 |
| Publications |
| Gravity |
| Go-moku |
| Teaching |
| Gábor Takács |
|
|
assistant professor, PhD, Széchenyi István University, Győr, Hungary
E-mail:
, Phone: +36/96503400/3261, Office: B610About me
I received MSc in informatics (2004), and PhD in machine learning (2010) from the Budapest University of Technology and Economics. My main research interests are machine learning and artificial intelligence. I am interested in almost everything that is useful at creating intelligent machines. Within this broad area I spent more time with collaborative filtering, pattern recognition, medical image processing, and computer go-moku.
As a member of team Gravity I participated in the Netflix Prize competition (2006-2009). In 2007 we were leading for ~4 months (22th January - 10th June with short breaks). I was the captain of The Ensemble that finally finished second behind another coalition BellKor's Pragmatic Chaos (with the same score).
My go-moku program Tyson won the 2nd Hungarian Computer Go-moku Open Tournament ahead of OniX (winner of the 1st Hungarian Computer Go-moku Open Tournament) and Goro (winner of GomoCup 2005).
- G. Takács, I. Pilászy, B. Németh, and D. Tikk, Scalable collaborative filtering approaches for large recommender systems, Journal of Machine Learning Research (Special Topic on Mining and Learning with Graphs and Relations), vol. 10, pp. 623-656, 2009. [pdf] [BibTeX]
- G. Takács, I. Pilászy, B. Németh, and D. Tikk, Investigation of various matrix factorization methods for large recommender systems, Proc. of the 2nd KDD Workshop on Large Scale Recommender Systems and the Netflix Prize Competition, Las Vegas, Nevada, USA, 2008. [pdf] [BibTeX]
- G. Takács, I. Pilászy, B. Németh, and D. Tikk, Major components of the Gravity Recommendation System, ACM SIGKDD Explorations Newsletter, 9(2), pp. 80-83, 2007. [pdf] [BibTeX]
- G. Takács, The Vapnik-Chervonenkis dimension of convex n-gon classifiers, Hungarian Electronic Journal of Sciences, 2007. [pdf] [BibTeX]
- Gravity@Netflix: Movie recommender system. (2006-2009)
- Tyson: Tournament winner go-moku AI. (2003-2007)
- TgMammo: Computer-aided breast cancer detection, based on X-ray images. (2003-2005)
- TgLetter: An experimental postal code recognition system. (2003)
- Recognizer: Handwritten digit recognition with neural networks. (2002)