Information Systems Lab @ Polytechnic University of Bari

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show anoth...

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Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in...

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Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommender Systems

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Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"

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lodreclib is a Java library to build recommendation engines which exploit the information encoded in Linked (Open) Data datasets.

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Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This can allows practitioners in the field to evaluate and compare their algorithms with...

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Semantics-Aware Autoencoder Neural Network

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