BibSonomy :: user :: beate

Machine Learning for IR: Recent Successes and New Opportunities - Microsoft Research
http://research.microsoft.com/en-us/events/ecir-2010-mlir-tutorial/
http://research.microsoft.com/en-us/events/ecir-2010-mlir-tutorial/
3 years and a month ago
by beate
1
ecir ir learning ml ranking
(0)
Advances in Ranking | Workshop at NIPS 2009
http://web.mit.edu/shivani/www/Ranking-NIPS-09/
http://web.mit.edu/shivani/www/Ranking-NIPS-09/
3 years and 3 months ago
by beate
1
2009 ir learning ranking workshop
(0)
Yahoo! Learning to Rank Challenge -
http://learningtorankchallenge.yahoo.com/index.php
http://learningtorankchallenge.yahoo.com/index.php
3 years and 3 months ago
by beate
1
challenge learning ranking yahoo
(0)
Unsupervised Rank Aggregation with Distance-Based Models
Concepts · http://videolectures.net/icml08_klementiev_ura/
Concepts · http://videolectures.net/icml08_klementiev_ura/
4 years and 3 months ago
by beate
1
EM learning model randking rank-aggregation search unsupervised
(0)
Osmot Search Engine
http://radlinski.org/osmot/
http://radlinski.org/osmot/
4 years and 3 months ago
by beate
1
implicit-feedback learning ranking search search-engine
(0)
Learning with Kernels
http://www.learning-with-kernels.org/
http://www.learning-with-kernels.org/
4 years and 4 months ago
by beate
4
book classification kernel learning svm
(0)
Learning to Rank | Workshop at NIPS 2005
http://web.mit.edu/shivani/www/Ranking-NIPS-05/
http://web.mit.edu/shivani/www/Ranking-NIPS-05/
6 years and a month ago
by beate
2
learning ranking workshop
(0)
LETOR: Benchmark Datasets for Learning to Rank
http://research.microsoft.com/users/tyliu/LETOR/
http://research.microsoft.com/users/tyliu/LETOR/
6 years and a month ago
by beate
3
benchmark learning microsoft ranking
(0)
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Active Exploration for Learning Rankings from Clickthrough Data
F. Radlinski, and T. Joachims. ACM SIGKDD International Conference On Knowledge Discovery and Data Mining KDD, (2007)
F. Radlinski, and T. Joachims. ACM SIGKDD International Conference On Knowledge Discovery and Data Mining KDD, (2007)
2 years and 3 months ago
by beate
4
TREC clickthrough learning rankings
(0)
URLDOITeX
Improving quality of training data for learning to rank using click-through data
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, and Elbio Renato Torres Abib. WSDM '10: Proceedings of the third ACM international conference on Web search and data mining, page 171--180. New York, NY, USA, ACM, (2010)
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, and Elbio Renato Torres Abib. WSDM '10: Proceedings of the third ACM international conference on Web search and data mining, page 171--180. New York, NY, USA, ACM, (2010)
2 years and 8 months ago
by beate
2
clickdata implicit-feedback learning learning-to-rank msn search
(0)
URL DOI TeX
Optimizing Search Engines Using Clickthrough Data
T. Joachims. ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD, page 133--142. (2002)
T. Joachims. ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD, page 133--142. (2002)
3 years and a month ago
by beate
17
clickdata ir learning learning-to-rank ranking svm
(0)
URLDOITeX
Learning to rank using gradient descent
Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. ICML '05: Proceedings of the 22nd international conference on Machine learning, page 89--96. New York, NY, USA, ACM, (2005)
Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. ICML '05: Proceedings of the 22nd international conference on Machine learning, page 89--96. New York, NY, USA, ACM, (2005)
3 years and 3 months ago
by beate
9
feedback gradient ir learning ranking search
(0)
URL DOI TeX
Learning user interaction models for predicting web search result preferences
Eugene Agichtein, Eric Brill, Susan Dumais, and Robert Ragno. SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page 3--10. New York, NY, USA, ACM, (2006)
Eugene Agichtein, Eric Brill, Susan Dumais, and Robert Ragno. SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page 3--10. New York, NY, USA, ACM, (2006)
3 years and 3 months ago
by beate
6
clickdata learning preferences ranking search
(0)
URL DOI TeX
Revision learning and its application to part-of-speech tagging
Tetsuji Nakagawa, Taku Kudo, and Yuji Matsumoto. Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, page 497--504. Philadelphia, Pennsylvania, Association for Computational Linguistics, (2001)
Tetsuji Nakagawa, Taku Kudo, and Yuji Matsumoto. Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, page 497--504. Philadelphia, Pennsylvania, Association for Computational Linguistics, (2001)
4 years and 4 months ago
by beate
1
learning pos tagging
(0)
URLDOITeX
Learning implicit user interest hierarchy for context in personalization
Hyoung R. Kim, and Philip K. Chan. IUI '03: Proceedings of the 8th international conference on Intelligent user interfaces, page 101--108. New York, NY, USA, ACM Press, (2003)
Hyoung R. Kim, and Philip K. Chan. IUI '03: Proceedings of the 8th international conference on Intelligent user interfaces, page 101--108. New York, NY, USA, ACM Press, (2003)
5 years and 8 months ago
by beate
3
clustering learning user-profile
(0)
URL DOI TeX
Learning to order things
William W. Cohen, Robert E. Schapire, and Yoram Singer. NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10, page 451--457. Cambridge, MA, USA, MIT Press, (1998)
William W. Cohen, Robert E. Schapire, and Yoram Singer. NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10, page 451--457. Cambridge, MA, USA, MIT Press, (1998)
5 years and 8 months ago
by beate
2
hedge learning ranking
(0)
URLDOITeX
Query Chains: Learning to Rank from Implicit Feedback
F. Radlinski, and T. Joachims. ACM SIGKDD International Conference On Knowledge Discovery and Data Mining KDD, page 239--248. (2005)
F. Radlinski, and T. Joachims. ACM SIGKDD International Conference On Knowledge Discovery and Data Mining KDD, page 239--248. (2005)
5 years and 8 months ago
by beate
8
clickthrough learning query-chains ranking svm
(0)
URLDOITeX
Web 2.0 and E-Learning: "Drupaläs a CMS for learning communities
Kerres, and M.. (2007)
Kerres, and M.. (2007)
6 years and 3 months ago
by beate
6
elearning learning web2.0
(0)
URLDOITeX
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bookmarks (8)

publications (10)