Search

Nicola Barbieri

A Factorization Approach for Survival Analysis on Diffusion Networks
Efficient Methods for Influence-Based Network-Oblivious Community Detection
Survival Factorization on Diffusion Networks
Probabilistic Approaches to Recommendations
Who to follow and why: link prediction with explanations
Cascade-based community detection
Influence-Based Network-Oblivious Community Detection
Probabilistic topic models for sequence data
Topic-aware social influence propagation models
Towards Topic-aware Social Influence Propagation Models
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data
Hierarchical Latent Factors for Preference Data
Probabilistic Sequence Modeling for Recommender Systems
Topic-Aware Social Influence Propagation Models
A Block Coclustering Model for Pattern Discovering in Users' Preference Data
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract)
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering
Characterizing Relationships through Co-clustering - A Probabilistic Approach
Modeling item selection and relevance for accurate recommendations: a bayesian approach
A Block Mixture Model for Pattern Discovery in Preference Data