User-credibility Based Service Reputation Management for Service Selection
- 10.2991/csss-14.2014.132How to use a DOI?
- service reputation; user credibility; malicious feedbacks;
In composite services, the atomic service reputation is becoming important when many similar functional services could be provided for selecting under the heterogeneous and loose- coupled circumstance . However, existing reputation measurement methods pay little attention on user credibility which has a great influence o n accuracy. In this paper, we define user credibility as the ability of honest users to provide rational feedback s, and propose a novel service reputation management model based on service invocation information and user feedback. This method consists of three parts: malicious feedbacks distinguishing, user credibility evaluating and service reputation predicting. Firstly, a clustering algorithm is conceived to filter out malicious feedbacks. Then a feedback deviation based algorithm is proposed to evaluate the user credibility considering service QoS similarity. Finally, an algorithm on the basis of user credibility and honest feedback s is applied to predict service reputation . Experiment proves that our model can effectively detect malicious feedbacks and precisely measure service reputation with low error.
- © 2014, 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 - Jiuxin Cao AU - Yi Dong AU - Yi Qin AU - Bo Liu AU - Fang Dong AU - Tao Zhou PY - 2014/06 DA - 2014/06 TI - User-credibility Based Service Reputation Management for Service Selection BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 562 EP - 568 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.132 DO - 10.2991/csss-14.2014.132 ID - Cao2014/06 ER -