Distributed Web Search
Greedy Function Optimization in Learning to Rank
TrueSkill and AdPredictor: Large Scale Machine Learning in the Wild
Introduction to Web Accessibility
A Theory of Multiclass Boosting
Iterative Learning of Weighted Rule Sets for Greedy Search
Enterprise and Desktop search (EDS)
Fast learning of Document Ranking Functions with the Committee Perceptron
A Multi-class Boosting Method with Direct Optimization
ShareBoost: Boosting for Multi-View Learning with Performance Guarantees