 | 2011 |
|---|
| 7 |       | Nicola Barbieri:
Regularized Gibbs Sampling for User Profiling with Soft Constraints.
ASONAM 2011: 129-136 |
| 6 | | Nicola Barbieri,
Giuseppe Manco:
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering.
ECML/PKDD (1) 2011: 172-187 |
| 5 |  | Nicola Barbieri,
Gianni Costa,
Giuseppe Manco,
Ettore Ritacco:
Characterizing Relationships through Co-clustering - A Probabilistic Approach.
KDIR 2011: 64-73 |
| 4 | | Nicola Barbieri,
Gianni Costa,
Giuseppe Manco,
Riccardo Ortale:
Modeling item selection and relevance for accurate recommendations: a bayesian approach.
RecSys 2011: 21-28 |
| 3 | | Nicola Barbieri,
Giuseppe Manco,
Ettore Ritacco:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data.
SDM 2011: 630-621 |
| 2010 |
|---|
| 2 | | Nicola Barbieri,
Massimo Guarascio,
Giuseppe Manco:
A Block Mixture Model for Pattern Discovery in Preference Data.
ICDM Workshops 2010: 1100-1107 |
| 1 | | Nicola Barbieri,
Massimo Guarascio,
Ettore Ritacco:
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data.
IIR 2010: 23-27 |
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