Sparse Embeddings for Recommender Systems with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (IIR, 2021)

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (RecSys, 2021)

Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries. - Alberto Carlo Maria Mancino; Tommaso Di Noia (ICWE, 2022)

Addressing Privacy in Recommender Systems with Federated Learning. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (IIR, 2022)

Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (SEBD, 2022)

Knowledge Graph Datasets for Recommendation. - Vincenzo Paparella; Alberto Carlo Maria Mancino; Antonio Ferrara 001; Claudio Pomo; Vito Walter Anelli; Tommaso Di Noia (KaRS@RecSys, 2023)

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models. - Alberto Carlo Maria Mancino; Antonio Ferrara 001; Salvatore Bufi; Daniele Malitesta; Tommaso Di Noia; Eugenio Di Sciascio (RecSys, 2023)

Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. - Felice Antonio Merra; Vito Walter Anelli; Tommaso Di Noia; Daniele Malitesta; Alberto Carlo Maria Mancino (SIGIR, 2023)

A Topology-aware Analysis of Graph Collaborative Filtering. - Daniele Malitesta; Claudio Pomo; Vito Walter Anelli; Alberto Carlo Maria Mancino; Eugenio Di Sciascio; Tommaso Di Noia (CoRR, 2023)

KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. - Antonio Ferrara 001; Vito Walter Anelli; Alberto Carlo Maria Mancino; Tommaso Di Noia; Eugenio Di Sciascio (Trans. Recomm. Syst., 2023)

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering. - Salvatore Bufi; Alberto Carlo Maria Mancino; Antonio Ferrara 001; Daniele Malitesta; Tommaso Di Noia; Eugenio Di Sciascio (IRonGraphs, 2024)

A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. - Daniele Malitesta; Claudio Pomo; Vito Walter Anelli; Alberto Carlo Maria Mancino; Tommaso Di Noia; Eugenio Di Sciascio (RecSys, 2024)

Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction. - Daniele Malitesta; Alberto Carlo Maria Mancino; Pasquale Minervini; Tommaso Di Noia (CoRR, 2024)

DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis. - Alberto Carlo Maria Mancino; Salvatore Bufi; Angela Di Fazio; Daniele Malitesta; Claudio Pomo; Antonio Ferrara 001; Tommaso Di Noia (CoRR, 2024)

Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism. - Antonio Ferrara 001; Angela Di Fazio; Alberto Carlo Maria Mancino; Tommaso Di Noia; Eugenio Di Sciascio (ECIR (3), 2025)

Are We Done with MMLU? - Aryo Pradipta Gema; Joshua Ong Jun Leang; Giwon Hong; Alessio Devoto; Alberto Carlo Maria Mancino; Rohit Saxena; Xuanli He; Yu Zhao 043; Xiaotang Du; Mohammad Reza Ghasemi Madani; Claire Barale; Robert McHardy; et al. (NAACL (Long Papers), 2025)

DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems. - Alberto Carlo Maria Mancino; Salvatore Bufi; Angela Di Fazio; Antonio Ferrara 001; Daniele Malitesta; Claudio Pomo; Tommaso Di Noia (SIGIR, 2025)

Designing secure and knowledge-aware recommender systems leveraging data properties and graph structures. - Alberto Carlo Maria Mancino (2025)

Balancing Accuracy and Novelty with Sub-Item Popularity. - Chiara Mallamaci; Aleksandr Vladimirovich Petrov; Alberto Carlo Maria Mancino; Vito Walter Anelli; Tommaso Di Noia; Craig Macdonald (CoRR, 2025)