Recommender system

Results: 1335



#Item
821Human communication / Culture / Recommender system / Collaborative software / Collaboration / Collaborative consumption / Human behavior

CollaborativeLab logo WHITE

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Source URL: www.nesta.org.uk

Language: English - Date: 2014-09-19 06:48:10
822Curriculum vitae / Recommender system / Employment / Recruitment / Graduate school

Dean Elsbeth Melville Scholarship The Dean Elsbeth Melville Scholarship was established in 1978 by the Trustees of Boston University to honor Dean Elsbeth Melville’s “splendid and varied contribution” to the educat

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Source URL: www.bu.edu

Language: English - Date: 2014-01-24 16:00:54
823Titles / Graduate school / Recommender system / Professor / Salisbury University / Education / Academia / Knowledge

OFFICE OF GRADUATE STUDIES and RESEARCH INSTRUCTIONS FOR LETTER of RECOMMENDATION Salisbury University graduate programs require three (3) letters of recommendation, typically satisfied by two (2) academic instructors o

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Source URL: www.salisbury.edu

Language: English - Date: 2014-11-18 12:03:35
824Recommender system

RECOMMENDATION FORM Please submit directly to [removed] no later than Friday, January 9, [removed]The Student Advisory Committee (SAC) is comprised of up to twenty Active Minds chapter leaders from across the US

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Source URL: www.activeminds.org

Language: English - Date: 2014-11-05 10:24:37
    825Medical education / Recommender system / Law clerk / Family Educational Rights and Privacy Act / Legal education / Clerkship / Q / Law / Medical education in the United States / Legal professions

    RECOMMENDATION LETTER CHECKLIST 1) Contact your faculty recommenders well in advance of when you will need your letter drafted. 2) Supply your recommender with your resume, grades, and a personal summary (why you want to

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    Source URL: law.richmond.edu

    Language: English - Date: 2014-12-12 07:38:23
    826Recommender systems / Collective intelligence / Social information processing / Collaborative filtering / Linked data / Linear regression / Regression analysis / R / ADAPA / Statistics / Econometrics / Collaboration

    A Hybrid Multi-Strategy Recommender System Using Linked Open Data Petar Ristoski1 and Eneldo Loza Menc´ıa2 and Heiko Paulheim1 1 University of Mannheim, Germany Research Group Data and Web Science

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    Source URL: 2014.eswc-conferences.org

    Language: English - Date: 2014-04-24 16:51:34
    827Tf*idf / Bibliographic coupling / Relevance / Recommender system / Information science / Information retrieval / Science

    Recommender Systems using Pennant Diagrams in Digital Libraries Zeljko Carevic1, Philipp Mayr Introduction Recommender systems in search systems are an established way of pointing the user to related

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    Source URL: at-web1.comp.glam.ac.uk

    Language: English - Date: 2014-09-03 04:10:30
    828Collective intelligence / Semantic Web / World Wide Web / Statistical classification / Science / Recommender system / Collaborative filtering / Naive Bayes classifier / Cold start / Statistics / Information science / Machine learning

    Popular Books and Linked Data: Some Results for the ESWC’14 RecSys Challenge Michael Schuhmacher, Christian Meilicke Research Group Data and Web Science, University of Mannheim {michael,christian}@informatik.uni-mannhe

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    Source URL: dws.informatik.uni-mannheim.de

    Language: English - Date: 2014-09-29 11:42:09
    829Recommender system / Association of Public and Land-Grant Universities / Association of American Universities

    THE BART KAMEN MEMORIAL FIRST® SCHOLARSHIP Deadline for submission online or postmark: February 1, [removed]:59 pm ET TO THE TEACHER/COUNSELOR/FIRST MENTOR This student is applying for a scholarship from The Bart Kamen Me

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    Source URL: www.usfirst.org

    Language: English - Date: 2013-12-30 07:13:29
    830Information systems / Cross-platform software / Computing / Cold start / MovieLens / Apache Ant / Software / Recommender system / Collective intelligence

    Institut für Informatik und Wirtschaftsinformatik Web Mining – FSS[removed]Lehrstuhl für

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    Source URL: dws.informatik.uni-mannheim.de

    Language: English - Date: 2014-09-29 11:42:15
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