International Journal of Networked and Distributed Computing

Volume 5, Issue 3, July 2017, Pages 152 - 163

Research on Service Recommendation Reliability in mobile computing

Authors
Weng Wen, Huaikou Miao
Corresponding Author
Weng Wen
Available Online 3 July 2017.
DOI
10.2991/ijndc.2017.5.3.4How to use a DOI?
Keywords
Context-aware; Service recommendation; Probability model; Mobile computing; Model checking.
Abstract

Web services bring more conveniences for users and developers. However, it makes user face the problem of service information explosion. The personalized service recommendation solves the problem. This paper proposes a mechanism to evaluate Web service composition’s reliability which bases on user context information in mobile computing. The mechanism constructs user behavior model by formatting user context and then quantitative verification is performed to estimating whether the recommended Web service composition satisfy the requirements of users. Finally, experiments are carried out to demonstrate the effectiveness of our mechanism.

Copyright
© 2017, 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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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
5 - 3
Pages
152 - 163
Publication Date
2017/07/03
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2017.5.3.4How to use a DOI?
Copyright
© 2017, 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  - JOUR
AU  - Weng Wen
AU  - Huaikou Miao
PY  - 2017
DA  - 2017/07/03
TI  - Research on Service Recommendation Reliability in mobile computing
JO  - International Journal of Networked and Distributed Computing
SP  - 152
EP  - 163
VL  - 5
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2017.5.3.4
DO  - 10.2991/ijndc.2017.5.3.4
ID  - Wen2017
ER  -