A novel method for calculating service reputation

Yan Wu; Chun Gang Yan; Zhi Jun Ding; Guan Jun Liu; Peng Wei Wang; Chang Jun Jiang; Meng Chu Zhou

doi:10.1109/TASE.2013.2238231

A novel method for calculating service reputation

Yan Wu, Chun Gang Yan, Zhi Jun Ding, Guan Jun Liu, Peng Wei Wang, Chang Jun Jiang, Meng Chu Zhou

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

61 Scopus citations

Abstract

Owing to their rapid development, services are increasing rapidly in quantity. The consequence is that there are so many services that share the same or similar functions. Therefore, it is important to select a credible and optimal service. Reputation as one of the important parameters of services plays a significant role in the decision support for service selection. This paper proposes a novel two-phase method to calculate service reputation. The first phase uses a dynamic weight formula to calculate reputation such that it can reflect the latest tendency of a service. The second one uses an olfactory response formula to mitigate the negative effect of unfair ratings. Some experiments are conducted and the results validate the effectiveness of the proposed method.

Original language	English (US)
Pages (from-to)	634-642
Number of pages	9
Journal	IEEE Transactions on Automation Science and Engineering
Volume	10
Issue number	3
DOIs	https://doi.org/10.1109/TASE.2013.2238231
State	Published - Jul 2013

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Keywords

Business
Electronic commerce
Olfactory response
Particle swarm optimization
Performance evaluation
Service reputation
Web service
Workflow

Access to Document

10.1109/TASE.2013.2238231

Cite this

@article{99a887e674fc4b0da4ee99c22dca2d39,

title = "A novel method for calculating service reputation",

abstract = "Owing to their rapid development, services are increasing rapidly in quantity. The consequence is that there are so many services that share the same or similar functions. Therefore, it is important to select a credible and optimal service. Reputation as one of the important parameters of services plays a significant role in the decision support for service selection. This paper proposes a novel two-phase method to calculate service reputation. The first phase uses a dynamic weight formula to calculate reputation such that it can reflect the latest tendency of a service. The second one uses an olfactory response formula to mitigate the negative effect of unfair ratings. Some experiments are conducted and the results validate the effectiveness of the proposed method.",

keywords = "Business, Electronic commerce, Olfactory response, Particle swarm optimization, Performance evaluation, Service reputation, Web service, Workflow",

author = "Yan Wu and Yan, {Chun Gang} and Ding, {Zhi Jun} and Liu, {Guan Jun} and Wang, {Peng Wei} and Jiang, {Chang Jun} and Zhou, {Meng Chu}",

year = "2013",

month = jul,

doi = "10.1109/TASE.2013.2238231",

language = "English (US)",

volume = "10",

pages = "634--642",

journal = "IEEE Transactions on Automation Science and Engineering",

issn = "1545-5955",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - A novel method for calculating service reputation

AU - Wu, Yan

AU - Yan, Chun Gang

AU - Ding, Zhi Jun

AU - Liu, Guan Jun

AU - Wang, Peng Wei

AU - Jiang, Chang Jun

AU - Zhou, Meng Chu

PY - 2013/7

Y1 - 2013/7

N2 - Owing to their rapid development, services are increasing rapidly in quantity. The consequence is that there are so many services that share the same or similar functions. Therefore, it is important to select a credible and optimal service. Reputation as one of the important parameters of services plays a significant role in the decision support for service selection. This paper proposes a novel two-phase method to calculate service reputation. The first phase uses a dynamic weight formula to calculate reputation such that it can reflect the latest tendency of a service. The second one uses an olfactory response formula to mitigate the negative effect of unfair ratings. Some experiments are conducted and the results validate the effectiveness of the proposed method.

AB - Owing to their rapid development, services are increasing rapidly in quantity. The consequence is that there are so many services that share the same or similar functions. Therefore, it is important to select a credible and optimal service. Reputation as one of the important parameters of services plays a significant role in the decision support for service selection. This paper proposes a novel two-phase method to calculate service reputation. The first phase uses a dynamic weight formula to calculate reputation such that it can reflect the latest tendency of a service. The second one uses an olfactory response formula to mitigate the negative effect of unfair ratings. Some experiments are conducted and the results validate the effectiveness of the proposed method.

KW - Business

KW - Electronic commerce

KW - Olfactory response

KW - Particle swarm optimization

KW - Performance evaluation

KW - Service reputation

KW - Web service

KW - Workflow

UR - http://www.scopus.com/inward/record.url?scp=84892595881&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84892595881&partnerID=8YFLogxK

U2 - 10.1109/TASE.2013.2238231

DO - 10.1109/TASE.2013.2238231

M3 - Article

AN - SCOPUS:84892595881

SN - 1545-5955

VL - 10

SP - 634

EP - 642

JO - IEEE Transactions on Automation Science and Engineering

JF - IEEE Transactions on Automation Science and Engineering

IS - 3

ER -

A novel method for calculating service reputation

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this