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To navigate the complex web of information and agents on the Internet, society has come to rely on automated systems that aggregate opinions to assess reputation. The Reputation Systems Group at Stanford develops concepts, algorithms, and protocols to provide a foundation for the systematic design of effective reputation systems.
Faculty:
Richard Zeckhauser (Harvard)
Students:
Christina Aperjis
Michael Gucwa
Kahn Mason (graduated)
Hui Zhang (USC - graduated)
·
Reputation
Markets. Xiang Yan and Benjamin Van Roy. To appear in Proceedings of ACM
SIGCOMM 2008, Workshop on the Economics of Networks, Systems, and Computation.
·
A Peer-to-Peer System as an Exchange Economy. Christina
Aperjis and
·
Incentive Based Ranking Mechanisms. Rajat Bhattacharjee
and Ashish Goel. First Workshop on the Economics of Networked Systems
(NetEcon06);
·
Eliciting Informative
Feedback: The Peer-Prediction Method.
Nolan Miller, Paul Resnick, and Richard J. Zeckhauser.
Management Science, forthcoming.
·
Consensus
Propagation. Ciamac C. Moallemi and Benjamin Van Roy.
·
Detecting Colluders
in PageRank - Finding Slow Mixing States in a Markov Chain. Kahn
Mason. Doctoral Dissertation, Department of Management Science and
Engineering,
·
Avoiding Ballot Stuffing in eBay-like Reputation
Systems. R. Bhattacharjee and A. Goel. Third Workshop on the
Economics of Peer-to-Peer Systems,
·
A Discussion of Click-Through Algorithms
for Web Page Ranking. B. Null. A tutorial project advised by A. Goel. May
2005.
·
Improving Eigenvector-Based Reputation Systems Against
Collusion. H. Zhang, A. Goel, R. Govindan, K. Mason, and B. Van Roy.
Workshop on Algorithms and Models for the Web Graph (WAW). October 2004.
·
The Design of a Distributed Rating Scheme for Peer-to-Peer
Systems. D. Dutta, A. Goel, R. Govindan, and H. Zhang. Workshop on Economic
Issues in Peer-to-Peer Systems,
NSF ITR: Axioms and Algorithms for Reputation
