Ralf Herbrich is the Director of Microsoft's Future Social Experiences (FUSE) Lab UK which focuses on demonstrating and enabling new social experiences through development of computational intelligence technologies on large online data collections.
Ralf joined Microsoft Research in 2000 as a Postdoctoral researcher and Research Fellow of the Darwin College Cambridge. From 2006 - 2008, together with Thore Graepel, he was leading the Applied Games group which engaged in research at the intersection of machine learning and computer games.
Two years later, both of them widened the research focus of this team and established the Online Services and Advertising (OSA) research group. The OSA group conducts research in the areas of online services, search and online advertising combining insights from machine learning, information retrieval, game theory, artificial intelligence and social network analysis.
Prior to joining Microsoft, Ralf worked at the Technical University Berlin as a teaching assistant where he obtained both a diploma degree in Computer Science and a Ph.D. degree in Statistics.
Ralf's research interests include Bayesian inference and decision making, computer games, kernel methods and statistical learning theory.
Ralf is one of the inventors of the Drivatars™ system in the Forza Motorsport series as well as the TrueSkill™ ranking and matchmaking system in Xbox 360 Live. More recently, he co-invented the click-prediction technology used in Bing's online advertising system.
- Yoram Bachrach, Ralf Herbrich, and Ely Porat, Sketching Algorithms For Approximating Rank Correlations In Collaborative Filtering Systems, in SPIRE 2009, 2009
- Yoram Bachrach, Ralf Herbrich, and Ely Porat, Sketching Algorithms For Approximating Rank Correlations In Collaborative Filtering Systems, in SPIRE 2009, 2009
- Anton Schwaighofer, Joaquin Quinonero Candela, Thomas Borchert, Thore Graepel, and Ralf Herbrich, Scalable Clustering and Keyword Suggestion for Online Advertisements, in Proceedings of ADKDD 2009: 3rd Annual International Workshop on Data Mining and Audience Intelligence for Advertising, Association for Computing Machinery, Inc., 2009
- David Stern, Ralf Herbrich, and Thore Graepel, Matchbox: Large Scale Bayesian Recommendations, in Proceedings of the 18th International World Wide Web Conference, 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
