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#	Item
771	Microblog TRACK 2011 of FDU Bingqing Wang School of Computer Science Fudan University Shanghai, China, 200433 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:50 Natural language processing Twitter Cross-platform software Text messaging Tf*idf Latent semantic analysis Relevance feedback Lucene Tweet Information science Information retrieval Science
772	Fujitsu Laboratories TREC8 Report {Ad hoc, Small Web, and Large Web Track { Isao Namba Nobuyuki Igata Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2000-02-08 12:58:20 Natural language processing Computational linguistics Searching Database management systems Query expansion N-gram Text Retrieval Conference Search engine indexing Tf*idf Information science Information retrieval Science
773	Fujitsu Laboratories TREC2001 Report Isao Namba Fujitsu Laboratories Ltd. Abstract Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 08:34:33 Text Retrieval Conference Query expansion Google Search PageRank Ranking Full text search Search engine Bing Learning to rank Information science Information retrieval Tf*idf
774	Microsoft Word - IIT_Trec2007_Genomics.doc Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-02-05 08:34:28 Search engine indexing Tf*idf Text Retrieval Conference Document retrieval Concept Search Subject Book:Information retrieval Information science Information retrieval Science
775	MICROBLOG RETRIEVAL USING TOPICAL FEATURES AND QUERY EXPANSION Cher Han Lau, YueFeng Li, Dian Tjondronegoro Queensland University of Technology ABSTRACT Retrieving information from Twitter is always challenging given its Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:32 Query expansion Relevance feedback Relevance Twitter Precision and recall Vector space model Tf*idf Microblogging Text Retrieval Conference Information science Information retrieval Science
776	TREC 2007 Enterprise track at CSIRO Peter Bailey Deepak Agrawal Anuj Kumar Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-01-23 14:50:40 Search engine indexing Precision and recall Document retrieval Tf*idf Okapi BM25 Text Retrieval Conference Relevance Information science Information retrieval Science
777	External Knowledge Sources for Question Answering Boris Katz, Gregory Marton, Gary Borchardt, Alexis Brownell, Sue Felshin, Daniel Loreto, Jesse Louis-Rosenberg, Ben Lu, ¨ Federico Mora, Stephan Stiller, Ozlem Uzuner, A Add to Reading List Source URL: start.csail.mit.edu Language: English - Date: 2013-09-27 15:44:05 Information Question answering Precision and recall Mean reciprocal rank Tf*idf Wikipedia Document retrieval Yahoo! Answers Information science Information retrieval Science
778	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
779	FUB, IASI-CNR, UNIVAQ at TREC 2011 Microblog track Gianni Amati1 , Giuseppe Amodeo1,2,3 , Marco Bianchi1 , Alessandro Celi3 , Cesidio Di Nicola3 , Michele Flammini3 , Carlo Gaibisso2 , Giorgio Gambosi2 , and Giuseppe Mar Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:30 Information Relevance Precision and recall Query expansion Information theory Tf*idf Search engine indexing Relevance feedback Universal IR Evaluation Information science Information retrieval Science
780	Optimization in CLARIT TREC-8 Adaptive Filtering Chengxiang Zhai, Peter Jansen, Norbert Roma, Emilia Stoica, David A. Evans CLARITECH Corporation Abstract In this paper, we describe the system and methods used for the CL Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2000-02-04 12:44:49 Vector space model Tf*idf Relevance feedback Text Retrieval Conference Euclidean vector BM25 Okapi BM25 Information science Information retrieval Science