Recommender system

Results: 1335



#Item
611Mathematics / Information science / Recommender system / Information retrieval / Social information processing / GroupLens Research / Collaborative filtering / Cold start / Slope One / Algebra / Collaboration / Collective intelligence

India-Norway Workshop on Web Concepts and Technologies, Trondheim, Norway, October 3rd, 2011 Adaptive Aggregation of Recommender Systems Olav Bjørkøy ([removed]) Department of Computer Sciences Norwegian U

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Source URL: www.bjorkoy.com

Language: English - Date: 2014-07-08 05:02:10
612Collective intelligence / Information systems / Recommender systems / Human–computer interaction / Collaborative filtering / Cold start / Personalization / Information filtering system / E-learning / Information science / Information retrieval / Science

Exploiting User Preference for Online Learning in Web Content Optimization Systems JIANG BIAN, Microsoft Research BO LONG, LinkedIn LIHONG LI, Microsoft Research TAESUP MOON, University of California at Berkerley

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Source URL: www.yichang-cs.com

Language: English - Date: 2013-09-02 22:30:25
613Recommender system / Sendai / Tohoku University / Graduate school

Microsoft Word - Recommendation_Form2.doc

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Source URL: www.econ.tohoku.ac.jp

Language: English - Date: 2010-11-23 22:06:06
614Collective intelligence / Human–computer interaction / Recommender system / User interface / Collaborative filtering / Human communication / Archy / Collaborative search engine / Collaborative information seeking / Information science / Information retrieval / Collaboration

A Zero-input Interface for Leveraging Group Experience in Web Browsing Taly Sharon, Henry Lieberman, Ted Selker MIT Media Lab 20 Ames St Cambridge, MA[removed]USA

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Source URL: web.media.mit.edu

Language: English - Date: 2003-01-24 17:29:36
615Probability theory / Statistical dependence / Recommender system / Collaborative filtering / Normal distribution / Science / Information science / Statistics / Independence

WWW 2012 – Session: Collaboration in Social Networks April 16–20, 2012, Lyon, France New Objective Functions for Social Collaborative Filtering Joseph Noel†∗ , Scott Sanner†∗ , Khoi-Nguyen Tran∗ , Peter Ch

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2014-11-03 14:45:34
616Information / Natural language processing / Data mining / Semantics / Recommender system / Collaborative filtering / Subject / Spreading activation / Relevance / Information science / Science / Information retrieval

Hebbian Algorithms for a Digital Library Recommendation System Francis Heylighen CLEA, Free University of Brussels http://pcp.vub.ac.be/HEYL.html Johan Bollen

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Source URL: pcp.vub.ac.be

Language: English - Date: 2014-05-02 12:27:25
617Annotation / Image retrieval / Statistics / Knowledge / Science / Semantic similarity / Recommender system / Text annotation

Modeling Personal and Social Network Context for Event Annotation in Images Bageshree Shevade Hari Sundaram

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2011-01-11 00:40:14
618Information / Natural language processing / Data mining / Semantics / Recommender system / Collaborative filtering / Subject / Spreading activation / Relevance / Information science / Science / Information retrieval

Hebbian Algorithms for a Digital Library Recommendation System Francis Heylighen CLEA, Free University of Brussels http://pcp.vub.ac.be/HEYL.html Johan Bollen

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Source URL: pcp.vub.ac.be

Language: English - Date: 2014-05-02 12:27:25
619User interface techniques / Collaboration / Human–computer interaction / User interface / Virtual reality / Science / Recommender system / Usability / Collaborative filtering / Information science / Human–computer interaction / Information retrieval

Searching the Web with a Little Help from your Friends Taly Sharon, Henry Lieberman, Ted Selker MIT Media Lab 20 Ames St Cambridge, MA[removed]USA {taly, lieber, selker}@media.mit.edu

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Source URL: web.media.mit.edu

Language: English - Date: 2003-01-24 17:06:58
620Pharmacology / Human–computer interaction / Insurance / Evaluation methods / Evidence-based medicine / Personalized medicine / Personalization / Recommender system / Actuarial science / Science / Information / Knowledge

Microsoft Word - LAI Tsz Leung (26 Nov[removed]REVISED TITLE AND ABSTRACT.docx

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Source URL: lx2.saas.hku.hk

Language: English - Date: 2014-11-20 22:02:37
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