Name
Abstract | ||
|---|---|---|
A (directed) network of people connected by ratings or trust scores, and a model for propagating those trust scores, is a fundamental building block in many of today's most successful e-commerce and recommendation systems. We develop a framework of trust propagation schemes, each of which may be appropriate in certain circumstances, and evaluate the schemes on a large trust network consisting of 800K trust scores expressed among 130K people. We show that a small number of expressed trusts/distrust per individual allows us to predict trust between any two people in the system with high accuracy. Our work appears to be the first to incorporate distrust in a computational trust propagation setting. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/988672.988727 | WWW |
Keywords | Field | DocType |
web of trust,e commerce,recommender system | Recommender system,Internet privacy,Trust anchor,Computer science,Trust network,Computational trust,Distrust,Web of trust | Conference |
ISBN | Citations | PageRank |
1-58113-844-X | 742 | 43.53 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramanathan V. Guha | 1 | 2600 | 415.68 |
| Ravi Kumar | 2 | 13932 | 1642.48 |
| Prabhakar Raghavan | 3 | 13351 | 2776.61 |
| Andrew Tomkins | 4 | 9388 | 1401.23 |