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Propagation of trust and distrust
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Source International World Wide Web Conference archive
Proceedings of the 13th international conference on World Wide Web table of contents
New York, NY, USA
SESSION: Reputation networks table of contents
Pages: 403 - 412  
Year of Publication: 2004
ISBN:1-58113-844-X
Authors
R. Guha  IBM Almaden Research Center, San Jose, CA
Ravi Kumar  IBM Almaden Research Center, San Jose, CA
Prabhakar Raghavan  Verity Inc., Sunnyvale, CA
Andrew Tomkins  IBM Almaden Research Center, San Jose, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  74

Collaborative Colleagues:
R. Guha: colleagues
Ravi Kumar: colleagues
Prabhakar Raghavan: colleagues
Andrew Tomkins: colleagues