We conduct research in the fascinating areas of online services, The Web and online advertising. We combine insights from machine learning, game theory, AI, and social network analysis to create the computational intelligence that will be crucial to next generation online services.
Projects
Our computational advertising research is conducted in close partnership with AdCenter Labs. Our direct access to adCenter resources gives us a unique perspective in this emerging resarch field.
 |
Trust and Reputation |
 |
Behavioural Targeting Modelling users based on their browsing behaviour, to improve the relevance of the ads displayed, and to provide better targeting to the advertisers. |
 |
Recommendation Systems |
 |
Machine Learning and Mechanism Design |
- Yoram Bachrach, Ralf Herbrich, and Ely Porat, Sketching Algorithms For Approximating Rank Correlations In Collaborative Filtering Systems, in SPIRE 2009, 2009
- Yoram Bachrach, Ely Porat, and Jeffrey S. Rosenschein, Sketching Techniques for Collaborative Filtering, in IJCAI 2009, 2009
- Yoram Bachrach, Edith Elkind, Reshef Meir, Dmitrii Pasechnik, Michael Zuckerman, Jorg Rothe, and Jeffrey S. Rosenschein, The Cost of Stability and Its Application to Weighted Voting Games, in SAGT 2009, 2009
- David Stern, Ralf Herbrich, and Thore Graepel, Matchbox: Large Scale Bayesian Recommendations, in Proceedings of the 18th International World Wide Web Conference, 2009
- Ezra Resnick, Yoram Bachrach, Reshef Meir, and Jeffrey S. Rosenschein, The Cost of Stability in Network Flow Games, in MFCS 2009, 2009
- Pierre Dangauthier, Ralf Herbrich, Tom Minka, and Thore Graepel, TrueSkill Through Time: Revisiting the History of Chess, in Advances in Neural Information Processing Systems 20, MIT Press, 2008
- Ralf Herbrich, Thore Graepel, and Brendan Murphy, Structure from Failure, in Second Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML07) , USENIX, June 2007
- David Stern, Ralf Herbrich, and Thore Graepel, Learning To Solve Game Trees, in Proceedings of the International Conference of Machine Learning, January 2007
- Ralf Herbrich, Tom Minka, and Thore Graepel, TrueSkill(TM): A Bayesian Skill Rating System, in Advances in Neural Information Processing Systems 20, MIT Press, January 2007
- Thore Graepel and Ralf Herbrich, Ranking and Matchmaking, in Game Developer Magazine, October 2006
Related Links
News
- Press Releases
- Beyond Search: Computational Intelligence for the Web.Two day workshop at NIPS 2008
Careers
- We are looking for outstanding interns, postdoc researchers, developers and full-time researchers. Visit our career opportunities page
- Former members
