István Pilászy

Scalable Collaborative Filtering Approaches for Large Recommender Systems

Domonkos Tikk, Gábor Takács, István Pilászy, 2009, J. Mach. Learn. Res..

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

Domonkos Tikk, Gábor Takács, István Pilászy, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Fast als-based matrix factorization for explicit and implicit feedback datasets

Domonkos Tikk, István Pilászy, Dávid Zibriczky, 2010, RecSys '10.

Applications of the conjugate gradient method for implicit feedback collaborative filtering

Domonkos Tikk, Gábor Takács, István Pilászy, 2011, RecSys '11.

Matrix factorization and neighbor based algorithms for the netflix prize problem

Domonkos Tikk, Gábor Takács, István Pilászy, 2008, RecSys '08.

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

Domonkos Tikk, Gábor Takács, István Pilászy, 2008, ICDM Workshops.

Recommending new movies: even a few ratings are more valuable than metadata

Domonkos Tikk, István Pilászy, I. Pilászy, 2009, RecSys '09.

Major components of the gravity recommendation system

Domonkos Tikk, Gábor Takács, István Pilászy, 2007, SKDD.

Factorization-based large scale recommendation algorithms

István Pilászy, I. Pilászy, 2010 .

Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms

Domonkos Tikk, István Pilászy, 2009, EC-Web.

Visualization of movie features in collaborative filtering

Domonkos Tikk, Gábor Takács, István Pilászy, 2013, 2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT).

Text Categorization and Support Vector Machines

István Pilászy, I. Pilászy, 2005 .