I. Pilászy

发表

Scalable Collaborative Filtering Approaches for Large Recommender Systems

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

On the Gravity Recommendation System

G. Takács, I. Pilászy, B. Németh, 2007 .

Major components of the gravity recommendation system

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

Text Categorization and Support Vector Machines

István Pilászy, I. Pilászy, 2005 .

AusDM 2009 Analytic Challenge The Challenge

Lester W. Mackey, Y. Koren, G. Takács, 2009 .

Applications of the conjugate gradient method for implicit feedback collaborative filtering

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

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

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

Factorization-based large scale recommendation algorithms

István Pilászy, I. Pilászy, 2010 .

Matrix factorization and neighbor based algorithms for the netflix prize problem

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

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

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

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.

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

G. Takács, I. Pilászy, B. Németh, 2008, 2008 IEEE International Conference on Data Mining Workshops.

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).