Alberto Carlo Maria Mancino

According to our database, Alberto Carlo Maria Mancino authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 2025

Designing secure and knowledge-aware recommender systems leveraging data properties and graph structures.

Alberto Carlo Maria Mancino

PhD thesis, 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, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.

Antonio Ferrara, Angela Di Fazio, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Advances in Information Retrieval, 2025

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, Tommaso Di Noia

CoRR, 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

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering.

Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Advances on Graph-Based Approaches in Information Retrieval, 2024

2023

KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs.

Antonio Ferrara, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio

Trans. Recomm. Syst., December, 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

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models.

Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Knowledge Graph Datasets for Recommendation.

Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Addressing Privacy in Recommender Systems with Federated Learning.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries.

Alberto Carlo Maria Mancino, Tommaso Di Noia

Proceedings of the Web Engineering - 22nd International Conference, 2022

2021

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Sparse Embeddings for Recommender Systems with Knowledge Graphs.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021