Joseph A. Konstan

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F. Maxwell HarperSubmittableDirección de correo verificada de amazon.com
Badrul M. SarwarMachine Learning Scientist, LinkedInDirección de correo verificada de linkedin.com
Sean M. McNeeUniversity of MinnesotaDirección de correo verificada de cs.umn.edu
Loren TerveenUniversity of MinnesotaDirección de correo verificada de cs.umn.edu
George KarypisDistinguished McKnight University Professor, University of Minnesota; SPS, AWSDirección de correo verificada de umn.edu
Brian P. Baileyprofessor of computer science, university of illinoisDirección de correo verificada de illinois.edu
Al BorchersGoogleDirección de correo verificada de google.com
Shyong (Tony) LamUniversity of MinnesotaDirección de correo verificada de tc.umn.edu
Istvan AlbertProfessor of Bioinformatics, Pennsylvania State UniversityDirección de correo verificada de psu.edu
Dan CosleyNational Science FoundationDirección de correo verificada de nsf.gov
Nathan GoodGood ResearchDirección de correo verificada de goodresearch.com
Yan ChenUniversity of MichiganDirección de correo verificada de umich.edu
David A. MaltzDistinguished Engineer, MicrosoftDirección de correo verificada de microsoft.com
Laura J. GurakProfessor, University of MinnesotaDirección de correo verificada de umn.edu
Cai-Nicolas ZieglerAlbert-Ludwigs-Universität FreiburgDirección de correo verificada de informatik.uni-freiburg.de
Keith HorvathProfessor, SDSU/UCSD Clinical Psychology Joint Doctoral ProgramDirección de correo verificada de sdsu.edu
Aditya PalPinterestDirección de correo verificada de pinterest.com
Robert E. KrautHerbert A. Simon University Professor Emeritus, Human-Computer Interaction Institute, CarnegieDirección de correo verificada de cmu.edu

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Joseph A. Konstan

University of Minnesota

Dirección de correo verificada de umn.edu - Página principal

Human-Computer Interaction Recommender Systems Social Computing Human-Centered AI


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Item-based collaborative filtering recommendation algorithms B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 10th international conference on World Wide Web, 285-295, 2001	12692	2001
Evaluating collaborative filtering recommender systems JL Herlocker, JA Konstan, LG Terveen, JT Riedl ACM Transactions on Information Systems (TOIS) 22 (1), 5-53, 2004	8032	2004
The movielens datasets: History and context FM Harper, JA Konstan Acm transactions on interactive intelligent systems (tiis) 5 (4), 1-19, 2015	5122	2015
An algorithmic framework for performing collaborative filtering JL Herlocker, JA Konstan, A Borchers, J Riedl Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999	4413	1999
GroupLens: applying collaborative filtering to Usenet news JA Konstan, BN Miller, D Maltz, JL Herlocker, LR Gordon, J Riedl Communications of the ACM 40 (3), 77-87, 1997	3948	1997
Analysis of recommendation algorithms for e-commerce B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 2nd ACM Conference on Electronic Commerce, 158-167, 2000	3058	2000
E-commerce recommendation applications JB Schafer, JA Konstan, J Riedl Data mining and knowledge discovery 5, 115-153, 2001	2857	2001
Recommender systems in e-commerce JB Schafer, J Konstan, J Riedl Proceedings of the 1st ACM conference on Electronic commerce, 158-166, 1999	2818	1999
Explaining collaborative filtering recommendations JL Herlocker, JA Konstan, J Riedl Proceedings of the 2000 ACM conference on Computer supported cooperative …, 2000	2556	2000
Improving recommendation lists through topic diversification CN Ziegler, SM McNee, JA Konstan, G Lausen Proceedings of the 14th international conference on World Wide Web, 22-32, 2005	2482	2005
Application of dimensionality reduction in recommender system-a case study B Sarwar, G Karypis, J Konstan, JT Riedl	2400	2000
Collaborative filtering recommender systems MD Ekstrand, JT Riedl, JA Konstan Foundations and Trends® in Human–Computer Interaction 4 (2), 81-173, 2011	1643	2011
Being accurate is not enough: how accuracy metrics have hurt recommender systems SM McNee, J Riedl, JA Konstan CHI'06 extended abstracts on Human factors in computing systems, 1097-1101, 2006	1500	2006
Combining collaborative filtering with personal agents for better recommendations N Good, JB Schafer, JA Konstan, A Borchers, B Sarwar, J Herlocker, ... Aaai/iaai 439 (10.5555), 315149-315352, 1999	1331	1999
Recommender systems: from algorithms to user experience JA Konstan, J Riedl User modeling and user-adapted interaction 22, 101-123, 2012	1024	2012
An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms J Herlocker, JA Konstan, J Riedl Information retrieval 5, 287-310, 2002	1004	2002
Getting to know you: learning new user preferences in recommender systems AM Rashid, I Albert, D Cosley, SK Lam, SM McNee, JA Konstan, J Riedl Proceedings of the 7th international conference on Intelligent user …, 2002	906	2002
Recommender systems for large-scale e-commerce: Scalable neighborhood formation using clustering BM Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the fifth international conference on computer and …, 2002	849	2002
Movielens unplugged: experiences with an occasionally connected recommender system BN Miller, I Albert, SK Lam, JA Konstan, J Riedl Proceedings of the 8th international conference on Intelligent user …, 2003	834	2003
Is seeing believing? How recommender system interfaces affect users' opinions D Cosley, SK Lam, I Albert, JA Konstan, J Riedl Proceedings of the SIGCHI conference on Human factors in computing systems …, 2003	818	2003

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