SIGIR 2007 Proceedings Session 16: Learning to Rank II

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Date: 2009-07-21 18:56:19 Information retrieval Ensemble learning Learning to rank Ranking SVM Ranking function AdaBoost BM25 Support vector machine Boosting Machine learning Information science Artificial intelligence		SIGIR 2007 Proceedings Session 16: Learning to Rank II Add to Reading List Source URL: research.microsoft.com Download Document from Source Website File Size: 864,70 KB Share Document on Facebook

	Learning to select a ranking function Jie Peng, Craig Macdonald, and Iadh Ounis Department of Computing Science, University of Glasgow, G12 8QQ, UK {pj, craigm, ounis}@dcs.gla.ac.uk DocID: 1slqY - View Document
	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 DocID: 1qSCZ - View Document
	IMPROVING THE RANKING SYSTEM FOR WOMEN’S PROFESIONAL TENNIS By MAYA MILADINOVIC DocID: 1pIb9 - View Document
	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 DocID: 1puOe - View Document
	BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un DocID: 1ninV - View Document