The Machine Learning and Intelligence group performs research in machine learning, information retrieval, data mining, computational linguistics, and human-computer interaction. We work on new algorithms, and with large datasets, with the overall goal of advancing the science and enhancing the user's experience.
Charter
Our charter is to explore and develop principled methods for improving online services such as Search and Advertising.
We are deeply involved with the academic community and we work closely with the Microsoft product teams. The challenges the product teams face present wonderful opportunities for research and the algorithms and techniques we develop open up new opportunities for product features. We are happiest when we both achieve significant academic impact and succeed in helping to positively impact millions of people in their use of the Web, intranets, email, and other online services.
The group is managed by Chris J.C. Burges.
Alumni
- Eugene Agichtein (now at Emory University)
- Eric Brill (now Vice President at eBay)
- Raman Chandrasekar (now at Evri)
- Ken Church (now Chief Scientist at the Human Language Technology Center of Excellence at the Johns Hopkins Universityen)
- Mike Schultz (now at Serials Solutions)
Visitors
- Claudio Gentile (University of Insubria, Italy)
- Shie Mannor (Technion, Israel Institute of Technology)
- Yuan (Alan) Qi (Purdue University)
- Fei Sha (University of Southern California)
- Tong Zhang (Rutgers University)
- Mikhail Bilenko and Matthew Richardson, Predictive Client-side Profiles for Personalized Advertising, in Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011), San Diego, CA, USA, August 2011
