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» SOLAR: Scalable Online Learning Algorithms for Ranking
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NIPS
2003
14 years 3 days ago
Online Learning via Global Feedback for Phrase Recognition
We present a system to recognize phrases based on perceptrons, and a global online learning algorithm to train them together. The recognition strategy applies learning in two laye...
Xavier Carreras, Lluís Màrquez
ACL
1998
14 years 3 days ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 11 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
IFIP12
2010
13 years 9 months ago
Learning the Preferences of News Readers with SVM and Lasso Ranking
We attack the task of predicting which news-stories are more appealing to a given audience by comparing ‘most popular stories’, gathered from various online news outlets, over ...
Elena Hensinger, Ilias N. Flaounas, Nello Cristian...
BMCBI
2006
184views more  BMCBI 2006»
13 years 10 months ago
PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algo
Background: Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy ...
Maksim V. Plikus, Zina Zhang, Cheng-Ming Chuong