Query likelihood model - PDFSEARCH.IO - Document Search Engine

Query likelihood model
Results: 40

#	Item
21	Team IRLabDAIICT at ShARe/CLEF eHealth 2014 Task 3: User-centered Information Retrieval system for Clinical Documents Harsh Thakkar1 , Ganesh Iyer2 , Kesha Shah3 , Prasenjit Majumder4 Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-07-24 09:14:18 Tf*idf Query likelihood model Query expansion Document retrieval Okapi BM25 Vector space model Relevance Language model Precision and recall Information science Information retrieval Relevance feedback
22	Exploring effective information retrieval technique for the medical web documents: SNUMedinfo at CLEFeHealth2014 Task 3 Sungbin Choi, Jinwook Choi Medical Informatics Laboratory, Seoul National University, Seoul, Republi Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-07-24 07:00:48 Search engine indexing Learning to rank Query likelihood model Relevance Search engine Unified Medical Language System Discounted cumulative gain Relevance feedback XML-Retrieval Information science Information retrieval Query expansion
23	The University of Iowa at CLEF 2014: eHealth Task 3 Chao Yang, Sanmitra Bhattacharya, and Padmini Srinivasan Department of Computer Science, University of Iowa, Iowa City, IA, USA {chao-yang,sanmitra-bhattacharya,padmini Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-07-24 09:18:12 Relevance feedback Precision and recall Query expansion Query likelihood model Relevance Discounted cumulative gain Information science Information retrieval Science
24	R Foundations and Trends in Information Retrieval Vol. 2, No[removed]–213 c 2008 C. Zhai Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2009-03-01 21:57:03 Language model N-gram Tf*idf Vector space model Relevance Maximum likelihood Query likelihood model Probabilistic relevance model Information science Information retrieval Science
25	The Bias Problem and Language Models in Adaptive Filtering Yi Zhang Jamie Callan Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 09:50:34 Statistics Relevance feedback Recommender system Tf*idf Language model Document classification Query expansion Maximum likelihood Speech recognition Information science Science Information retrieval
26	QU at TREC-2013: Expansion Experiments for Microblog Ad hoc Search Maram Hasanain, Latifa Al-Marri, and Tamer Elsayed Computer Science and Engineering Department Qatar University Doha, Qatar Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:27 Text Retrieval Conference Relevance feedback Twitter Query expansion Query likelihood model Relevance Information science Information retrieval Science
27	TREC 2013 Microblog Track Experiments at Kobe University Taiki Miyanishi, Sayaka Kitaguchi, Kazuhiro Seki, and Kuniaki Uehara Graduate School of System Informatics Kobe University, 1-1 Rokkodai, Nada-ku, Kobe, Hyogo, 657 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:26 Relevance feedback Relevance Query likelihood model Query expansion Twitter Language model Information science Information retrieval Science
28	University of Waterloo at the TREC 2013 Temporal Summarization Track Gaurav Baruah1 , Rakesh Guttikonda1 , Adam Roegiest1 and Olga Vechtomova2 1 David R. Cheriton School of Computer Science, University of Waterloo Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:27 Query expansion Relevance feedback Tf*idf Ranking function Relevance Okapi BM25 Query likelihood model Search engine indexing Document retrieval Information science Information retrieval Science
29	Mirex and Taily at TREC 2013 Robin Aly1 , Djoerd Hiemstra2 , Dolf Trieschnigg1 , Thomas Demeester3 1 Human Media Interaction Group University of Twente, 2 Database Group University of Twente, 3 Ghent University - iMinds Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:26 Ranking function Query likelihood model Search engine indexing Precision and recall N-gram Document retrieval Search engine Web search engine Discounted cumulative gain Information science Information retrieval Science
30	UMass Amherst and UT Austin @ The TREC 2009 Relevance Feedback Track Marc-Allen Cartright and Jangwon Seo Matthew Lease Center for Intelligent Information Retrieval School of Information Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-03 09:45:07 Query expansion Learning to rank Document retrieval Relevance Search engine indexing Text Retrieval Conference Recommender system Query likelihood model Human–computer information retrieval Information science Information retrieval Relevance feedback

UPDATE