Learning to rank - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2007-09-14 21:35:56 Learning to rank Ranking function Discounted cumulative gain Information retrieval Gradient boosting Supervised learning Regression analysis Cross-validation Support vector machine Statistics Machine learning Artificial intelligence		Add to Reading List Source URL: www.cc.gatech.edu Download Document from Source Website File Size: 141,67 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