2024 - Malitesta Daniele, Pomo Claudio, Anelli Vito Walter, Mancino Alberto Carlo Maria, Di Noia Tommaso, Di Sciascio Eugenio

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)

2023 - Merra Felice Antonio, Anelli Vito Walter, Di Noia Tommaso, Malitesta Daniele, Mancino Alberto Carlo Maria

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)

2022 - Anelli Vito Walter, Biancofiore Giovanni Maria, De Bellis Alessandro, Di Noia Tommaso, Di Sciascio Eugenio

Interpretability of BERT Latent Space through Knowledge Graphs
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022)

2023 - Paparella Vincenzo, Di Palma Dario, Anelli Vito Walter, Di Noia Tommaso

Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy
Proceedings of the 17th ACM Conference on Recommender Systems

2023 - Malitesta Daniele, Pomo Claudio, Anelli Vito Walter, Di Noia Tommaso, Ferrara Antonio

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

2023 - Anelli Vito Walter, Malitesta Daniele, Pomo Claudio, Bellogin Alejandro , Di Sciascio Eugenio, Di Noia Tommaso

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
The 17th ACM Conference on Recommender Systems

2023 - Cornacchia Giandomenico, Anelli Vito Walter, Narducci Fedelucio, Ragone Azzurra, Di Sciascio Eugenio

A General Architecture for a Trustworthy Creditworthiness-Assessment Platform in the Financial Domain
Annals of Emerging Technologies in Computing

2023 - Ferrara Antonio, Anelli Vito Walter, Mancino Alberto Carlo Maria, Di Noia Tommaso, Di Sciascio Eugenio

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

2023 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Malitesta Daniele, Paparella Vincenzo, Pomo Claudio

Auditing Consumer-and Producer-Fairness in Graph Collaborative Filtering
Advances in Information Retrieval 45th European Conference on Information Retrieval

2023 - Cornacchia Giandomenico, Anelli Vito Walter, Biancofiore Giovanni Maria, Narducci Fedelucio, Ragone Azzurra, Pomo Claudio, Di Sciascio Eugenio

Auditing fairness under unawareness through counterfactual reasoning
Fairness; Discrimination; Counterfactual reasoning; Proxy features; Information Processing & Management

2022 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Di Sciascio Eugenio, Ferrara Antonio, Malitesta Daniele, Pomo Claudio

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
Workshop Deep Learning for Search and Recommendation

2022 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Di Sciascio Eugenio, Ferrara Antonio, Malitesta Daniele, Pomo Claudio

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems

2022 - Anelli Vito Walter, Bellogin Alejandro , Di Noia Tommaso, Jannach Dietmar, Pomo Claudio

Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 22)

2022 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ferrara Antonio, Mancino Alberto Carlo Maria

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

2022 - Schena Francesco Paolo, Anelli Vito Walter, Cornacchia Giandomenico, Di Noia Tommaso, Stangou Maria, Papagianni Aikaterina, Coppo Rosanna, Coppo Rosanna

FC048: New Tool to Predict the Clinical Course and Renal Failure in Patients with Immunoglobulin a Nephropathy
Nephrology Dialisys Transplantation

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Malitesta Daniele, Merra Felice Antonio

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

2022 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio, Narducci Fedelucio

User-Controlled Federated Matrix Factorization for Recommender Systems
Journal of Intelligent Information Systems

2022 - Anelli Vito Walter, Bellogin Alejandro , Ferrara Antonio, Malitesta Daniele, Merra Felice Antonio, Pomo Claudio, Donini Francesco M., Di Noia Tommaso

V-Elliot: Speeding up Visual Recommendation via a GPU-powered Data Input Pipeline
NVIDIA GTC 2022

2021 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ferrara Antonio, Mancino Alberto Carlo Maria

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

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio, Narducci Fedelucio

Federated Recommender Systems with Learning to Rank
SEBD 2021: The 29th Italian Symposium on Advanced Database Systems

2021 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ferrara Antonio, Mancino Alberto Carlo Maria

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

2019 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra, Pomo Claudio

Semantic interpretability of latent factors for recommendation
10th Italian Information Retrieval Workshop, Padova, Italy, 2019

2021 - Anelli Vito Walter, Bellogin Alejandro , Di Noia Tommaso, Donini Francesco M., Paparella Vincenzo, Pomo Claudio

Adherence and Constancy in LIME-RS Explanations for Recommendation
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM RecSys 2021, Amsterdam, 2021

2021 - Anelli Vito Walter, Belli Luca, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio, Narducci Fedelucio, Pomo Claudio

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

2021 - Anelli Vito Walter, Bellogin Alejandro , Ferrara Antonio, Malitesta Daniele, Merra Felice Antonio, Pomo Claudio, Donini Francesco M., Di Noia Tommaso

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

2021 - Anelli Vito Walter, Bellogin Alejandro , Ferrara Antonio, Malitesta Daniele, Merra Felice Antonio, Pomo Claudio, Donini Francesco M., Di Sciascio Eugenio, Di Noia Tommaso

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

2021 - Anelli Vito Walter, Bellogin Alejandro , Di Noia Tommaso, Pomo Claudio

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization
RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

2021 - Anelli Vito Walter, Bellogin Alejandro , Ferrara Antonio, Malitesta Daniele, Merra Felice Antonio, Pomo Claudio, Donini Francesco M., Di Noia Tommaso

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Merra Felice Antonio

Adversarial Recommender Systems: Attack, Defense, and Advances

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Merra Felice Antonio

Adversarial Learning for Recommendation
Adversarial Machine Learning, Recommender SystemsAdvances in Information Retrieval -43rd European Conference on {IR} Research, {ECIR} 2021

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio, Narducci Fedelucio

FedeRank: User Controlled Feedback with Federated Recommender Systems
Advances in Information Retrieval - ECIR 2021, 43rd European Conference on IR Research

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio, Narducci Fedelucio

How to Put Users in Control of their Data in Federated Top-N Recommendation with Learning to Rank
Proceedings of the 36th ACM SIGAPP Symposium On Applied Computing, SAC 2021, Gwangju, Korea (Virtual Event)

2020 - Anelli Vito Walter, Di Noia Tommaso, Malitesta Daniele, Merra Felice Antonio

Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders
Adversarial Machine Learning, Recommender Systems, Deep LearningThe 1st Workshop on Dataset Curation and Security co-located with the 34th Conference on Neural InformationProcessing Systems (NeurIPS 2020), Vancouver, Canada (Virtual Event).

2020 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Merra Felice Antonio

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code
The 14th ACM Conference on Recommender Systems, September 21--26, 2020, Virtual Event, Brazil

2021 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio

Prioritized Multi-Criteria Federated Learning
Intelligenza Artificiale

2020 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra, Trotta Joseph

Semantic Interpretation of Top-N Recommendations
IEEE Transactions on Knowledge and Data Engineering

2020 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Malitesta Daniele

Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario
Proceedings of the IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2020)

2020 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Merra Felice Antonio, Acciani Giuseppe, Di Sciascio Eugenio

Knowledge-enhanced Shilling Attacks for recommendation
Shilling Attack, Recommender SystemThe 28th Italian Symposium on Advanced Database Systems (SEBD 2020), Villasimius (CA), Italy, June 21-24, 2020

2020 - Anelli Vito Walter, Bellini Vito, Di Noia Tommaso, Di Sciascio Eugenio

Knowledge-aware Interpretable Recommender Systems - Knowledge Graphs for eXplainable AI

2020 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Di Sciascio Eugenio, Merra Felice Antonio

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems exploiting Knowledge Graphs
17th European Semantic Web Conference ESWC 2020

2019 - Anelli Vito Walter, Deldjoo Yashar, Di Noia Tommaso, Ferrara Antonio

Towards Effective Device-Aware Federated Learning
federated learning; aggregation; data distributionIn Proceedings of the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019)

2019 - Deldjoo Yashar, Anelli Vito Walter, Zamani Hamed , Bellogin Alejandro , Di Noia Tommaso

Recommender Systems Fairness Evaluation via Generalized Cross Entropy
Recommender systems; fairness; metric; Generalized cross entropy;evaluationIn Proceedings of the 13th ACM RecSys Workshop on Recommendation in Multistakeholder Environments (RMSE@RecSys'19)

2019 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra, Trotta Joseph

How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
18th International Semantic Web Conference (ISWC 2019)

2019 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Pomo Claudio, Ragone Azzurra

On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
13th ACM Conference on Recommender Systems

2019 - Fernández-Tobías Ignacio, Cantador Ivan, Tomeo Paolo, Anelli Vito Walter, Di Noia Tommaso

Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
User Modeling and User-Adapted Interaction (UMUAI)

2019 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra, Trotta Joseph

Local Popularity and Time in top-N Recommendation
41st European Conference on Information Retrieval (ECIR 2019)

2018 - Anelli Vito Walter, Trotta Joseph, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra

The importance of being dissimilar in Recommendation
ArXiv e-prints

2018 - Anelli Vito Walter, De Leone Renato, Di Noia Tommaso, Lukasiewicz Thomas, Rosati Jessica

Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting
Semantic Web Journal

2018 - Anelli Vito Walter, Trotta Joseph, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra

The importance of being dissimilar in Recommendation
ArXiv e-prints

2018 - Anelli Vito Walter, Trotta Joseph, Di Noia Tommaso, Di Sciascio Eugenio, Ragone Azzurra

Time and Local Popularity in top-N Recommendation
ArXiv e-prints

2018 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Lops Pasquale, Trotta Joseph

Moving from Item Rating to Features Relevance in Top-N Recommendation
Proceedings of the 9th Italian Information Retrieval Workshop - IIR

2017 - Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio, Lops Pasquale

Feature factorization for top- n recommendation: From item rating to features relevance
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning

2017 - Anelli Vito Walter, Bellini Vito, Di Noia Tommaso, La Bruna Wanda, Tomeo Paolo, Di Sciascio Eugenio

On the role of time and sessions in diversifying recommendation results
Proceedings of the 8th Italian Information Retrieval Workshop

2017 - Pantaleo Ester, Anelli Vito Walter, Di Noia Tommaso, Serasset Gilles

Etytree: A graphical and interactive etymology dictionary based on wiktionary
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

2017 - Anelli Vito Walter, Bellini Vito, Calì Andrea, De Santis Giuseppe, Di Noia Tommaso, Di Sciascio Eugenio

Querying deep web data sources as linked data
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, {WIMS} 2017, Amantea, Italy, June 19-22, 2017

2017 - Bellini Vito, Anelli Vito Walter, Di Noia Tommaso, Di Sciascio Eugenio

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios
Autoencoders, DBpedia, Deep Learning, Knowledge graphs, Linked Open Data, Recommender SystemsProceedings of the 2Nd Workshop on Deep Learning for Recommender Systems

2017 - Anelli Vito Walter, Bellini Vito, Di Noia Tommaso, La Bruna Wanda, Tomeo Paolo, Di Sciascio Eugenio

An analysis on Time- and Session-aware diversification in recommender systems
to appearUMAP - 25th Conference on User Modeling, Adaptation and Personalization

2016 - Ragone Azzurra, Di Noia Tommaso, Anelli Vito Walter, Maurino Andrea, Palmonari Matteo, Calì Andea

Linking geographical data: the case of Open Street Map
24th Italian Symposium on Advanced Database Systems (SEBD 2016)

2016 - Ragone Azzurra, Di Noia Tommaso, Anelli Vito Walter, Calì Andrea, Palmonari Matteo

Exposing Open Street Map in the Linked Data cloud
Proceedings of the 29th International Conference on Industrial, Engineering & other Applications of Applied Intelligent Systems

2015 - Anelli Vito Walter, Di Noia Tommaso, Galeone Pasquale, Nocera Francesco, Rosati Jessica, Tomeo Paolo, Di Sciascio Eugenio

LOSM: a SPARQL endpoint to query Open Street Map
The 14th International Semantic Web Conference - ISWC 2015 (Posters and Demo)