Joseph A. Konstan
TitleCited byYear
Item-based collaborative filtering recommendation algorithms.
BM Sarwar, G Karypis, JA Konstan, J Riedl
Www 1, 285-295, 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
An algorithmic framework for performing collaborative filtering
JL Herlocker, JA Konstan, A Borchers, J Riedl
22nd Annual International ACM SIGIR Conference on Research and Development …, 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
Analysis of recommendation algorithms for e-commerce
B Sarwar, G Karypis, J Konstan, J Riedl
EC, 158-167, 2000
E-commerce recommendation applications
JB Schafer, JA Konstan, J Riedl
Data mining and knowledge discovery 5 (1-2), 115-153, 2001
Recommender systems in e-commerce
JB Schafer, J Konstan, J Riedl
Proceedings of the 1st ACM conference on Electronic commerce, 158-166, 1999
Application of dimensionality reduction in recommender system-a case study
B Sarwar, G Karypis, J Konstan, J Riedl
Minnesota Univ Minneapolis Dept of Computer Science, 2000
Explaining collaborative filtering recommendations
JL Herlocker, JA Konstan, J Riedl
Proceedings of the 2000 ACM conference on Computer supported cooperative …, 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
The movielens datasets: History and context
FM Harper, JA Konstan
Acm transactions on interactive intelligent systems (tiis) 5 (4), 19, 2016
Combining collaborative filtering with personal agents for better recommendations
N Good, JB Schafer, JA Konstan, A Borchers, B Sarwar, J Herlocker, ...
AAAI/IAAI 439, 1999
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
Collaborative filtering recommender systems
MD Ekstrand, JT Riedl, JA Konstan
Foundations and TrendsŪ in Human–Computer Interaction 4 (2), 81-173, 2011
An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
J Herlocker, JA Konstan, J Riedl
Information retrieval 5 (4), 287-310, 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
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
Using filtering agents to improve prediction quality in the grouplens research collaborative filtering system
BM Sarwar, JA Konstan, A Borchers, J Herlocker, B Miller, J Riedl
in the GroupLens Research Collaborative Filtering System???. Proceedings of …, 1998
PolyLens: a recommender system for groups of users
M O’connor, D Cosley, JA Konstan, J Riedl
ECSCW 2001, 199-218, 2001
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
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