Domonkos Tikk
Domonkos Tikk
Gravity R&D
Verified email at gravityrd.com
Title
Cited by
Cited by
Year
Session-based recommendations with recurrent neural networks
B Hidasi, A Karatzoglou, L Baltrunas, D Tikk
arXiv preprint arXiv:1511.06939, 2015
11892015
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
5832009
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
2792016
Major components of the Gravity recommendation system
G Takács, I Pilászy, B Németh, D Tikk
ACM SIGKDD Explorations Newsletter 9 (2), 80-83, 2007
2772007
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
2062010
Comprehensive analysis of a new fuzzy rule interpolation method
D Tikk, P Baranyi
IEEE Transactions on Fuzzy Systems 8 (3), 281-296, 2000
2052000
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
2002010
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
1972008
Investigation of various matrix factorization methods for large recommender systems
G Takács, I Pilászy, B Németh, D Tikk
2008 IEEE International Conference on Data Mining Workshops, 553-562, 2008
1962008
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
1912003
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
1832009
Alternating least squares for personalized ranking
G Takács, D Tikk
Proceedings of the sixth ACM conference on Recommender systems, 83-90, 2012
1632012
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
1562005
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
1502012
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
1372003
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
1202002
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
1082006
Fuzzy rendszerek
LT Kóczy, D Tikk
Typotex, 2000
102*2000
KDD cup and workshop 2007
J Bennett, C Elkan, B Liu, P Smyth, D Tikk
ACM SIGKDD Explorations Newsletter 9 (2), 51-52, 2007
842007
General factorization framework for context-aware recommendations
B Hidasi, D Tikk
Data Mining and Knowledge Discovery, 1-30, 2015
822015
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Articles 1–20