Recommender systems

Results: 381



#Item
351Problem Description Study how to adaptively aggregate recommender systems on a per-user and per-item basis when combining results from complementing prediction methods. Create a flexible algorithm that combines multiple

Problem Description Study how to adaptively aggregate recommender systems on a per-user and per-item basis when combining results from complementing prediction methods. Create a flexible algorithm that combines multiple

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Source URL: bjorkoy.com

Language: English - Date: 2014-01-21 18:26:56
352USER MODELING ON THE WEB An Exploratory Review of Recommendation Systems By Olav Bjørkøy ([removed])

USER MODELING ON THE WEB An Exploratory Review of Recommendation Systems By Olav Bjørkøy ([removed])

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Source URL: bjorkoy.com

Language: English - Date: 2014-01-21 18:26:56
353Application of Dimensionality Reduction in Recommender System -- A Case Study Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John T. Riedl GroupLens Research Group / Army HPC Research Center Department of Computer

Application of Dimensionality Reduction in Recommender System -- A Case Study Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John T. Riedl GroupLens Research Group / Army HPC Research Center Department of Computer

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Source URL: files.grouplens.org

Language: English - Date: 2002-09-26 13:21:25
354recommenderlab: A Framework for Developing and Testing Recommendation Algorithms Michael Hahsler Southern Methodist University  Abstract

recommenderlab: A Framework for Developing and Testing Recommendation Algorithms Michael Hahsler Southern Methodist University Abstract

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Source URL: cran.r-project.org

Language: English - Date: 2014-01-13 10:12:09
355Proceedings of the 47th Hawaii International Conference on System Sciences[removed]A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms Ricardo Buettner FOM Universit

Proceedings of the 47th Hawaii International Conference on System Sciences[removed]A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms Ricardo Buettner FOM Universit

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Source URL: www.prof-buettner.org

Language: English - Date: 2013-11-05 09:21:06
356AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations

AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations

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Source URL: www.vldb.org

Language: English - Date: 2006-07-29 01:28:09
357Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant Pauline M. Berry, Thierry Donneau-Golencer, Khang Duong Melinda Gervasio, Bart Peintner, Neil Yorke-Smith SRI In

Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant Pauline M. Berry, Thierry Donneau-Golencer, Khang Duong Melinda Gervasio, Bart Peintner, Neil Yorke-Smith SRI In

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Source URL: www.ai.sri.com

Language: English - Date: 2010-01-06 13:57:08
358PTIME: Personalized Assistance for Calendaring PAULINE M. BERRY, MELINDA GERVASIO, and BART PEINTNER, SRI International NEIL YORKE-SMITH, SRI International and American University of Beirut In a world of electronic calen

PTIME: Personalized Assistance for Calendaring PAULINE M. BERRY, MELINDA GERVASIO, and BART PEINTNER, SRI International NEIL YORKE-SMITH, SRI International and American University of Beirut In a world of electronic calen

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Source URL: www.ai.sri.com

Language: English - Date: 2011-07-26 14:25:11
359Towards Collaborative Filtering Recommender Systems for Tailored Health Communications Benjamin M. Marlin, PhD1 , Roy J. Adams1 , Rajani Sadasivam, PhD2 and Thomas K. Houston, MD, MPH2 1 School of Computer Science, Unive

Towards Collaborative Filtering Recommender Systems for Tailored Health Communications Benjamin M. Marlin, PhD1 , Roy J. Adams1 , Rajani Sadasivam, PhD2 and Thomas K. Houston, MD, MPH2 1 School of Computer Science, Unive

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Source URL: www.ncbi.nlm.nih.gov

Language: English
360C:/Users/Musi/workspace/MusiRecommender/Reports/IAENG/IMECS2010.dvi

C:/Users/Musi/workspace/MusiRecommender/Reports/IAENG/IMECS2010.dvi

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Source URL: eprints.soton.ac.uk

Language: English - Date: 2010-02-08 14:45:54