Ranking function - PDFSEARCH.IO - Document Search Engine

Ranking function
Results: 209

#	Item
31	Ricoh Research at TREC 2006: Enterprise Track Ganmei You, Yaojie Lu, Gang Li, Yueyan Yin Ricoh Software Research Center Beijing Co., Ltd, Beijing, China {ganmei.you, yaojie.lu, gang.li, yueyan.yin}@srcb.ricoh.com 1. Abs Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2007-02-16 13:07:45 Relevance feedback Tf*idf Precision and recall Relevance Search engine indexing Okapi BM25 Ranking function Information science Information retrieval Query expansion
32	Million Query Track 2007 Overview James Allan, Ben Carterette, Javed A. Aslam+, Virgil Pavlu+, Blagovest Dachev, and Evangelos Kanoulas+ Center for Intelligent Information Retrieval, Department of Computer Science U Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-05-13 09:31:51 Precision and recall Ranking function Query likelihood model Relevance Tf*idf Search engine indexing Variance Relevance feedback Fuzzy retrieval Information science Information retrieval Science
33	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
34	A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval Min Zhang Xingyao Ye Add to Reading List Source URL: www.thuir.cn Language: English - Date: 2008-12-23 05:27:37 Okapi BM25 Text Retrieval Conference Relevance Language model Tf*idf Probabilistic relevance model Ranking function Precision and recall N-gram Information science Information retrieval Science
35	Quality-biased Ranking for Queries with Commercial Intent Alexander Shishkin Polina Zhinalieva Add to Reading List Source URL: www2013.org Language: English - Date: 2014-07-21 08:46:54 Learning to rank Relevance Ranking function IR evaluation Discounted cumulative gain Yandex Web search engine Search engine Ranking Information science Information retrieval Science
36	Efﬁciency Trade-Offs in Two-Tier Web Search Systems Ricardo Baeza-Yates Yahoo! Research DiagonalBarcelona Spain Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2013-04-05 04:39:36 Query expansion Search engine indexing Precision and recall Document retrieval Ranking function Text Retrieval Conference Information science Information retrieval Science
37	University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web tracks Rodrygo L. T. Santos, Richard McCreadie, Craig Macdonald, and Iadh Ounis School of Computing Science University of Glasgow G12 8QQ, Glas Add to Reading List Source URL: terrierteam.dcs.gla.ac.uk Language: English - Date: 2011-03-03 07:13:46 Science Learning to rank Machine learning Ranking function Ranking Blog Information science Information retrieval Natural language processing
38	Query by Document Yin Yang Nilesh Bansal Wisam Dakka Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:34 Query expansion Ranking function Relevance feedback Document retrieval Search engine indexing Information science Information retrieval Tf*idf
39	Selectively Diversifying Web Search Results Rodrygo L. T. Santos Craig Macdonald Add to Reading List Source URL: terrierteam.dcs.gla.ac.uk Language: English - Date: 2010-08-16 08:20:50 Ranking function Web search query Nearest neighbor search Document retrieval Relevance Google Search Information science Information retrieval Query expansion
40	Microsoft Word - trec-hard2005-Rutgers.doc Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:44 Query expansion Web search query Full text search Lemur Project Precision and recall Google Search Query Ranking function Relevance Information science Information retrieval Relevance feedback