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Krysta Svore is a Researcher in the Text Mining, Search, and Navigation Group, at Microsoft Research in Redmond, WA. Her research focuses on machine learning applications for the web. In particular, she is interested in search and information retrieval, specifically new features for ranking and retrieval and new methods of training for web search. Her previous research concentrated on quantum computation, particularly quantum fault tolerance and quantum error correction.
Krysta Svore received her Ph.D. in Computer Science from Columbia University (with honors) in 2006 under Dr. Alfred Aho and Dr. Joseph Traub. She spent one year working with Dr. Isaac Chuang at MIT and several months working with Dr. John Preskill and Dr. Panos Aliferis at Caltech. She also spent time working with Dr. David DiVincenzo and Dr. Barbara Terhal at IBM Research, Yorktown. She received a B.A. in Mathematics, with a minor in Computer Science and French, from Princeton University in 2001.
Learning to Rank on a Cluster using Boosted Decision Trees
as author at Learning on Cores, Clusters, and Clouds,
Understanding Temporal Query Dynamics
as author at Fourth ACM International Conference on Web Search and Data Mining - WSDM 2011,