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research on online learning to rank for information retrieval (by Katja Hofmann)
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Katja Hofmann of search Katja Hofmann research on on online learning to Hofmann research on online online learning to rank research on online learning of search engine information retrieval form of evaluation part of amount of search engines needs to Practical Online Retrieval Evaluation based on clicks on online evaluation reinforcement learning useful information Xinyi Li joins ILPS one based on Post Recent be supervised by Maarten feedback is Alexey Borisov joins ILPS thesis method called Probabilistic user behavior balancing exploration probabilistic interleaving interleaved list original rankings PhD student Filip Radlinski Anne Schuth Interleaved comparison user interactions comparison method work Follow results highly tutorial website copy documents data slides
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Interne Links
Externe Links
| Anchor | URL |
|---|---|
| ECIR 2013 | http://ecir2013.org/ |
| PPT | http://sdrv.ms/X19kUZ |
| Yisong’s website | http://www.yisongyue.com/research.php |
| Balancing Exploration and Exploitation in Online Learning to Rank for IR | http://www.springerlink.com/content/h567t8638817x201/ |
| Information Retrieval | http://www.springer.com/computer/database+management+%26+information+retrieval/journal/107... |
| CIKM 2011 | http://www.cikm2011.org/ |
| Recent Tweets | http://twitter.com/katjahofmann |
| drdanoconnor | http://twitter.com/drdanoconnor |
| 1 week ago | http://twitter.com/katjahofmann/statuses/521339248977670147 |
| ucl.ac.uk/uclic/uclic-ne... | http://www.ucl.ac.uk/uclic/uclic-news-publication/Seminar32 |
