Portrait of Chris J.C. Burges

Chris J.C. Burges

Principal Researcher/ Research Manager

About

I’m a Principal Researcher in, and manager of, the Machine Learning and Intelligence (MLI) group in the Machine Learning Group at Microsoft Research.  Our work covers a broad spectrum of research activities, from fundamental, theoretical machine learning to a wide variety of applied research projects, such as social network-based question answering and url selection for Bing’s index.  Our machine learning technologies are used throughout Microsoft’s Online Services division (in particular, Bing, AdCenter and MSN): for example our ranking technology is used for core Web Search, for Web Search verticals like image and commerce search, and for Ads relevance.  This is just one example: I invite you to browse the team’s web pages to find out more.

I’m interested in the theory and practice of machine learning, optimization methods, and the intersection of machine learning with natural language processing and semantic modeling.  I’m currently particularly interested in machine reading and semantic modeling, with models that leverage large amounts of unlabeled text data.

Projects

MSR Sentence Completion Challenge

Established: December 8, 2011

The MSR sentence completion challenge is intended to stimulate research in the area of semantic modeling. The challenge set consists of fill-in-the-blank questions similar to those found on the widely used Scholastic Aptitude Test. The sentence completion questions we focus…

Support Vector Machines

Established: November 5, 2001

Support vector machines are a set of algorithms that learn from data by creating models that maximize their margin of error. Support vector machines (SVMs) are a family of algorithms for classification, regression, transduction, novelty detection, and semi-supervised learning. They work by choosing…

Publications

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Projects