Daniele Malitesta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
8
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction. | Felice Antonio Merra, Kristian Skracic, Daniele Malitesta, Jacek Golebiowski, Pasquale Minervini |
| 2025 | RecSys | How Powerful are LLMs to Support Multimodal Recommendation? A Reproducibility Study of LLMRec. | Maria Lucia Fioretti, Nicola Laterza, Alessia Preziosa, Daniele Malitesta, Claudio Pomo, Fedelucio Narducci, Tommaso Di Noia |
| 2025 | RecSys | How Fair is Your Diffusion Recommender Model? | Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Mirko Marras, Fragkiskos D. Malliaros, Ludovico Boratto |
| 2025 | RecSys | Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec). | Alberto Carlo Maria Mancino, Matteo Attimonelli, Angela Di Fazio, Daniele Malitesta, Tommaso Di Noia |
| 2025 | RecSys | First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec). | Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz |
| 2025 | SIGIR | DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems. | Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia |
| 2024 | CIKM | Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? | Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros |
| 2024 | ECIR | First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). | Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato |
| 2024 | RecSys | A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. | Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio |
| 2024 | WWW | Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation. | Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia |
| 2023 | ECIR | Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo |
| 2023 | KDD | Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems. | Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia |
| 2023 | RecSys | Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. | Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogn, Eugenio Di Sciascio, Tommaso Di Noia |
| 2023 | RecSys | KGTORe: Tailored Recommendations through Knowledge-aware GNN Models. | Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio |
| 2023 | SIGIR | Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. | Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino |
| 2022 | CIKM | Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2022 | ECIR | Leveraging Content-Style Item Representation for Visual Recommendation. | Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |
| 2022 | RecSys | How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2021 | CVPR | A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems. | Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |
| 2021 | RecSys | V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2021 | RecSys | Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity. | Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Daniele Malitesta, Felice Antonio Merra |
| 2021 | SIGIR | Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. | Vito Walter Anelli, Alejandro Bellogn, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2021 | SIGIR | A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |
| 2020 | DSN | TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems. | Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |