Alberto Carlo Maria Mancino

Orcid: 0000-0001-8027-9475

According to our database1, Alberto Carlo Maria Mancino authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering.
CoRR, 2024

2023
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs.
Trans. Recomm. Syst., December, 2023

A Topology-aware Analysis of Graph Collaborative Filtering.
CoRR, 2023

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, 2023

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Knowledge Graph Datasets for Recommendation.
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.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Addressing Privacy in Recommender Systems with Federated Learning.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries.
Proceedings of the Web Engineering - 22nd International Conference, 2022

2021
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs.
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.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021


  Loading...