Filip Radlinski

I am an applied researcher at Microsoft in Vancouver, Canada. Until recently, I was at Microsoft Research in Cambridge, UK. I completed my PhD in Computer Science at Cornell University in 2008.

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

• On Click-Based Evaluation
  
• F. Radlinski and P.N. Bennett and E. Yilmaz, Detecting Duplicate Web Documents using Clickthrough Data, WSDM 2011.
  
  
• F. Radlinski and N. Craswell, Comparing the Sensitivity of Information Retrieval Metrics, SIGIR 2010.
  
  
• F. Radlinski, M. Kurup, T. Joachims, How Does Clickthrough Data Reflect Retrieval Quality?, CIKM 2008.
  
  
• On Personalization and Diversity
  
• N. Matthijs and F. Radlinski, Personalizing Web Search using Long Term Browsing History, WSDM 2011.
  
  
• F. Radlinski, M. Szummer and N. Craswell, Inferring Query Intent from Reformulations and Clicks, WWW 2010.
  
  
• F. Radlinski, P.N. Bennett, B. Carterette and T. Joachims, Redundancy, Diversity and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop, SIGIR Forum, Dec 2009.
  
  
• On Multi-Armed Bandits
  
• A. Slivkins, F. Radlinski and S. Gollapudi, Learning Optimally Diverse Rankings over Large Document Collections, ICML 2010.
  
  
• D. Chakrabarti, R. Kumar, F. Radlinski and E. Upfal, Mortal Multi-Armed Bandits, NIPS 2008.
  
  [MORE]