István Pilászy

According to our database1, István Pilászy authored at least 10 papers between 2007 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

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Bibliography

2013
Visualization of movie features in collaborative filtering.
Proceedings of the IEEE 12th International Conference on Intelligent Software Methodologies, 2013

2011
Applications of the conjugate gradient method for implicit feedback collaborative filtering.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

2010
Faktorizáció alapú nagy léptékű ajánló algoritmusok
PhD thesis, 2010

Fast als-based matrix factorization for explicit and implicit feedback datasets.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

2009
Scalable Collaborative Filtering Approaches for Large Recommender Systems.
J. Mach. Learn. Res., 2009

Recommending new movies: even a few ratings are more valuable than metadata.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009

2008
Matrix factorization and neighbor based algorithms for the netflix prize problem.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Investigation of Various Matrix Factorization Methods for Large Recommender Systems.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Major components of the gravity recommendation system.
SIGKDD Explor., 2007


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