Tommaso Di Noia

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 215

Top Venues

Publications

Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, Tommaso Di Noia
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. CoRR (2024)
Angela Lombardi, Sofia Marzo, Eugenio Di Sciascio, Tommaso Di Noia, Carmelo Ardito
Intuitiveness and Trustworthiness of AI-Powered Interfaces for Neurological Diagnosis - Preliminary Results. HCSE (2024)
Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio
KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering. CoRR (2024)
Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci
CAMEO: Fostering Joint Conversational Search and Recommendation. SEBD (2024)
Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation. WWW (Companion Volume) (2024)
Angela Lombardi, Sofia Marzo, Tommaso Di Noia, Eugenio Di Sciascio, Carmelo Ardito
Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis. UMAP (Adjunct Publication) (2024)
Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation. CoRR (2024)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare. CoRR (2024)
Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci
Interactive Question Answering Systems: Literature Review. ACM Comput. Surv. 56 (9) (2024)
Tommaso Colafiglio, Carmelo Ardito, Paolo Sorino, Domenico Lofù, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio
NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms. Cogn. Comput. 16 (5) (2024)
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
A Review of Modern Fashion Recommender Systems. ACM Comput. Surv. 56 (4) (2024)
Paolo Sorino, Giovanni Maria Biancofiore, Domenico Lofù, Tommaso Colafiglio, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. UMAP (Adjunct Publication) (2024)
Tommaso Colafiglio, Tommaso Di Noia, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Paolo Sorino
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). UMAP (Adjunct Publication) (2024)
Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Fabrizio Festa, Tommaso Di Noia
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. UMAP (Adjunct Publication) (2024)
Yashar Deldjoo, Tommaso Di Noia
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System. CoRR (2024)
Alessandro De Bellis, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio
Semantic Interpretation of BERT Embeddings with Knowledge Graphs. SEBD (2023)
Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Eugenio Di Sciascio, Tommaso Di Noia
A Topology-aware Analysis of Graph Collaborative Filtering. CoRR (2023)
Antonio Ferrara, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. Trans. Recomm. Syst. 1 (4) (2023)
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis. MMIR@MM (2023)
Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio, Tommaso Di Noia
Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images. ECSA (2023)
Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio
MAFUS: a Framework to predict mortality risk in MAFLD subjects. CoRR (2023)
Daniele Malitesta, Giuseppe Gassi, Claudio Pomo, Tommaso Di Noia
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation. CoRR (2023)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. ECIR (1) (2023)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Carmelo Ardito, Eugenio Di Sciascio
Smart Electrical Grids Under the Lens of Adversarial Attacks. Ital-IA (2023)
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems. EvalRS@KDD (2023)
Simona Colucci, Tommaso Di Noia, Francesco M. Donini, Claudio Pomo, Eugenio Di Sciascio
Irrelevant Explanations: a Logical Formalization and a Case Study. XAI.it@AI*IA (2023)
Tommaso Colafiglio, Paolo Sorino, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia
Combining Mental States Recognition and Machine Learning for Neurorehabilitation. SMC (2023)
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids. CoRR (2023)
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM (2023)
Tommaso Colafiglio, Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Di Noia
Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning. Ital-IA (2023)
Vito Walter Anelli, Eros Brienza, Marco Recupero, Francesco Greco, Andrea De Maria, Tommaso Di Noia, Eugenio Di Sciascio
Navigating the Legal Landscape: Developing Italy's Official Legal Knowledge Graph for Enhanced Legislative and Public Services. Ital-IA (2023)
Daniele Malitesta, Giuseppe Gassi, Claudio Pomo, Tommaso Di Noia
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation. ACM Multimedia (2023)
Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia
Knowledge Graph Datasets for Recommendation. KaRS@RecSys (2023)
Angela Lombardi, Maria Luigia Natalia De Bonis, Giuseppe Fasano, Alessia Sportelli, Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. CLEF (Working Notes) (2023)
Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia, Antonio Ferrara
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework. UMAP (Adjunct Publication) (2023)
Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys (2023)
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Felice Antonio Merra, Tommaso Di Noia, Eugenio Di Sciascio
Formalizing Multimedia Recommendation through Multimodal Deep Learning. CoRR (2023)
Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. IIR (2023)
Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio
Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback. EUROCON (2023)
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis. CoRR (2023)
Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Tommaso Di Noia, Eugenio Di Sciascio
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. CoRR (2023)
Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. SIGIR (2023)
Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models. RecSys (2023)
Angela Lombardi, Francesca Arezzo, Eugenio Di Sciascio, Carmelo Ardito, Michele Mongelli, Nicola Di Lillo, Fabiana Divina Fascilla, Erica Silvestris, Anila Kardhashi, Carmela Putino, Ambrogio Cazzolla, Vera Loizzi, Gerardo Cazzato, Gennaro Cormio, Tommaso Di Noia
A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis. Artif. Intell. Medicine 146 (2023)
Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Eugenio Di Sciascio, Tommaso Di Noia
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. RecSys (2023)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. ECAI Workshops (1) (2023)
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR (2023)
Tommaso Di Noia, In-Young Ko, Markus Schedl
Introduction to the ICWE 2022 Special Issue. J. Web Eng. 22 (1) (2023)
Daniele Malitesta, Claudio Pomo, Tommaso Di Noia
Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation. CoRR (2023)
Paolo Sorino, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia
A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction. SMC (2023)
Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Tommaso Di Noia
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy. RecSys (2023)
Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio
Evaluating ChatGPT as a Recommender System: A Rigorous Approach. CoRR (2023)
Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) (2023)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. CoRR (2023)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. SEBD (2022)
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. CIKM (2022)
Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
Conversational recommendation: Theoretical model and complexity analysis. Inf. Sci. 614 (2022)
Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
Towards a theoretical formalization of conversational recommendation. CIKM Workshops (2022)
Fabio Castellana, Simona Aresta, Paolo Sorino, Ilaria Bortone, Domenico Lofù, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio, Rodolfo Sardone
An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy. SMC (2022)
Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
Recommender systems under European AI regulations. Commun. ACM 65 (4) (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
An Analysis of Local Explanation with LIME-RS. IIR (2022)
Vito Walter Anelli, Giovanni Maria Biancofiore, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio
Interpretability of BERT Latent Space through Knowledge Graphs. CIKM (2022)
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling. Expert Syst. Appl. 210 (2022)
Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci
Interactive Question Answering Systems: Literature Review. CoRR (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. UMAP (2022)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. MORS@RecSys (2022)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. SEBD (2022)
Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems. Expert Syst. Appl. 205 (2022)
Rossella Tatoli, Luisa Lampignano, Ilaria Bortone, Rossella Donghia, Fabio Castellana, Roberta Zupo, Sarah Tirelli, Sara De Nucci, Annamaria Sila, Annalidia Natuzzi, Madia Lozupone, Chiara Griseta, Sabrina Sciarra, Simona Aresta, Giovanni De Pergola, Paolo Sorino, Domenico Lofù, Francesco Panza, Tommaso Di Noia, Rodolfo Sardone
Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach. Sensors 22 (6) (2022)
Alberto Carlo Maria Mancino, Tommaso Di Noia
Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries. ICWE (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. CoRR (2022)
Domenico Lofù, Pietro Tedeschi, Tommaso Di Noia, Eugenio Di Sciascio
URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles. CoRR (2022)
Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
Leveraging Content-Style Item Representation for Visual Recommendation. ECIR (2) (2022)
Silvana Bruno, Albina Scioti, Alessandra Pierucci, Rocco Rubino, Tommaso Di Noia, Fabio Fatiguso
VERBUM - virtual enhanced reality for building modelling (virtual technical tour in digital twins for building conservation). J. Inf. Technol. Constr. 27 (2022)
Carmelo Ardito, Ilaria Bortone, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Fedelucio Narducci, Rodolfo Sardone, Paolo Sorino
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition. SMC (2022)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta
Semantic Interpretation of Top-N Recommendations. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Domenico Lofù, Pietro Di Gennaro, Paolo Sorino, Tommaso Di Noia, Eugenio Di Sciascio
CPU-side comparison for Key Agreement between Tree Parity Machines and standard Cryptographic Primitives. DESSERT (2022)
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
A Review of Modern Fashion Recommender Systems. CoRR (2022)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. DL4SR@CIKM (2022)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
Addressing Privacy in Recommender Systems with Federated Learning. IIR (2022)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
User-controlled federated matrix factorization for recommender systems. J. Intell. Inf. Syst. 58 (2) (2022)
Domenico Lofù, Andrea Pazienza, Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Felice Vitulano
A Situation Awareness Computational Intelligent Model for Metabolic Syndrome Management. CogSIMA (2022)
Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore
Aspect based sentiment analysis in music: a case study with spotify. SAC (2022)
Yashar Deldjoo, Alejandro Bellogín, Tommaso Di Noia
Explaining recommender systems fairness and accuracy through the lens of data characteristics. Inf. Process. Manag. 58 (5) (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
FedeRank: User Controlled Feedback with Federated Recommender Systems. ECIR (1) (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. SIGIR (2021)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. RecSys (2021)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
Adherence and Constancy in LIME-RS Explanations for Recommendation. CoRR (2021)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation. IIR (2021)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Tommaso Di Noia
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR (2021)
Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Gaetano Pernisco, Vito Renò, Ettore Stella
Towards Improving Car Point-Cloud Tracking Via Detection Updates. IPMV (2021)
Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks. IIR (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. CoRR (2021)
Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore
GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper). KaRS/ComplexRec@RecSys (2021)
Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore
GUapp: Enhancing Job Recommendations with Knowledge Graphs. IIR (2021)
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS Conference (2021)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. CoRR (2021)
Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. RecSys (2021)
Tommaso Di Noia, Francesco M. Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
Conversational Recommendation: Theoretical Model and Complexity Analysis. CoRR (2021)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Daniele Malitesta, Felice Antonio Merra
Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity. OHARS@RecSys (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tommaso Di Noia