csece-18.2018.103How to use a DOI?
Keywords
Web services; quality of service; reputation
Abstract

In Web services environment, high-quality services discovery and selection depend on reliable users with high reputations. However, user reputation is hard to accurately obtain directly. To evaluate the reliability of users, we present user reputation measurement method, named URMM. Based on the historical Quality of Service (QoS) values of users, we calculate user reputation value by the median and iteration operation. Based on real world public datasets, we conduct extensive experiments and demonstrate our proposed approach is more simple and effective than traditional approach.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
10.2991/csece-18.2018.103How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianlong Xu
AU  - Yindong Chen
AU  - Changsheng Zhu
PY  - 2018/02
DA  - 2018/02
TI  - A QoS-based User Reputation Measurement Method for Web Services
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 470
EP  - 473
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.103
DO  - 10.2991/csece-18.2018.103
ID  - Xu2018/02
ER  -