Obserwuj
John Riedl
John Riedl
Professor of Computer Science, University of Minnesota
Zweryfikowany adres z umn.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
132652001
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
87931994
Evaluating collaborative filtering recommender systems
JL Herlocker, JA Konstan, LG Terveen, JT Riedl
ACM Transactions on Information Systems (TOIS) 22 (1), 5-53, 2004
82692004
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
44971999
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
39721997
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
30742000
Recommender systems in e-commerce
JB Schafer, J Konstan, J Riedl
Proceedings of the 1st ACM conference on Electronic commerce, 158-166, 1999
29091999
E-commerce recommendation applications
JB Schafer, JA Konstan, J Riedl
Data mining and knowledge discovery 5, 115-153, 2001
29052001
Explaining collaborative filtering recommendations
JL Herlocker, JA Konstan, J Riedl
Proceedings of the 2000 ACM conference on Computer supported cooperative …, 2000
26952000
Application of dimensionality reduction in recommender system-a case study
B Sarwar, G Karypis, J Konstan, JT Riedl
24602000
Collaborative filtering recommender systems
MD Ekstrand, JT Riedl, JA Konstan
Foundations and Trends® in Human–Computer Interaction 4 (2), 81-173, 2011
17502011
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
15802006
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
13921999
Recommender systems: from algorithms to user experience
JA Konstan, J Riedl
User modeling and user-adapted interaction 22, 101-123, 2012
10922012
An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
J Herlocker, JA Konstan, J Riedl
Information retrieval 5, 287-310, 2002
10202002
Shilling recommender systems for fun and profit
SK Lam, J Riedl
Proceedings of the 13th international conference on World Wide Web, 393-402, 2004
9672004
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
9342002
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
8762012
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
8742002
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
8502003
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20