Daniele Malitesta

2025

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SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction.
Felice Antonio Merra|Kristian Skracic|Daniele Malitesta|Jacek Golebiowski|Pasquale Minervini
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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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
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2024

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Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024.
Ludovico Boratto|Daniele Malitesta|Mirko Marras|Giacomo Medda|Cataldo Musto|Erasmo Purificato
SIGIR Forum 2024 Volume 58 Issue 1
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Graph Neural Networks for Recommendation Leveraging Multimodal Information.
Daniele Malitesta
SIGIR Forum 2024 Volume 58 Issue 1
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Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
Jun Wang|Daniele Malitesta|Emanuele Rossi|Shi Zhou|Claudio Pomo|Dell Zhang|Tommaso Di Noia|Fragkiskos D. Malliaros
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024).
Ludovico Boratto|Daniele Malitesta|Mirko Marras|Giacomo Medda|Cataldo Musto|Erasmo Purificato
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V
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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
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

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Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.
Vito Walter Anelli|Yashar Deldjoo|Tommaso Di Noia|Daniele Malitesta|Vincenzo Paparella|Claudio Pomo
Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part I
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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
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

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Leveraging Content-Style Item Representation for Visual Recommendation.
Yashar Deldjoo|Tommaso Di Noia|Daniele Malitesta|Felice Antonio Merra
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II

2021

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Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.
Vito Walter Anelli|Alejandro Bellogín|Antonio Ferrara|Daniele Malitesta|Felice Antonio Merra|Claudio Pomo|Francesco Maria Donini|Tommaso Di Noia
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
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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
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021