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Domonkos Tikk

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

23

Venues

6

Active years

1998–2018

Best venue rank

A*

Where they publish

Papers

23 indexed papers, newest first.

YearVenueTitleAuthors
2018RecSysDLRS 2018: third workshop on deep learning for recommender systems.Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2017RecSysDLRS 2017: Second Workshop on Deep Learning for Recommender Systems.Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2016RecSysParallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations.Balzs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk
2016RecSysRecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS).Alexandros Karatzoglou, Balzs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016RecSysAlgorithms Aside: Recommendation As The Lens Of Life.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 Gker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi
2016RecSysThe Contextual Turn: from Context-Aware to Context-Driven Recommender Systems.Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balzs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana
2015RecSysOverview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems.Martha A. Larson, Domonkos Tikk, Roberto Turrin
2014RecSysRecommender systems challenge 2014.Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk
2013ICMLAEPG Content Recommendation in Large Scale: A Case Study on Interactive TV Platform.Dvid Zibriczky, Zoltn Petres, Marton Waszlavik, Domonkos Tikk
2013RecSysWorkshop on reproducibility and replication in recommender systems evaluation: RepSys.Alejandro Bellogn, Pablo Castells, Alan Said, Domonkos Tikk
2013SoMeTVisualization of movie features in collaborative filtering.Bottyn Nmeth, Gbor Takcs, Istvn Pilszy, Domonkos Tikk
2012RecSysRecommender systems challenge 2012.Nikos Manouselis, Alan Said, Domonkos Tikk, Jannis Hermanns, Benjamin Kille, Hendrik Drachsler, Katrien Verbert, Kris Jack
2012RecSysThe challenge of recommender systems challenges.Alan Said, Domonkos Tikk, Andreas Hotho
2012RecSysRecommender Systems Evaluation: A 3D Benchmark.Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha A. Larson, Paolo Cremonesi
2012RecSysAlternating least squares for personalized ranking.Gbor Takcs, Domonkos Tikk
2011RecSysApplications of the conjugate gradient method for implicit feedback collaborative filtering.Gbor Takcs, Istvn Pilszy, Domonkos Tikk
2010CoNLLA Simple Ensemble Method for Hedge Identification.Ferenc Szidarovszky, Ills Solt, Domonkos Tikk
2010RecSysFast als-based matrix factorization for explicit and implicit feedback datasets.Istvn Pilszy, Dvid Zibriczky, Domonkos Tikk
2009RecSysRecommending new movies: even a few ratings are more valuable than metadata.Istvn Pilszy, Domonkos Tikk
2008ICDMInvestigation of Various Matrix Factorization Methods for Large Recommender Systems.Gbor Takcs, Istvn Pilszy, Bottyn Nmeth, Domonkos Tikk
2008RecSysMatrix factorization and neighbor based algorithms for the netflix prize problem.Gbor Takcs, Istvn Pilszy, Bottyn Nmeth, Domonkos Tikk
2002SMCPolytopic and TS models are nowhere dense in the approximation model space.Domonkos Tikk, Pter Baranyi, Ron J. Patton
1998SMCA general extension of fuzzy SVD rule base reduction using arbitrary inference algorithm.Pter Baranyi, Attila Martinovics, Szilveszter Kovcs, Domonkos Tikk, Yeung Yam