Antonio Ferrara

Orcid: 0000-0002-0784-1115

According to our database1, Antonio Ferrara authored at least 40 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bias-aware ranking from pairwise comparisons.
Data Min. Knowl. Discov., July, 2024

Policy advice and best practices on bias and fairness in AI.
Ethics Inf. Technol., June, 2024

DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis.
CoRR, 2024

Fair Pairs: Fairness-Aware Ranking Recovery from Pairwise Comparisons.
CoRR, 2024

DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation.
Proceedings of the Recommender Systems Challenge 2024, 2024

Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering.
Proceedings of the Advances on Graph-Based Approaches in Information Retrieval, 2024

FairMC Fair-Markov Chain Rank Aggregation Methods.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

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

Report on the 13th Italian Information Retrieval Workshop (IIR 2023).
SIGIR Forum, December, 2023

Demographic Parity Inspector: Fairness Audits via the Explanation Space.
CoRR, 2023

An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

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

Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).
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

Hypothesis for Describing a Case of Gestalt Psychotherapy Using the Network and Process Model Approach with Reference to RDoC.
Proceedings of the 14th IEEE International Conference on Cognitive Infocommunications, 2023

A Multidisciplinary Lens of Bias in Hate Speech.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
User-controlled federated matrix factorization for recommender systems.
J. Intell. Inf. Syst., 2022

Uses of the Journal Impact Factor in national journal rankings in China and Europe.
J. Assoc. Inf. Sci. Technol., 2022

Link recommendations: Their impact on network structure and minorities.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Federated Recommender Systems with Learning to Rank.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

How to put users in control of their data in federated top-N recommendation with learning to rank.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 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

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications.
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

How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

FedeRank: User Controlled Feedback with Federated Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2021

2020
Prioritized multi-criteria federated learning.
Intelligenza Artificiale, 2020

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation.
CoRR, 2020

2019
Changing publication practices: the case of Social Sciences and Humanities.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Towards Effective Device-Aware Federated Learning.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2015
Journal ratings as predictors of articles quality in Arts, Humanities and Social Sciences: an analysis based on the Italian Research Evaluation Exercise.
F1000Research, 2015


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