Elliot: A comprehensive and rigorous framework for reproducible recommender systems evaluation VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ... Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 133 | 2021 |
Top-n recommendation algorithms: A quest for the state-of-the-art VW Anelli, A Bellogín, T Di Noia, D Jannach, C Pomo Proceedings of the 30th ACM Conference on User Modeling, Adaptation and …, 2022 | 52 | 2022 |
Reenvisioning the comparison between neural collaborative filtering and matrix factorization VW Anelli, A Bellogín, T Di Noia, C Pomo Proceedings of the 15th ACM Conference on Recommender Systems, 521-529, 2021 | 42 | 2021 |
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them VW Anelli, T Di Noia, E Di Sciascio, C Pomo, A Ragone Proceedings of the 13th ACM Conference on Recommender Systems, 447-451, 2019 | 37 | 2019 |
Auditing fairness under unawareness through counterfactual reasoning G Cornacchia, VW Anelli, GM Biancofiore, F Narducci, C Pomo, A Ragone, ... Information Processing & Management 60 (2), 103224, 2023 | 34 | 2023 |
On fast prototyping LoRaWAN: a cheap and open platform for daily experiments M Pulpito, P Fornarelli, C Pomo, P Boccadoro, LA Grieco IET Wireless Sensor Systems, 2018 | 21 | 2018 |
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration V Bellini, GM Biancofiore, T Di Noia, E Di Sciascio, F Narducci, C Pomo | 19 | 2020 |
Auditing consumer-and producer-fairness in graph collaborative filtering VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, V Paparella, C Pomo European Conference on Information Retrieval, 33-48, 2023 | 18 | 2023 |
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure C Ardito, T Di Noia, E Di Sciascio, D Lofú, G Mallardi, C Pomo, F Vitulano International Conference on Human-Centred Software Engineering, 181-189, 2020 | 18 | 2020 |
Pursuing privacy in recommender systems: the view of users and researchers from regulations to applications VW Anelli, L Belli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci, C Pomo Proceedings of the 15th ACM Conference on Recommender Systems, 838-841, 2021 | 15 | 2021 |
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ... | 15 | 2021 |
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, ... DL4SR@ CIKM, 2022 | 12 | 2022 |
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 | 11 | 2022 |
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 | 10* | 2024 |
Challenging the myth of graph collaborative filtering: a reasoned and reproducibility-driven analysis VW Anelli, D Malitesta, C Pomo, A Bellogín, E Di Sciascio, T Di Noia Proceedings of the 17th ACM Conference on Recommender Systems, 350-361, 2023 | 10 | 2023 |
Explanation in multi-stakeholder recommendation for enterprise decision support systems G Cornacchia, FM Donini, F Narducci, C Pomo, A Ragone International Conference on Advanced Information Systems Engineering, 39-47, 2021 | 10 | 2021 |
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation D Malitesta, G Gassi, C Pomo, T Di Noia Proceedings of the 31st ACM International Conference on Multimedia, 9668-9671, 2023 | 7 | 2023 |
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems D Malitesta, G Cornacchia, C Pomo, T Di Noia | 7 | 2023 |
On popularity bias of multimodal-aware recommender systems: a modalities-driven analysis D Malitesta, G Cornacchia, C Pomo, T Di Noia Proceedings of the 1st International Workshop on Deep Multimodal Learning …, 2023 | 5 | 2023 |
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 | 5 | 2023 |