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Daniele Malitesta
Daniele Malitesta
Postdoc Researcher, CentraleSupélec, Université Paris-Saclay
在 centralesupelec.fr 的电子邮件经过验证 - 首页
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引用次数
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Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ...
The 44th International ACM SIGIR Conference on Research and Development in …, 2021
1132021
TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems
T Di Noia, D Malitesta, FA Merra
the 50th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2020
512020
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, FA Merra
The 44th International ACM SIGIR Conference on Research and Development in …, 2021
292021
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
Y Deldjoo, T Di Noia, D Malitesta, FA Merra
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
192021
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering
VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, V Paparella, C Pomo
The 45th European Conference on Information Retrieval (ECIR'23), 2023
142023
Leveraging Content-Style Item Representation for Visual Recommendation
Y Deldjoo, T Di Noia, D Malitesta, FA Merra
The 44th European Conference on Information Retrieval (ECIR'22), 2022
142022
V-elliot: Design, evaluate and tune visual recommender systems
VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ...
Proceedings of the 15th ACM Conference on Recommender Systems, 768-771, 2021
142021
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering
VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, A Ferrara, D Malitesta, ...
2nd Workshop on Multi-Objective Recommender Systems (RecSys'22), 2022
82022
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, A Ferrara, D Malitesta, ...
Workshop on Deep Learning for Search and Recommendation (CIKM'22), 2022
72022
Formalizing Multimedia Recommendation through Multimodal Deep Learning
D Malitesta, G Cornacchia, C Pomo, FA Merra, T Di Noia, E Di Sciascio
ACM Transactions on Recommender Systems, 2024
6*2024
Deep learning-based adaptive image compression system for a real-world scenario
VW Anelli, Y Deldjoo, T Di Noia, D Malitesta
2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2020
52020
Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper).
VW Anelli, T Di Noia, D Malitesta, FA Merra
DP@ AI* IA 2776, 49-56, 2020
52020
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
ACM Mancino, A Ferrara, S Bufi, D Malitesta, T Di Noia, E Di Sciascio
The 17th ACM Conference on Recommender Systems (RecSys'23), 2023
42023
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems
D Malitesta, G Cornacchia, C Pomo, T Di Noia
2nd Workshop on A Well-Rounded Evaluation of Recommender Systems (KDD'23), 2023
42023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
VW Anelli, D Malitesta, C Pomo, A Bellogin, E Di Sciascio, T Di Noia
The 17th ACM Conference on Recommender Systems (RecSys'23), 2023
32023
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
D Malitesta, G Gassi, C Pomo, T Di Noia
The 31st ACM International Conference on Multimedia (MM'23), 2023
32023
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis
D Malitesta, G Cornacchia, C Pomo, T Di Noia
Workshop on Deep Multimodal Learning for Information Retrieval (MM'23), 2023
22023
A Topology-aware Analysis of Graph Collaborative Filtering
D Malitesta, C Pomo, VW Anelli, ACM Mancino, E Di Sciascio, T Di Noia
arXiv preprint arXiv:2308.10778, 2023
22023
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework
D Malitesta, C Pomo, VW Anelli, T Di Noia, A Ferrara
The 31st ACM Conference on User Modeling, Adaptation and Personalization …, 2023
22023
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries
FA Merra, VW Anelli, T Di Noia, D Malitesta, ACM Mancino
The 46th International ACM SIGIR Conference on Research and Development in …, 2023
22023
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