Scalable collaborative filtering approaches for large recommender systems G Takács, I Pilászy, B Németh, D Tikk The Journal of Machine Learning Research 10, 623-656, 2009 | 706 | 2009 |
Feature-weighted linear stacking J Sill, G Takács, L Mackey, D Lin arXiv preprint arXiv:0911.0460, 2009 | 313 | 2009 |
Major components of the gravity recommendation system G Takács, I Pilászy, B Németh, D Tikk Acm Sigkdd Explorations Newsletter 9 (2), 80-83, 2007 | 310 | 2007 |
Alternating least squares for personalized ranking G Takács, D Tikk Proceedings of the sixth ACM conference on Recommender systems, 83-90, 2012 | 254 | 2012 |
Matrix factorization and neighbor based algorithms for the netflix prize problem G Takács, I Pilászy, B Németh, D Tikk Proceedings of the 2008 ACM conference on Recommender systems, 267-274, 2008 | 247 | 2008 |
Investigation of various matrix factorization methods for large recommender systems G Takács, I Pilászy, B Németh, D Tikk Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and …, 2008 | 232 | 2008 |
Recommender systems and methods using modified alternating least squares algorithm I Pilászy, D Tikk, G Takács, AN Bottyán, D Zibriczky US Patent 8,676,736, 2014 | 94 | 2014 |
Applications of the conjugate gradient method for implicit feedback collaborative filtering G Takács, I Pilászy, D Tikk Proceedings of the fifth ACM conference on Recommender systems, 297-300, 2011 | 74 | 2011 |
Neurális hálózatok M Altrichter, G Horváth, B Pataki, G Strausz, G Takács, J Valyon Panem, Budapest, 2006 | 28 | 2006 |
A unified approach of factor models and neighbor based methods for large recommender systems G Takács, I Pilászy, B Nemeth, D Tikk 2008 First International Conference on the Applications of Digital …, 2008 | 24 | 2008 |
Predicting flight arrival times with a multistage model G Takacs 2014 IEEE International Conference on Big Data (Big Data), 78-84, 2014 | 16 | 2014 |
Convex polyhedron learning and its applications G Takács PQDT-Global, 2009 | 14 | 2009 |
A dynamic programming approach for 4D flight route optimization C Kiss-Toth, G Takacs 2014 IEEE International Conference on Big Data (Big Data), 24-28, 2014 | 8 | 2014 |
Lower bounds on the vapnik-chervonenkis dimension of convex polytope classifiers G Takács, B Pataki 2007 11th International Conference on Intelligent Engineering Systems, 145-148, 2007 | 6 | 2007 |
The Vapnik-Chervonenkis dimension of convex n-gon classifiers G Takács Submitted to: Hungarian Electronic Journal of Sciences, 2007 | 5 | 2007 |
Deciding the convex separability of pattern sets G Takacs, B Pataki 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced …, 2007 | 3 | 2007 |
Fast detection of mammographic masses with difficult case exclusion G Takacs, B Pataki 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems …, 2005 | 3 | 2005 |
Mass Detection in Mammograms Combining Two Methods N Tóth, G Takács, B Pataki | 2 | 2008 |
Case-level detection of mammographic masses G Takács, B Pataki International Journal of Applied Electromagnetics and Mechanics 25 (1-4 …, 2007 | 1 | 2007 |
Predictor set optimization for collaborative filtering O Horváth, G Takács Proceedings of the 6th IEEE International Conference on Intelligent Data …, 2011 | | 2011 |