Major components of the gravity recommendation system. - Gábor Takács; István Pilászy; Bottyán Németh; Domonkos Tikk (SIGKDD Explor., 2007)

Investigation of Various Matrix Factorization Methods for Large Recommender Systems. - Gábor Takács; István Pilászy; Bottyán Németh; Domonkos Tikk (ICDM Workshops, 2008)

Matrix factorization and neighbor based algorithms for the netflix prize problem. - Gábor Takács; István Pilászy; Bottyán Németh; Domonkos Tikk (RecSys, 2008)

Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms. - István Pilászy; Domonkos Tikk (EC-Web, 2009)

Recommending new movies: even a few ratings are more valuable than metadata. - István Pilászy; Domonkos Tikk (RecSys, 2009)

Scalable Collaborative Filtering Approaches for Large Recommender Systems. - Gábor Takács; István Pilászy; Bottyán Németh; Domonkos Tikk (J. Mach. Learn. Res., 2009)

Fast als-based matrix factorization for explicit and implicit feedback datasets. - István Pilászy; Dávid Zibriczky; Domonkos Tikk (RecSys, 2010)

Faktorizáció alapú nagy léptékű ajánló algoritmusok - István Pilászy (2010)

Applications of the conjugate gradient method for implicit feedback collaborative filtering. - Gábor Takács; István Pilászy; Domonkos Tikk (RecSys, 2011)

Visualization of movie features in collaborative filtering. - Bottyán Németh; Gábor Takács; István Pilászy; Domonkos Tikk (SoMeT, 2013)