Segui
Domonkos Tikk
Domonkos Tikk
Gravity R&D, a Taboola company
Email verificata su taboola.com
Titolo
Citata da
Citata da
Anno
Session-based Recommendations with Recurrent Neural Networks
B Hidasi
arXiv preprint arXiv:1511.06939, 2015
36652015
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
7172009
Parallel recurrent neural network architectures for feature-rich session-based recommendations
B Hidasi, M Quadrana, A Karatzoglou, D Tikk
Proceedings of the 10th ACM Conference on Recommender Systems, 241-248, 2016
5922016
Major components of the Gravity recommendation system
G Takács, I Pilászy, B Németh, D Tikk
ACM SIGKDD Explorations Newsletter 9 (2), 80-83, 2007
3162007
Alternating least squares for personalized ranking
G Takács, D Tikk
Proceedings of the sixth ACM conference on Recommender systems, 83-90, 2012
2642012
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
2542008
Fast ALS-based matrix factorization for explicit and implicit feedback datasets
I Pilászy, D Zibriczky, D Tikk
Proceedings of the fourth ACM conference on Recommender systems, 71-78, 2010
2382010
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
2382008
A comprehensive benchmark of kernel methods to extract protein–protein interactions from literature
D Tikk, P Thomas, P Palaga, J Hakenberg, U Leser
PLoS computational biology 6 (7), e1000837, 2010
2272010
Comprehensive analysis of a new fuzzy rule interpolation method
D Tikk, P Baranyi
IEEE Transactions on Fuzzy Systems 8 (3), 281-296, 2000
2232000
Recommending new movies: even a few ratings are more valuable than metadata
I Pilászy, D Tikk
Proceedings of the third ACM conference on Recommender systems, 93-100, 2009
2022009
From differential equations to PDC controller design via numerical transformation
P Baranyi, D Tikk, Y Yam, RJ Patton
Computers in Industry 51 (3), 281-297, 2003
2012003
Fast ALS based tensor factorization for context-aware recommendation from implicit feedback
B Hidasi, D Tikk
Proceedings of the 2012 European conference on Machine Learning and …, 2012
1962012
Fuzzy rule interpolation for multidimensional input spaces with applications: A case study
KW Wong, D Tikk, TD Gedeon, LT Kóczy
IEEE transactions on fuzzy systems 13 (6), 809-819, 2005
1732005
A survey on universal approximation and its limits in soft computing techniques
D Tikk, LT Kóczy, TD Gedeon
International Journal of Approximate Reasoning 33 (2), 185-202, 2003
1582003
Stability of interpolative fuzzy KH controllers
D Tikk, I Joó, L Kóczy, P Várlaki, B Moser, TD Gedeon
Fuzzy Sets and Systems 125 (1), 105-119, 2002
1342002
Fuzzy rendszerek
LT Kóczy, D Tikk
Typotex, 2000
130*2000
General factorization framework for context-aware recommendations
B Hidasi, D Tikk
Data Mining and Knowledge Discovery, 1-30, 2015
1222015
Fuzzy rule interpolation Matlab toolbox-FRI toolbox
ZC Johanyák, D Tikk, S Kovács, KW Wong
2006 IEEE International Conference on Fuzzy Systems, 351-357, 2006
1192006
KDD cup and workshop 2007
J Bennett, C Elkan, B Liu, P Smyth, D Tikk
ACM SIGKDD Explorations Newsletter 9 (2), 51-52, 2007
1172007
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–20