 | 2009 |
|---|
| 5 |       | István Pilászy,
Domonkos Tikk:
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms.
EC-Web 2009: 229-239 |
| 4 | | István Pilászy,
Domonkos Tikk:
Recommending new movies: even a few ratings are more valuable than metadata.
RecSys 2009: 93-100 |
| 2008 |
|---|
| 3 | | Gábor Takács,
István Pilászy,
Bottyán Németh,
Domonkos Tikk:
Investigation of Various Matrix Factorization Methods for Large Recommender Systems.
ICDM Workshops 2008: 553-562 |
| 2 | | Gábor Takács,
István Pilászy,
Bottyán Németh,
Domonkos Tikk:
Matrix factorization and neighbor based algorithms for the netflix prize problem.
RecSys 2008: 267-274 |
| 2007 |
|---|
| 1 | | Gábor Takács,
István Pilászy,
Bottyán Németh,
Domonkos Tikk:
Major components of the gravity recommendation system.
SIGKDD Explorations 9(2): 80-83 (2007) |
