Recommender system

Results: 1335



#Item
721Web 2.0 / Blog hosting services / Social media / Information retrieval / Recommender system / Collaborative filtering / Social networking service / Six degrees of separation / Orkut / World Wide Web / Social information processing / Collaboration

“Make New Friends, but Keep the Old” – Recommending People on Social Networking Sites Jilin Chen*, Werner Geyer**, Casey Dugan**, Michael Muller**, Ido Guy*** *University of Minnesota 200 Union Street SE Minneapoli

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:27
722Information retrieval / User interface techniques / Siri / Personalization / Jeeves / Recommender system / Iris / IOS / Automated personal assistant / Artificial intelligence / Science / Information science

The new frontier: Virtual personal assistants (VPA) Akshay Raghoji, Asst Consultant, Strategy & Marketing Group Introduction Have you ever wondered what it would be like to have someone like Reginald Jeeves from P.G. Wo

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Source URL: www.browneandmohan.com

Language: English - Date: 2014-02-20 00:09:59
723Recommender system / Information retrieval / Microsoft SenseCam / Video search engine / Science / Information science / Technology / Human–computer interaction / Technical communication / Usability

SIGCHI Conference Paper Format

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Source URL: doras.dcu.ie

Language: English - Date: 2008-07-24 10:41:56
724Mind / Language comparison / Philosophy of science / Scientific method / Serendipity / Translation / Browse / Recommender system / Lateral thinking / Science / Synchronicity / Ethology

Discovery Is Never by Chance: Designing for (Un)Serendipity Paul André, m.c. schraefel Electronics and Computer Science University of Southampton, UK {pa2, mc}@ecs.soton.ac.uk

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Source URL: eprints.soton.ac.uk

Language: English - Date: 2009-12-08 14:42:47
725Diff / Science / Collective intelligence / Information retrieval / Collaborative filtering / Cold start / Recommender system / Computing / Information science

Context-Aware Recommender Systems Gediminas Adomavicius, Alexander Tuzhilin Abstract The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce

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Source URL: ids.csom.umn.edu

Language: English - Date: 2010-02-14 22:29:00
726Information science / Reputation management / Sociology / Science / Human–computer interaction / Collaborative filtering / Recommender system / Trust metric / Cold start / Collaboration / Collective intelligence / Social information processing

Trust Metrics in Recommender Systems Paolo Massa and Paolo Avesani 1 Introduction Recommender Systems (RS[removed]have the goal of suggesting to every user the items that might be of interest for her. In particular, RSs ba

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Source URL: www.gnuband.org

Language: English - Date: 2012-09-04 09:15:47
727Vending machine / Test / Evaluation / Recommender system / Food / Knowledge / Education / Psychometrics / Retailing

The Dream Machine Committee Members: _____________________________ _____________________________ [removed]_____________________________ _____________________________ [removed]_____________________________

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Source URL: aahperd.confex.com

Language: English - Date: 2013-04-29 10:15:05
728Medical education in the United States / American Society of Health-System Pharmacists / Residency / Recommender system / Professor / Education / Academia / Knowledge

3.0 Standardized Reference available in PhORCAS This is the information that the recommender will complete online in the PhORCAS reference portal. I have known the candidate for approximately ______ (months). The relativ

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Source URL: www.ashp.org

Language: English
729Evaluation / Recommender system / Educational psychology

Augustana College Education Department Assessment Report Spring 2012 Provided by Dr. Sharon E. Andrews, Assessment Coordinator 1.Annual Data Review: The annual Education Department Data Review was held at its 2011 August

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Source URL: augie.edu

Language: English - Date: 2013-07-18 13:43:57
730Crowdsourcing / Netflix Prize / Science / Collaboration / K-nearest neighbor algorithm / Recommender system / Noise reduction / Collaborative filtering / Rating scale / Information science / Image processing / Collective intelligence

Rate it Again: Increasing Recommendation Accuracy by User re-Rating Xavier Amatriain Josep M. Pujol

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Source URL: xavier.amatriain.net

Language: English - Date: 2014-01-06 00:18:35
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