Name
Abstract | ||
|---|---|---|
In this paper, a trustable service selection model based on consumer reputation is proposed. Our model exploits evidence theory and extends deception detection of existing bodies of evidence to identify dishonest decision maker. The model defines the confidence intervals for bodies of evidence, and estimates the reputation of the web service by collecting customer feedback via network referrals. It determines customer satisfaction for services and rationally ranks the reputation of service alternatives. A reputation index, aggregating both the confidence and support degree of the evidence, is introduced to determine the quality of existing evidence hence avoiding malicious assessment. Finally, an example of reputation-based web services selection is illustrated to demonstrate the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICEBE.2009.80 | ICEBE |
Keywords | Field | DocType |
evidence theory,customer feedback,trustable service selection model,reputation-based service selection,customer satisfaction,confidence interval,reputation index,web service,consumer reputation,service alternative,nickel,web services,decision maker,indexation,probability density function,reputation,indexes,computational modeling,data mining | Customer satisfaction,Customer feedback,Deception,Computer science,Knowledge management,Exploit,Service selection,Web service,Decision maker,Reputation | Conference |
Citations | PageRank | References |
6 | 0.49 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Wang | 1 | 235 | 15.84 |
| Kuo-Ming Chao | 2 | 1123 | 130.82 |
| Chi-Chun Lo | 3 | 593 | 54.99 |
| Ray Farmer | 4 | 24 | 2.34 |
| Pu-Tsun Kuo | 5 | 9 | 1.23 |