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Filip Radlinski: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Filip Radlinski, Thorsten Joachims
    Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Filip Radlinski, Thorsten Joachims
    Query chains: learning to rank from implicit feedback. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:239-248 [Conf]
  3. Filip Radlinski, Susan T. Dumais
    Improving personalized web search using result diversification. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:691-692 [Conf]
  4. Stefan Pohl, Filip Radlinski, Thorsten Joachims
    Recommending related papers based on digital library access records. [Citation Graph (0, 0)][DBLP]
    JCDL, 2007, pp:417-418 [Conf]
  5. Filip Radlinski, Thorsten Joachims
    Active exploration for learning rankings from clickthrough data. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:570-579 [Conf]
  6. Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims
    A support vector method for optimizing average precision. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:271-278 [Conf]
  7. Stefan Pohl, Filip Radlinski, Thorsten Joachims
    Recommending Related Papers Based on Digital Library Access Records [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  8. Filip Radlinski, Thorsten Joachims
    Query Chains: Learning to Rank from Implicit Feedback [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  9. Filip Radlinski, Thorsten Joachims
    Evaluating the Robustness of Learning from Implicit Feedback [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  10. Filip Radlinski, Thorsten Joachims
    Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  11. Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay
    Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2007, v:25, n:2, pp:- [Journal]

  12. How does clickthrough data reflect retrieval quality? [Citation Graph (, )][DBLP]


  13. Learning diverse rankings with multi-armed bandits. [Citation Graph (, )][DBLP]


  14. Learning optimally diverse rankings over large document collections. [Citation Graph (, )][DBLP]


  15. Mortal Multi-Armed Bandits. [Citation Graph (, )][DBLP]


  16. Optimizing relevance and revenue in ad search: a query substitution approach. [Citation Graph (, )][DBLP]


  17. Metrics for assessing sets of subtopics. [Citation Graph (, )][DBLP]


  18. Comparing the sensitivity of information retrieval metrics. [Citation Graph (, )][DBLP]


  19. Inferring query intent from reformulations and clicks. [Citation Graph (, )][DBLP]


  20. Search Engines that Learn from Implicit Feedback. [Citation Graph (, )][DBLP]


  21. Learning optimally diverse rankings over large document collections [Citation Graph (, )][DBLP]


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