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Christopher J. C. Burges
Researcher at Microsoft
Publications - 78
Citations - 7669
Christopher J. C. Burges is an academic researcher from Microsoft. The author has contributed to research in topics: Learning to rank & Ranking (information retrieval). The author has an hindex of 33, co-authored 78 publications receiving 7080 citations.
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From RankNet to LambdaRank to LambdaMART: An Overview
TL;DR: RankNet, LambdaRank, and LambdaMART have proven to be very successful algorithms for solving real world ranking problems and the details are spread across several papers and reports, so here is a self-contained, detailed and complete description of them.
Proceedings Article
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
TL;DR: MCTest is presented, a freely available set of stories and associated questions intended for research on the machine comprehension of text that requires machines to answer multiple-choice reading comprehension questions about fictional stories, directly tackling the high-level goal of open-domain machine comprehension.
Proceedings Article
Learning to Rank with Nonsmooth Cost Functions
TL;DR: A class of simple, flexible algorithms, called LambdaRank, which avoids difficulties by working with implicit cost functions by using neural network models, and can be extended to any non-smooth and multivariate cost functions.
Journal ArticleDOI
Adapting boosting for information retrieval measures
TL;DR: This work presents a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, and shows how to find the optimal linear combination for any two rankers, and uses this method to solve the line search problem exactly during boosting.
Proceedings Article
Simplified support vector decision rules
TL;DR: The results show that the method can decrease the computational complexity of the decision rule by a factor of ten with no loss in generalization perfor mance making the SVM test speed com petitive with that of other methods.