Learning to rank

Results: 420



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341

Lifelong Learner Self-Evaluation Based on the questions below, please assess your learning in this class. Use the behavior continuum below to rank the questions. Circle your answers. Behaviour Continuum

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Source URL: www.spiritsd.ca

- Date: 2012-03-07 18:07:36
    342Text Retrieval Conference / Relevance feedback / Query expansion / Learning to rank / Special Interest Group on Information Retrieval / Relevance / TREC Genomics / Human–computer information retrieval / Information science / Information retrieval / Science

    University of Essex at the TREC 2012 Session Track M-Dyaa Albakour∗, University of Glasgow Udo Kruschwitz, University of Essex [removed], [removed]

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    Source URL: trec.nist.gov

    Language: English - Date: 2013-02-12 08:11:22
    343Tf*idf / Ranking function / BM25 / Search engine indexing / Inverted index / Enterprise search / 0 / Learning to rank / Information science / Information retrieval / Okapi BM25

    Lessons Learned from Indexing Close Word Pairs Leonid Boytsov and Anna Belova [removed], [removed] TREC-19, November 2010, Gaithersburg, Maryland, USA We describe experiments with proximity-aware ranking fu

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    Source URL: trec.nist.gov

    Language: English - Date: 2011-02-24 06:40:05
    344Bing / Google Search / Web search engine / Learning to rank / Web query classification / Web search query / Information science / Information retrieval / Internet search engines

    (Not Too) Personalized Learning to Rank for Contextual Suggestion Andrew Yates1, Dave DeBoer1, Hui Yang1, Nazli Goharian1, Steve Kunath2, Ophir Frieder1 1 Department of Computer Science, Georgetown University 2

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    Source URL: trec.nist.gov

    Language: English - Date: 2013-02-12 08:11:17
    345Natural language processing / Computational linguistics / Stemming / Text Retrieval Conference / Relevance / Document retrieval / Human–computer information retrieval / Learning to rank / Information science / Information retrieval / Science

    UCD SIFT in the TREC 2010 Web Track: Notebook Paper David Leonard, Lusheng Zhang, David Lillis, Fergus Toolan, Rem W. Collier, and John Dunnion School of Computer Science and Informatics University College Dublin, Irelan

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    Source URL: trec.nist.gov

    Language: English - Date: 2011-05-26 14:12:39
    346Learning to rank / Twitter / Relevance / Query expansion / Precision and recall / Machine learning / Algorithm / Tf*idf / Information science / Information retrieval / Science

    The University of Amsterdam at TREC 2012 Richard Berendsen Edgar Meij Daan Odijk Maarten de Rijke Wouter Weerkamp ISLA, University of Amsterdam http://ilps.science.uva.nl/ Abstract: We describe the participation of the

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    Source URL: trec.nist.gov

    Language: English - Date: 2013-02-12 08:11:22
    347Science / Learning to rank / Machine learning / Ranking function / Ranking / Blog / Information science / Information retrieval / Natural language processing

    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

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    Source URL: trec.nist.gov

    Language: English - Date: 2011-03-01 11:51:26
    348Relevance feedback / Learning to rank / Vector space model / Text Retrieval Conference / Tf*idf / Ranking SVM / Twitter / Relevance / Ranking function / Information science / Information retrieval / Science

    PKUICST at TREC 2012 Microblog Track Feng Liang Runwei Qiang Yihong Hong Yue Fei Jianwu Yang {liangfeng,qiangrw,hongyihong,feiyue,yangjw}@pku.edu.cn ∗

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    Source URL: trec.nist.gov

    Language: English - Date: 2013-02-12 08:11:20
    349Learning to rank / Query expansion / Google Search / Search engine indexing / Ranking / Web search engine / Relevance / Information science / Information retrieval / PageRank

    ICTNET at Session Track TREC 2012 , , ,

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    Source URL: trec.nist.gov

    Language: English - Date: 2013-02-12 08:11:18
    350Relevance feedback / Blog / Baseline / Sphere / Relevance / Learning to rank / Information science / Information retrieval / Science

    Overview of the TREC-2010 Blog Track Iadh Ounis, Craig Macdonald Ian Soboroff University of Glasgow

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    Source URL: trec.nist.gov

    Language: English - Date: 2012-09-18 08:46:29
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