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.
%0 Conference Paper
%1 citeulike:350028
%A Guha, R.
%A Kumar, Ravi
%A Raghavan, Prabhakar
%A Tomkins, Andrew
%B Proceedings of the 13th International Conference on World Wide Web
%C New York, NY, USA
%D 2004
%I ACM
%K dlpaws, propagation, trust
%P 403--412
%R 10.1145/988672.988727
%T Propagation of Trust and Distrust
%U http://dx.doi.org/10.1145/988672.988727
%X 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.
%@ 1-58113-844-X
@inproceedings{citeulike:350028,
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.}},
added-at = {2017-11-15T17:02:25.000+0100},
address = {New York, NY, USA},
author = {Guha, R. and Kumar, Ravi and Raghavan, Prabhakar and Tomkins, Andrew},
biburl = {https://www.bibsonomy.org/bibtex/2b69bddb4803720f5cd8416e0862b86f3/brusilovsky},
booktitle = {Proceedings of the 13th International Conference on World Wide Web},
citeulike-article-id = {350028},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=988727},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/988672.988727},
doi = {10.1145/988672.988727},
interhash = {29ee8508d6b44ba192a4858675713134},
intrahash = {b69bddb4803720f5cd8416e0862b86f3},
isbn = {1-58113-844-X},
keywords = {dlpaws, propagation, trust},
location = {New York, NY, USA},
pages = {403--412},
posted-at = {2009-08-07 15:42:46},
priority = {2},
publisher = {ACM},
series = {WWW '04},
timestamp = {2017-11-15T17:02:25.000+0100},
title = {{Propagation of Trust and Distrust}},
url = {http://dx.doi.org/10.1145/988672.988727},
year = 2004
}