Filip Radlinski

I am a PhD Candidate in Computer Science at Cornell University. I am a Fulbright Scholar from Australia and am presently supported by a Microsoft Research Fellowship.

Research Interests

My research is focused using machine learning to learn from data collected implicitly from web users. My interests include personalized search, learning to rank, advertising as an optimization problem and how to leverage the internet to help students learn. [MORE]

Selected Papers

• F. Radlinski, R. Kleinberg, T. Joachims, Learning Diverse Rankings with Multi-Armed Bandits, ICML 2008.


• F. Radlinski, T. Joachims, Active Exploration for Learning Rankings from Clickthrough Data, KDD 2007.
  
  
• Y. Yue, T. Finley, F. Radlinski, T. Joachims, A Support Vector Method for Optimizing Average Precision, SIGIR 2007.
  
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