TREC 2005 Genomics Track at I2R

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Date: 2007-02-16 13:07:42 Text Retrieval Conference Relevance feedback Search engine indexing Relevance Document retrieval Query expansion Concept Search Learning to rank Information science Information retrieval Okapi BM25		TREC 2005 Genomics Track at I2R Add to Reading List Source URL: trec.nist.gov Download Document from Source Website File Size: 80,04 KB Share Document on Facebook

	Cascading Bandits: Learning to Rank in the Cascade Model Branislav Kveton Adobe Research, San Jose, CA Csaba Szepesv´ari Department of Computing Science, University of Alberta DocID: 1uHeV - View Document
	Learning to Rank By Aggregating Expert Preferences Maksims N. Volkovs Hugo Larochelle Richard S. Zemel DocID: 1tUcb - View Document
	McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University DocID: 1tgDg - View Document
	Tagging data as implicit feedback for learning-to-rank Beate Navarro Bullock Robert Jäschke Andreas Hotho DocID: 1soOw - View Document
	Regression Rank: Learning to Meet the Opportunity of Descriptive Queries Matthew Lease1 , James Allan2, and Bruce Croft2 1 Brown Laboratory for Linguistic Information Processing (BLLIP) DocID: 1sm9K - View Document