- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| c21 |      | |
| c20 | | Filip Radlinski, Nick Craswell: Optimized interleaving for online retrieval evaluation. WSDM 2013: 245-254 |
| 2012 | ||
| j4 | | Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue: Large-scale validation and analysis of interleaved search evaluation. ACM Trans. Inf. Syst. 30(1): 6 (2012) |
| c19 | | Katja Hofmann, Fritz Behr, Filip Radlinski: On caption bias in interleaving experiments. CIKM 2012: 115-124 |
| 2011 | ||
| c18 | | Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz: Inferring and using location metadata to personalize web search. SIGIR 2011: 135-144 |
| c17 | | |
| c16 | | Nicolaas Matthijs, Filip Radlinski: Personalizing web search using long term browsing history. WSDM 2011: 25-34 |
| c15 | | Filip Radlinski, Paul N. Bennett, Emine Yilmaz: Detecting duplicate web documents using clickthrough data. WSDM 2011: 147-156 |
| 2010 | ||
| c14 | | Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi: Learning optimally diverse rankings over large document collections. ICML 2010: 983-990 |
| c13 | | Filip Radlinski, Nick Craswell: Comparing the sensitivity of information retrieval metrics. SIGIR 2010: 667-674 |
| c12 | | Filip Radlinski, Martin Szummer, Nick Craswell: Metrics for assessing sets of subtopics. SIGIR 2010: 853-854 |
| c11 | | Filip Radlinski, Martin Szummer, Nick Craswell: Inferring query intent from reformulations and clicks. WWW 2010: 1171-1172 |
| i5 | | Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi: Learning optimally diverse rankings over large document collections. CoRR abs/1005.5197 (2010) |
| 2009 | ||
| j3 | | Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims: Redundancy, diversity and interdependent document relevance. SIGIR Forum 43(2): 46-52 (2009) |
| 2008 | ||
| c10 | | Filip Radlinski, Madhu Kurup, Thorsten Joachims: How does clickthrough data reflect retrieval quality? CIKM 2008: 43-52 |
| c9 | | Filip Radlinski, Robert Kleinberg, Thorsten Joachims: Learning diverse rankings with multi-armed bandits. ICML 2008: 784-791 |
| c8 | | Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal: Mortal Multi-Armed Bandits. NIPS 2008: 273-280 |
| c7 | | Filip Radlinski, Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Lance Riedel: Optimizing relevance and revenue in ad search: a query substitution approach. SIGIR 2008: 403-410 |
| 2007 | ||
| j2 | | Thorsten Joachims, Filip Radlinski: Search Engines that Learn from Implicit Feedback. IEEE Computer 40(8): 34-40 (2007) |
| j1 | | 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. ACM Trans. Inf. Syst. 25(2) (2007) |
| c6 | | Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending related papers based on digital library access records. JCDL 2007: 417-418 |
| c5 | | Filip Radlinski, Thorsten Joachims: Active exploration for learning rankings from clickthrough data. KDD 2007: 570-579 |
| c4 | | Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims: A support vector method for optimizing average precision. SIGIR 2007: 271-278 |
| i4 | | Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending Related Papers Based on Digital Library Access Records. CoRR abs/0704.2902 (2007) |
| 2006 | ||
| c3 | | Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. AAAI 2006: 1406-1412 |
| c2 | | Filip Radlinski, Susan T. Dumais: Improving personalized web search using result diversification. SIGIR 2006: 691-692 |
| i3 | | Filip Radlinski, Thorsten Joachims: Query Chains: Learning to Rank from Implicit Feedback. CoRR abs/cs/0605035 (2006) |
| i2 | | Filip Radlinski, Thorsten Joachims: Evaluating the Robustness of Learning from Implicit Feedback. CoRR abs/cs/0605036 (2006) |
| i1 | | Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs. CoRR abs/cs/0605037 (2006) |
| 2005 | ||
| c1 | | Filip Radlinski, Thorsten Joachims: Query chains: learning to rank from implicit feedback. KDD 2005: 239-248 |
Colors in the list of coauthors
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