Name
Abstract | ||
|---|---|---|
The widespread use of the Internet signals the need for a better understanding of trust as a basis for secure on-line interaction. In the face of increasing uncertainty and risk, users and machines must be allowed to reason effectively about the trustworthiness of other entities. In this paper, we propose a trust model that assists users and machines with decision-making in online interactions by using past behavior as a predictor of likely future behavior. We develop a general method to automatically compute trust based on self-experience and the recommendations of others. Furthermore, we apply our trust model to several utility models to increase the accuracy of decision-making in different contexts of Web Services. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/0-387-24098-5_11 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
trust,utility,decision making | World Wide Web,Trustworthiness,Computer science,Web service,The Internet | Conference |
Volume | ISSN | Citations |
173 | 1571-5736 | 16 |
PageRank | References | Authors |
0.86 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianqiang Shi | 1 | 18 | 2.59 |
| Gregor von Bochmann | 2 | 2573 | 427.74 |
| Carlisle M. Adams | 3 | 130 | 16.63 |