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ORCIDDomonkos Tikk
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- affiliation: Gravity R&D, Budapest, Hungary
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2010 – 2019
- 2019
[e7]Toine Bogers, Alan Said, Peter Brusilovsky, Domonkos Tikk:
Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019. ACM 2019, ISBN 978-1-4503-6243-6 [contents]- 2018
- [c45]Balázs Hidasi
, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
DLRS 2018: third workshop on deep learning for recommender systems. RecSys 2018: 512-513 - [e6]Shlomo Berkovsky, Iván Cantador, Domonkos Tikk:
Collaborative Recommendations - Algorithms, Practical Challenges and Applications. WorldScientific 2018, ISBN 978-981-3275-34-8 [contents] - [e5]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018. ACM 2018, ISBN 978-1-4503-6617-5 [contents] - 2017
- [c44]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk:
DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys 2017: 370-371 - [e4]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk:
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017. ACM 2017, ISBN 978-1-4503-5353-3 [contents] - [e3]Domonkos Tikk, Pearl Pu:
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 28, 2017. CEUR Workshop Proceedings 1905, CEUR-WS.org 2017 [contents] - 2016
- [j33]Balázs Hidasi, Domonkos Tikk:
General factorization framework for context-aware recommendations. Data Min. Knowl. Discov. 30(2): 342-371 (2016) - [j32]Balázs Hidasi, Domonkos Tikk:
Speeding up ALS learning via approximate methods for context-aware recommendations. Knowl. Inf. Syst. 47(1): 131-155 (2016) - [j31]Paolo Cremonesi, Alan Said, Domonkos Tikk, Michelle X. Zhou:
Introduction to the Special Issue on Recommender System Benchmarking. ACM Trans. Intell. Syst. Technol. 7(3): 38:1-38:4 (2016) - [c43]Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219 - [c42]Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk:
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. RecSys 2016: 241-248 - [c41]Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana:
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys 2016: 249-252 - [c40]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys 2016: 415-416 - [c39]Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk:
Session-based Recommendations with Recurrent Neural Networks. ICLR (Poster) 2016 - [e2]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4795-2 [contents] - 2015
- [j30]Philippe Thomas, Pawel Durek, Illés Solt, Bertram Klinger, Franziska Witzel, Pascal Schulthess, Yvonne Mayer, Domonkos Tikk, Nils Blüthgen, Ulf Leser:
Computer-assisted curation of a human regulatory core network from the biological literature. Bioinform. 31(8): 1258-1266 (2015) - [c38]Martha A. Larson, Domonkos Tikk, Roberto Turrin:
Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems. RecSys 2015: 341-342 - 2014
- [j29]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Report on the workshop on reproducibility and replication in recommender systems evaluation (RepSys). SIGIR Forum 48(1): 29-35 (2014) - [c37]Balázs Hidasi, Domonkos Tikk:
Approximate modeling of continuous context in factorization algorithms. CaRR@ECIR 2014: 3-9 - [c36]Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk:
Recommender systems challenge 2014. RecSys 2014: 387-388 - [c35]Alan Said, Martha A. Larson, Domonkos Tikk, Paolo Cremonesi, Alexandros Karatzoglou, Frank Hopfgartner, Roberto Turrin, Joost Geurts:
User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. UMAP Workshops 2014 - [p2]Alan Said, Domonkos Tikk, Paolo Cremonesi:
Benchmarking - A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering. Recommendation Systems in Software Engineering 2014: 275-300 - [i3]Balázs Hidasi, Domonkos Tikk:
General factorization framework for context-aware recommendations. CoRR abs/1401.4529 (2014) - 2013
- [j28]Domonkos Tikk, Illés Solt, Philippe Thomas, Ulf Leser:
A detailed error analysis of 13 kernel methods for protein-protein interaction extraction. BMC Bioinform. 14: 12 (2013) - [j27]Balázs Hidasi, Domonkos Tikk:
Initializing Matrix Factorization Methods on Implicit Feedback Databases. J. Univers. Comput. Sci. 19(12): 1834-1853 (2013) - [c34]Balázs Hidasi, Domonkos Tikk:
Context-aware item-to-item recommendation within the factorization framework. CaRR@WSDM 2013: 19-25 - [c33]Dávid Zibriczky, Zoltán Petres, Marton Waszlavik, Domonkos Tikk:
EPG Content Recommendation in Large Scale: A Case Study on Interactive TV Platform. ICMLA (2) 2013: 315-320 - [c32]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Workshop on reproducibility and replication in recommender systems evaluation: RepSys. RecSys 2013: 485-486 - [c31]Bottyán Németh, Gábor Takács, István Pilászy, Domonkos Tikk:
Visualization of movie features in collaborative filtering. SoMeT 2013: 229-233 - [e1]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys 2013, Hong Kong, China, October 12, 2013. ACM 2013, ISBN 978-1-4503-2465-6 [contents] - [i2]Balázs Hidasi, Domonkos Tikk:
Context-aware recommendations from implicit data via scalable tensor factorization. CoRR abs/1309.7611 (2013) - 2012
- [c30]Balázs Hidasi, Domonkos Tikk:
Enhancing matrix factorization through initialization for implicit feedback databases. CaRR 2012: 2-9 - [c29]Balázs Hidasi, Domonkos Tikk:
Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback. ECML/PKDD (2) 2012: 67-82 - [c28]Alan Said, Domonkos Tikk, Andreas Hotho:
The challenge of recommender systems challenges. RecSys 2012: 9-10 - [c27]Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha A. Larson, Paolo Cremonesi:
Recommender Systems Evaluation: A 3D Benchmark. RUE@RecSys 2012: 21-23 - [c26]Gábor Takács, Domonkos Tikk:
Alternating least squares for personalized ranking. RecSys 2012: 83-90 - [c25]Nikos Manouselis, Alan Said, Domonkos Tikk, Jannis Hermanns, Benjamin Kille, Hendrik Drachsler, Katrien Verbert, Kris Jack:
Recommender systems challenge 2012. RecSys 2012: 353-354 - [c24]Dávid Zibriczky, Balázs Hidasi, Zoltán Petres, Domonkos Tikk:
Personalized recommendation of linear content on interactive TV platforms: beating the cold start and noisy implicit user feedback. UMAP Workshops 2012 - [i1]Balázs Hidasi, Domonkos Tikk:
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback. CoRR abs/1204.1259 (2012) - 2011
- [j26]Jörg Hakenberg, Illés Solt, Domonkos Tikk, Nguyen Ha Vo, Luis Tari, Quang Long Nguyen, Chitta Baral, Ulf Leser:
Molecular Event Extraction from Link Grammar Parse Trees in the BioNLP'09 Shared Task. Comput. Intell. 27(4): 665-680 (2011) - [j25]Domonkos Tikk, Zsolt Csaba Johanyák, Szilveszter Kovács, Kok Wai Wong:
Fuzzy Rule Interpolation and Extrapolation Techniques: Criteria and Evaluation Guidelines. J. Adv. Comput. Intell. Intell. Informatics 15(3): 254-263 (2011) - [c23]Philippe Thomas, Stefan Pietschmann, Illés Solt, Domonkos Tikk, Ulf Leser:
Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text. BioNLP@ACL 2011: 1-9 - [c22]Gábor Takács, István Pilászy, Domonkos Tikk:
Applications of the conjugate gradient method for implicit feedback collaborative filtering. RecSys 2011: 297-300 - 2010
- [j24]Quang Long Nguyen, Domonkos Tikk, Ulf Leser:
Simple tricks for improving pattern-based information extraction from the biomedical literature. J. Biomed. Semant. 1: 9 (2010) - [j23]Illés Solt, Domonkos Tikk, Ulf Leser:
Species identification for gene name normalization. BMC Bioinform. 11(S-5): P5 (2010) - [j22]Domonkos Tikk, Peter Palaga, Ulf Leser:
A fast and effective dependency graph kernel for PPI relation extraction. BMC Bioinform. 11(S-5): P8 (2010) - [j21]Domonkos Tikk, Illés Solt:
Improving textual medication extraction using combined conditional random fields and rule-based systems. J. Am. Medical Informatics Assoc. 17(5): 540-544 (2010) - [j20]Domonkos Tikk, Philippe Thomas, Peter Palaga, Jörg Hakenberg, Ulf Leser:
A Comprehensive Benchmark of Kernel Methods to Extract Protein-Protein Interactions from Literature. PLoS Comput. Biol. 6(7) (2010) - [c21]Ferenc Szidarovszky, Illés Solt, Domonkos Tikk:
A Simple Ensemble Method for Hedge Identification. CoNLL Shared Task 2010: 144-147 - [c20]Kok Wai Wong, Todsanai Chumwatana, Domonkos Tikk:
Exploring the use of fuzzy signature for text mining. FUZZ-IEEE 2010: 1-5 - [c19]István Pilászy, Dávid Zibriczky, Domonkos Tikk:
Fast als-based matrix factorization for explicit and implicit feedback datasets. RecSys 2010: 71-78
2000 – 2009
- 2009
- [j19]Ádám B. Csapó, Barna Reskó, Domonkos Tikk, Péter Baranyi:
Object Categorization Using Biologically Inspired Nodemaps and the HITEC Categorization System. J. Adv. Comput. Intell. Intell. Informatics 13(5): 573-580 (2009) - [j18]Illés Solt, Domonkos Tikk, Viktor Gál, Zsolt Tivadar Kardkovács:
Research Paper: Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier. J. Am. Medical Informatics Assoc. 16(4): 580-584 (2009) - [j17]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Scalable Collaborative Filtering Approaches for Large Recommender Systems. J. Mach. Learn. Res. 10: 623-656 (2009) - [c18]Jörg Hakenberg, Illés Solt, Domonkos Tikk, Luis Tari, Astrid Rheinländer, Quang Long Nguyen, Graciela Gonzalez, Ulf Leser:
Molecular event extraction from Link Grammar parse trees. BioNLP@HLT-NAACL (Shared Task) 2009: 86-94 - [c17]István Pilászy, Domonkos Tikk:
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms. EC-Web 2009: 229-239 - [c16]István Pilászy, Domonkos Tikk:
Recommending new movies: even a few ratings are more valuable than metadata. RecSys 2009: 93-100 - [p1]László Kovács, Domonkos Tikk:
Full-Text Search Engines for Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 931-939 - [r1]László Kovács, Domonkos Tikk:
Full-Text Search Engines for Databases. Encyclopedia of Artificial Intelligence 2009: 654-660 - 2008
- [c15]Zsolt Tivadar Kardkovács, Domonkos Tikk:
Determining Relevant Deep Web Sites by Query Context Identification. BIS (Workshops) 2008: 119-130 - [c14]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Investigation of Various Matrix Factorization Methods for Large Recommender Systems. ICDM Workshops 2008: 553-562 - [c13]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Matrix factorization and neighbor based algorithms for the netflix prize problem. RecSys 2008: 267-274 - 2007
- [j16]Domonkos Tikk, György Biró, Ferenc Szidarovszky, Zsolt Tivadar Kardkovács, Gábor Lemák:
Topic and language specific internet search engine. Acta Cybern. 18(2): 279-291 (2007) - [j15]Zsolt Tivadar Kardkovács, Domonkos Tikk:
On the transformation of sentences with genitive relations to SQL queries. Data Knowl. Eng. 61(3): 406-416 (2007) - [j14]James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk:
KDD Cup and workshop 2007. SIGKDD Explor. 9(2): 51-52 (2007) - [j13]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Major components of the gravity recommendation system. SIGKDD Explor. 9(2): 80-83 (2007) - 2006
- [j12]Domonkos Tikk, Zsolt Tivadar Kardkovács, Ferenc Szidarovszky:
Voting with a parameterized veto strategy: solving the KDD Cup 2006 problem by means of a classifier committee. SIGKDD Explor. 8(2): 53-62 (2006) - [c12]Zsolt Csaba Johanyák, Domonkos Tikk, Szilveszter Kovács, Kok Wai Wong:
Fuzzy Rule Interpolation Matlab Toolbox - FRI Toolbox. FUZZ-IEEE 2006: 351-357 - 2005
- [j11]Zsolt Tivadar Kardkovács, Domonkos Tikk, Zoltán Bánsághi:
The Ferrety algorithm for the KDD Cup 2005 problem. SIGKDD Explor. 7(2): 111-116 (2005) - [j10]Kok Wai Wong, Domonkos Tikk, Tamás D. Gedeon, László T. Kóczy:
Fuzzy rule interpolation for multidimensional input spaces with applications: a case study. IEEE Trans. Fuzzy Syst. 13(6): 809-819 (2005) - [c11]Domonkos Tikk, Ferenc Szidarovszky, Zsolt Tivadar Kardkovács, Gábor Magyar:
Entity Recognizer in Hungarian Question Processing. AI*IA 2005: 535-546 - 2004
- [j9]Domonkos Tikk, György Biró:
A hierarchical test categorization approach and its application to FRT expansion. Aust. J. Intell. Inf. Process. Syst. 8(3): 123-131 (2004) - [j8]Domonkos Tikk, Péter Baranyi, Ron J. Patton, József K. Tar:
Approximation capability of TP model forms. Aust. J. Intell. Inf. Process. Syst. 8(3): 155-163 (2004) - [c10]Domonkos Tikk, Péter Baranyi, Ron J. Patton:
On the approximation properties of TP model forms. FUZZ-IEEE 2004: 1069-1074 - [c9]Domonkos Tikk, György Biró, Jae Dong Yang:
Experiments with a hierarchical text categorizer. FUZZ-IEEE 2004: 1191-1196 - 2003
- [j7]Péter Baranyi, Domonkos Tikk, Yeung Yam, Ron J. Patton:
From differential equations to PDC controller design via numerical transformation. Comput. Ind. 51(3): 281-297 (2003) - [j6]Domonkos Tikk:
Notes on the approximation rate of fuzzy KH interpolators. Fuzzy Sets Syst. 138(2): 441-453 (2003) - [j5]Domonkos Tikk, László T. Kóczy, Tamás D. Gedeon:
A survey on universal approximation and its limits in soft computing techniques. Int. J. Approx. Reason. 33(2): 185-202 (2003) - [j4]Domonkos Tikk, Jae Dong Yang, Sun Lee Bang:
Hierarchical text categorization using fuzzy relational thesaurus. Kybernetika 39(5): 583-600 (2003) - 2002
- [j3]Domonkos Tikk, István Joó, László T. Kóczy, Péter Várlaki, Bernhard Moser, Tamás D. Gedeon:
Stability of interpolative fuzzy KH controllers. Fuzzy Sets Syst. 125(1): 105-119 (2002) - [j2]Domonkos Tikk, György Biró, Tamás D. Gedeon, László T. Kóczy, Jae Dong Yang:
Improvements and critique on Sugeno's and Yasukawa's qualitative modeling. IEEE Trans. Fuzzy Syst. 10(5): 596-606 (2002) - [c8]Kok Wai Wong, Domonkos Tikk, György Biró, Tamás D. Gedeon:
Intelligent Well Log Data Analysis: A Comparison Study. FSKD 2002: 71-75 - [c7]Péter Baranyi, Domonkos Tikk, Annamária R. Várkonyi-Kóczy, Yeung Yam, Imre J. Rudas:
Minimizing TS controller via HOSVD. FUZZ-IEEE 2002: 128-133 - [c6]Domonkos Tikk, Péter Baranyi, Ron J. Patton:
Polytopic and TS models are nowhere dense in the approximation model space. SMC (2) 2002: 4 - 2001
- [c5]Tamás D. Gedeon, Kok Wai Wong, Domonkos Tikk:
Constructing Heirarchical Fuzzy Rule Bases for Classification. FUZZ-IEEE 2001: 1388-1391 - [c4]Kok Wai Wong, László T. Kóczy, Tamás D. Gedeon, Alex Chong, Domonkos Tikk:
Improvement of the Cluster Searching Algorithm in Sugeno and Yasukawa's Qualitative Modeling Approach. Fuzzy Days 2001: 536-549 - 2000
- [b1]Domonkos Tikk:
Fuzzy szabályinterpolációs eljárások és fuzzy szabályozók univerzális közelítő tulajdonságának vizsgálata. Budapest University of Technology and Economics, Hungary, 2000 - [j1]Domonkos Tikk, Péter Baranyi:
Comprehensive analysis of a new fuzzy rule interpolation method. IEEE Trans. Fuzzy Syst. 8(3): 281-296 (2000) - [c3]Péter Baranyi, Domonkos Tikk, Tamás D. Gedeon, László T. Kóczy:
α-cut interpolation technique in the space of regular conclusion. FUZZ-IEEE 2000: 478-482 - [c2]Domonkos Tikk, Péter Baranyi, László T. Kóczy, Tamás D. Gedeon:
On a stable and always applicable interpolation method. FUZZ-IEEE 2000: 1049-1051
1990 – 1999
- 1998
- [c1]Péter Baranyi, Attila Martinovics, Szilveszter Kovács, Domonkos Tikk, Yeung Yam:
A general extension of fuzzy SVD rule base reduction using arbitrary inference algorithm. SMC 1998: 2785-2790
Coauthor Index
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