Auditing fairness under unawareness through counterfactual reasoning von Cornacchia, Giandomenico, Anelli, Vito Walter, Biancofiore, Giovanni Maria, Narducci, Fedelucio, Pomo, Claudio, Ragone, Azzurra, Di Sciascio, Eugenio

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Conversational recommendation: Theoretical model and complexity analysis von Di Noia, Tommaso, Donini, Francesco Maria, Jannach, Dietmar, Narducci, Fedelucio, Pomo, Claudio

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A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders von Bellini, Vito, Di Sciascio, Eugenio, Donini, Francesco Maria, Pomo, Claudio, Ragone, Azzurra, Schiavone, Angelo

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Formalizing Multimedia Recommendation through Multimodal Deep Learning von Malitesta, Daniele, Cornacchia, Giandomenico, Pomo, Claudio, Merra, Felice Antonio, Di Noia, Tommaso, Di Sciascio, Eugenio

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Four Key Factors to Design a Web of Things Architecture von Bruni, Francesco, Pomo, Claudio, Murgolo, Gaetano

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On fast prototyping LoRaWAN: a cheap and open platform for daily experiments von Pulpito, Mariano, Fornarelli, Paolo, Pomo, Claudio, Boccadoro, Pietro, Grieco, Luigi Alfredo

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Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering von Anelli, Vito Walter, Deldjoo, Yashar, Di Noia, Tommaso, Malitesta, Daniele, Paparella, Vincenzo, Pomo, Claudio

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Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation von Malitesta, Daniele, Pomo, Claudio, Di Noia, Tommaso

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Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure von Ardito, Carmelo, Di Noia, Tommaso, Di Sciascio, Eugenio, Lofú, Domenico, Mallardi, Giulio, Pomo, Claudio, Vitulano, Felice

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Fashion Image-to-Image Translation for Complementary Item Retrieval von Attimonelli, Matteo, Pomo, Claudio, Jannach, Dietmar, Di Noia, Tommaso

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On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis von Malitesta, Daniele, Cornacchia, Giandomenico, Pomo, Claudio, Di Noia, Tommaso

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Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation von Malitesta, Daniele, Gassi, Giuseppe, Pomo, Claudio, Di Noia, Tommaso

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Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation von Attimonelli, Matteo, Danese, Danilo, Di Fazio, Angela, Malitesta, Daniele, Pomo, Claudio, Di Noia, Tommaso

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Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? von Malitesta, Daniele, Rossi, Emanuele, Pomo, Claudio, Di Noia, Tommaso, Malliaros, Fragkiskos D

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Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach von Malitesta, Daniele, Rossi, Emanuele, Pomo, Claudio, Malliaros, Fragkiskos D, Di Noia, Tommaso

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Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation von Attimonelli, Matteo, Danese, Danilo, Malitesta, Daniele, Pomo, Claudio, Gassi, Giuseppe, Di Noia, Tommaso

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DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis von Mancino, Alberto Carlo Maria, Bufi, Salvatore, Di Fazio, Angela, Malitesta, Daniele, Pomo, Claudio, Ferrara, Antonio, Di Noia, Tommaso

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A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph von Malitesta, Daniele, Pomo, Claudio, Anelli, Vito Walter, Mancino, Alberto Carlo Maria, Di Noia, Tommaso, Di Sciascio, Eugenio

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Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation von Malitesta, Daniele, Pomo, Claudio, Tommaso Di Noia

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EB-NeRD: A Large-Scale Dataset for News Recommendation von Kruse, Johannes, Kasper Lindskow, Kalloori, Saikishore, Polignano, Marco, Pomo, Claudio, Srivastava, Abhishek, Uppal, Anshuk, Andersen, Michael Riis, Frellsen, Jes

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