István Pilászy

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Takács, Gábor, Pilászy, István, Németh, Bottyán, Tikk, Domonkos (2008): Matrix factorization and neighbor based algorithms for the Netflix prize problem. In: Proceedings of the 2008 ACM Conference on Recommender Systems , 2008, . pp. 267-274.

Pilászy, István, Tikk, Domonkos (2009): Recommending new movies: even a few ratings are more valuable than metadata. In: Proceedings of the 2009 ACM Conference on Recommender Systems , 2009, . pp. 93-100.

Pilászy, István, Zibriczky, Dávid, Tikk, Domonkos (2010): Fast ALS-based matrix factorization for explicit and implicit feedback datasets. In: Proceedings of the 2010 ACM Conference on Recommender Systems , 2010, . pp. 71-78.

Takács, Gábor, Pilászy, István, Tikk, Domonkos (2011): Applications of the conjugate gradient method for implicit feedback collaborative filterin. In: Proceedings of the 2011 ACM Conference on Recommender Systems , 2011, . pp. 297-300.