Learning to rank

Results: 420



#Item
301Natural language processing / Computational linguistics / Language model / N-gram / Learning to rank / Query expansion / Relevance / Information science / Information retrieval / Science

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:25
302Query 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

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

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-03 09:45:07
303Web query classification / Web search query / Lemur Project / Precision and recall / Search engine indexing / Discounted cumulative gain / Bing / Learning to rank / Ranking SVM / Information science / Information retrieval / Ranking function

Northeastern University in TREC 2009 Million Query Track Evangelos Kanoulas‡ , Keshi Dai∗ , Virgil Pavlu∗ , Stefan Savev∗ , Javed Aslam∗ ‡

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 08:07:16
304Relevance feedback / PageRank / Learning to rank / Text Retrieval Conference / Document retrieval / Discounted cumulative gain / Relevance / HITS algorithm / Ranking function / Information science / Information retrieval / Science

Microsoft Research at TREC 2009 Web and Relevance Feedback Tracks Nick Craswell, Dennis Fetterly, Marc Najork, Stephen Robertson, Emine Yilmaz Microsoft Research

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-03 12:40:38
305Level of measurement / Supervised learning / Support vector machine / Ordinal number / Perceptron / Total order / Multiclass classification / Learning to rank / Statistics / Machine learning / Statistical classification

1 Reduction from Cost-sensitive Ordinal Ranking to Weighted Binary Classification Hsuan-Tien Lin1 and Ling Li2

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Source URL: www.csie.ntu.edu.tw

Language: English - Date: 2011-10-30 10:00:54
306Relevance feedback / Lemur Project / Relevance / Tf*idf / Query expansion / Document clustering / Document retrieval / Learning to rank / Document classification / Information science / Information retrieval / Science

UCSC at Relevance Feedback Track Lanbo Zhang, Yi Zhang Jadiel de Arma∗ Kai Yu

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 08:03:42
307Natural language processing / Computational linguistics / Information / Text Retrieval Conference / Relevance / Information extraction / Learning to rank / Named-entity recognition / Wikipedia / Information science / Science / Information retrieval

Overview of the TREC 2009 Entity Track Krisztian Balog University of Amsterdam [removed] Pavel Serdyukov TU Delft, The Netherlands

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Source URL: trec.nist.gov

Language: English - Date: 2010-03-02 08:03:40
308Association of Public and Land-Grant Universities / Committee on Institutional Cooperation / Educational technology / UIUC Graduate School of Library and Information Science / Learning management systems / University of Illinois at Urbana–Champaign / Moodle / LEEP Online Education / Education / Champaign County /  Illinois / University of Illinois

GRADUATE SCHOOL OF LIBRARY AND INFORMATION SCIENCE (GSLIS) University of Illinois at Urbana-Champaign Adjunct Faculty Open Rank Positions GSLIS is accepting applications for adjunct faculty to teach graduate courses in

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Source URL: webdocs.lis.illinois.edu

Language: English - Date: 2013-09-12 13:36:57
309Information / Relevance / Precision and recall / Need for cognition / Learning to rank / Evidence / Relevance feedback / Information science / Information retrieval / Science

The Effect of Threshold Priming and Need for Cognition on Relevance Calibration and Assessment Falk Scholer School of Computer Science and Information Technology RMIT University

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Source URL: www.williamwebber.com

Language: English - Date: 2013-12-02 21:50:21
310Knowledge / Natural language processing / Association for Computing Machinery / Learning to rank / RMIT University / EN series / Education / Academia / Information retrieval

Content today Evaluation II •Review exercise you did •Statistical significance

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Source URL: www.seg.rmit.edu.au

Language: English - Date: 2013-02-26 19:51:49
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