Discounted cumulative gain - PDFSEARCH.IO - Document Search Engine

Discounted cumulative gain
Results: 136

#	Item
31	Helioid at TREC-Legal 2011: Learning to Rank from Relevance Feedback for e-Discovery Peter Lubell-Doughtie and Kenneth Hamilton Helioid Inc., New York, NY, USA {peter,kenneth}@helioid.com Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:35 Learning to rank Relevance Text Retrieval Conference Query expansion Precision and recall Discounted cumulative gain Document retrieval Google Search Search engine Information science Information retrieval Relevance feedback
32	Diversifying Search Results Rakesh Agrawal Sreenivas Gollapudi Search Labs Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:39 Information Web query classification Discounted cumulative gain IR evaluation Document classification Relevance Precision and recall Relevance feedback Uncertain inference Information science Information retrieval Science
33	UCD SIFT in the TREC 2011 Web Track David Leonard, Doychin Doychev, David Lillis, Fergus Toolan, Rem W. Collier, and John Dunnion School of Computer Science and Informatics University College Dublin, Ireland {david.leona Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:33 Learning to rank Text Retrieval Conference Relevance Document retrieval Precision and recall Discounted cumulative gain Relevance feedback Information science Information retrieval Science
34	Overview of the TREC 2011 Session Track Evangelos Kanoulas∗ 1 Ben Carterette† Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-05-18 06:40:35 Relevance Discounted cumulative gain Precision and recall Text Retrieval Conference Information science Information retrieval Science
35	On the Usefulness of Query Features for Learning to Rank Craig Macdonald Rodrygo L.T. Santos Iadh Ounis Add to Reading List Source URL: dcs.gla.ac.uk Language: English - Date: 2012-11-19 07:56:49 Web search query Google Search Discounted cumulative gain Information science Information retrieval Learning to rank
36	The University of Amsterdam at the TREC 2011 Session Track Bouke Huurnink Richard Berendsen Edgar Meij Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:34 Learning to rank Query expansion Text Retrieval Conference Google Search Document retrieval Discounted cumulative gain N-gram Language model Relevance feedback Information science Information retrieval Science
37	Microsoft Research at TREC 2011 Web Track Bodo Billerbeck, Nick Craswell, Dennis Fetterly, Marc Najork Microsoft Abstract This paper describes our entry into the TREC 2011 Web track. We extracted and ranked results from Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:35 Relevance feedback Text Retrieval Conference Query expansion Discounted cumulative gain Information science Information retrieval Science
38	The University Carlos III of Madrid at TREC 2011 Crowdsourcing Track Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-03-23 13:20:30 Information Library science Natural language processing Bioinformatics Precision and recall Discounted cumulative gain Relevance Subject Relevance feedback Science Information science Information retrieval
39	Evaluating Learning-to-Rank Methods in the Web Track Adhoc Task. Leonid Boytsov and Anna Belova , TREC-20, November 2011, Gaithersburg, Maryland, USA Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:36 BM25 Query expansion Relevance Google Search PageRank Search engine optimization Discounted cumulative gain Search engine indexing Bing Information science Information retrieval Ranking function
40	On the Usefulness of Query Features for Learning to Rank Craig Macdonald Rodrygo L.T. Santos Iadh Ounis Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2012-11-19 07:56:49 Web search query Google Search Discounted cumulative gain Information science Information retrieval Learning to rank