Address

Plesso Salvatore, 2nd Floor - DEI

Contact Information

Phone: + 39 080 596 3038

Email: alberto.mancino@poliba.it

Alberto Carlo Maria Mancino

Post-Doc

Polytechnic University of Bari

Publications

Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho
19th ACM Conference on Recommender Systems

DOI: 10.1145/3705328.3748009

A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024)

DOI: 10.1145/3640457.3688070

Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

DOI: 10.1145/3539618.3591971

Designing Secure And Knowledge-aware Recommender Systems Leveraging Data Properties And Graph Structures

DOI: 10.1145/3604915.3608804

Are We Done with MMLU?
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025)

DOI: 10.4018/978-1-4666-1740-7.ch086

DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI:

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering
Advances on Graph-Based Approaches in Information Retrieval

DOI: 10.1007/978-3-031-71382-8_4

Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism
47th European Conference on Information Retrieval (ECIR)

DOI: 10.1007/978-3-031-88714-7_3

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
Proceedings of the 17th ACM Conference on Recommender Systems

DOI: 10.1145/3604915.3608804

KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs
ACM Transactions on Recommender Systems

DOI: 10.1145/3588901

Addressing Privacy in Recommender Systems with Federated Learning
In Proceedings of the 12th Italian Information Retrieval Workshop

DOI:

Towards Differentially Private Machine Learning Models and their Robustness To Adversaries

DOI: 10.1007/978-3-031-09917-5_35

Sparse Embeddings for Recommender Systems with Knowledge Graphs
11th Italian Information Retrieval Workshop 2021, Bari, Italy, 2021

DOI:

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

DOI: 10.1145/3460231.3474243