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John Riedl
John Riedl
Professor of Computer Science, University of Minnesota
Verified email at umn.edu - Homepage
Title
Cited by
Cited by
Year
Item-based collaborative filtering recommendation algorithms
B Sarwar, G Karypis, J Konstan, J Reidl
Proceedings of the 10th international conference on World Wide Web, 285-295, 2001
130752001
Grouplens: An open architecture for collaborative filtering of netnews
P Resnick, N Iacovou, M Suchak, P Bergstrom, J Riedl
Proceedings of the 1994 ACM conference on Computer supported cooperative …, 1994
87221994
Evaluating collaborative filtering recommender systems
JL Herlocker, JA Konstan, LG Terveen, JT Riedl
ACM Transactions on Information Systems (TOIS) 22 (1), 5-53, 2004
81782004
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
44641999
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
39461997
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
30542000
Recommender systems in e-commerce
JB Schafer, J Konstan, J Riedl
Proceedings of the 1st ACM conference on Electronic commerce, 158-166, 1999
28651999
E-commerce recommendation applications
JB Schafer, JA Konstan, J Riedl
Data mining and knowledge discovery 5, 115-153, 2001
28562001
Explaining collaborative filtering recommendations
JL Herlocker, JA Konstan, J Riedl
Proceedings of the 2000 ACM conference on Computer supported cooperative …, 2000
26552000
Application of dimensionality reduction in recommender system-a case study
B Sarwar, G Karypis, J Konstan, JT Riedl
24462000
Collaborative filtering recommender systems
MD Ekstrand, JT Riedl, JA Konstan
Foundations and TrendsŪ in Human–Computer Interaction 4 (2), 81-173, 2011
17082011
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
15512006
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
13871999
Recommender systems: from algorithms to user experience
JA Konstan, J Riedl
User modeling and user-adapted interaction 22, 101-123, 2012
10792012
An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
J Herlocker, JA Konstan, J Riedl
Information retrieval 5, 287-310, 2002
10082002
Shilling recommender systems for fun and profit
SK Lam, J Riedl
Proceedings of the 13th international conference on World Wide Web, 393-402, 2004
9562004
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
9222002
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
8622002
Building member attachment in online communities: Applying theories of group identity and interpersonal bonds
Y Ren, FM Harper, S Drenner, L Terveen, S Kiesler, J Riedl, RE Kraut
MIS quarterly, 841-864, 2012
8532012
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
8412003
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