Giuseppe Manco
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Riccardo Ortale
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A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships
Hierarchical clustering of XML documents focused on structural components
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments
Modeling item selection and relevance for accurate recommendations
An incremental clustering scheme for data de-duplication
Boosting text segmentation via progressive classification
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