Filip Radlinski

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2013
29Practical Online Retrieval Evaluation. Filip Radlinski, Katja Hofmann. ECIR 2013, 878-881. Web SearchBibTeXDownload
28Optimized interleaving for online retrieval evaluation. Filip Radlinski, Nick Craswell. WSDM 2013, 245-254. Web SearchBibTeXDownload
2012
27Large-scale validation and analysis of interleaved search evaluation. Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue. ACM Trans. Inf. Syst. (30): 6 (2012). Web SearchBibTeXDownload
26On caption bias in interleaving experiments. Katja Hofmann, Fritz Behr, Filip Radlinski. CIKM 2012, 115-124. Web SearchBibTeXDownload
2011
25Practical online retrieval evaluation. Filip Radlinski, Yisong Yue. SIGIR 2011, 1301-1302. Web SearchBibTeXDownload
24Inferring and using location metadata to personalize web search. Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz. SIGIR 2011, 135-144. Web SearchBibTeXDownload
23Personalizing web search using long term browsing history. Nicolaas Matthijs, Filip Radlinski. WSDM 2011, 25-34. Web SearchBibTeXDownload
22Detecting duplicate web documents using clickthrough data. Filip Radlinski, Paul N. Bennett, Emine Yilmaz. WSDM 2011, 147-156. Web SearchBibTeXDownload
2010
21Learning optimally diverse rankings over large document collections. Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi. CoRR (abs/1005.5197) (2010). Web SearchBibTeXDownload
20Metrics for assessing sets of subtopics. Filip Radlinski, Martin Szummer, Nick Craswell. SIGIR 2010, 853-854. Web SearchBibTeXDownload
19Comparing the sensitivity of information retrieval metrics. Filip Radlinski, Nick Craswell. SIGIR 2010, 667-674. Web SearchBibTeXDownload
18Inferring query intent from reformulations and clicks. Filip Radlinski, Martin Szummer, Nick Craswell. WWW 2010, 1171-1172. Web SearchBibTeXDownload
2009
17Redundancy, diversity and interdependent document relevance. Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims. SIGIR Forum (43): 46-52 (2009). Web SearchBibTeXDownload
2008
16How does clickthrough data reflect retrieval quality?. Filip Radlinski, Madhu Kurup, Thorsten Joachims. CIKM 2008, 43-52. Web SearchBibTeXDownload
15Learning diverse rankings with multi-armed bandits. Filip Radlinski, Robert Kleinberg, Thorsten Joachims. ICML 2008, 784-791. Web SearchBibTeXDownload
14Mortal Multi-Armed Bandits. Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal. NIPS 2008, 273-280. Web SearchBibTeXDownload
13Optimizing relevance and revenue in ad search: a query substitution approach. Filip Radlinski, Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Lance Riedel. SIGIR 2008, 403-410. Web SearchBibTeXDownload
2007
12Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay. ACM Trans. Inf. Syst. (25) (2007). Web SearchBibTeXDownload
11Recommending Related Papers Based on Digital Library Access Records. Stefan Pohl, Filip Radlinski, Thorsten Joachims. CoRR (abs/0704.2902) (2007). Web SearchBibTeXDownload
10Search Engines that Learn from Implicit Feedback. Thorsten Joachims, Filip Radlinski. IEEE Computer (40): 34-40 (2007). Web SearchBibTeXDownload
9Recommending related papers based on digital library access records. Stefan Pohl, Filip Radlinski, Thorsten Joachims. JCDL 2007, 417-418. Web SearchBibTeXDownload
8Active exploration for learning rankings from clickthrough data. Filip Radlinski, Thorsten Joachims. KDD 2007, 570-579. Web SearchBibTeXDownload
7A support vector method for optimizing average precision. Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims. SIGIR 2007, 271-278. Web SearchBibTeXDownload
2006
6Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. Filip Radlinski, Thorsten Joachims. AAAI 2006, 1406-1412. Web SearchBibTeXDownload
5Evaluating the Robustness of Learning from Implicit Feedback. Filip Radlinski, Thorsten Joachims. CoRR (abs/cs/0605036) (2006). Web SearchBibTeXDownload
4Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs. Filip Radlinski, Thorsten Joachims. CoRR (abs/cs/0605037) (2006). Web SearchBibTeXDownload
3Query Chains: Learning to Rank from Implicit Feedback. Filip Radlinski, Thorsten Joachims. CoRR (abs/cs/0605035) (2006). Web SearchBibTeXDownload
2Improving personalized web search using result diversification. Filip Radlinski, Susan T. Dumais. SIGIR 2006, 691-692. Web SearchBibTeXDownload
2005
1Query chains: learning to rank from implicit feedback. Filip Radlinski, Thorsten Joachims. KDD 2005, 239-248. Web SearchBibTeXDownload
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References
1. ^ WWW2010 – Raleigh: Committee - Retrieved 2011-03-19 - details
2. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
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