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.
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.
- Hoyt Koepke and Mikhail Bilenko, Fast Prediction of New Feature Utility, in Proceedings of the 29th International Conference on Machine Learning (ICML-2012), June 2012
- 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