All Stories

  1. Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?

    Article • October 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  2. Enhancing Sequential Music Recommendation with Personalized Popularity Awareness

    Article • October 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Aleksandr Petrov

  3. A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph

    Article • October 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  4. Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)

    Article • June 2024, ACM (Association for Computing Machinery)

    Tommaso Colafiglio, Tommaso Di Noia

  5. ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation

    Article • June 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Tommaso Colafiglio

  6. Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis

    Article • June 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  7. EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface

    Article • June 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Tommaso Colafiglio, Fabrizio Festa

  8. Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation

    Article • May 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Matteo Attimonelli

  9. Formalizing Multimedia Recommendation through Multimodal Deep Learning

    Article • ACM Transactions on Recommender Systems, April 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  10. Interactive Question Answering Systems: Literature Review

    Article • ACM Computing Surveys, April 2024, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  11. KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs

    Article • ACM Transactions on Recommender Systems, November 2023, ACM (Association for Computing Machinery)

    Antonio Ferrara, Tommaso Di Noia

  12. On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis

    Article • October 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  13. Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation

    Article • October 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  14. Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation

    Article • October 2023, ACM (Association for Computing Machinery)

    Raffaele Perego, Tommaso Di Noia

  15. A Review of Modern Fashion Recommender Systems

    Article • ACM Computing Surveys, September 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  16. KGTORe: Tailored Recommendations through Knowledge-aware GNN Models

    Article • September 2023, ACM (Association for Computing Machinery)

    Antonio Ferrara, Tommaso Di Noia

  17. Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy

    Article • September 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Dario Di Palma

  18. Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

    Article • September 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  19. Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives

    Article • September 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  20. Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries

    Article • July 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  21. An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework

    Article • June 2023, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Antonio Ferrara

  22. Interpretability of BERT Latent Space through Knowledge Graphs

    Article • October 2022, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  23. IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid

    Article • October 2022, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  24. Top-N Recommendation Algorithms: A Quest for the State-of-the-Art

    Article • July 2022, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  25. Aspect based sentiment analysis in music

    Article • April 2022, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  26. A Survey on Adversarial Recommender Systems

    Article • ACM Computing Surveys, March 2022, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  27. Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021

    Article • ACM SIGIR Forum, December 2021, ACM (Association for Computing Machinery)

    Prof. Francesco Maria Donini, Tommaso Di Noia

  28. A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders

    Article • October 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  29. Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization

    Article • September 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  30. Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)

    Article • September 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Prof. Francesco Maria Donini

  31. Sparse Feature Factorization for Recommender Systems with Knowledge Graphs

    Article • September 2021, ACM (Association for Computing Machinery)

    Antonio Ferrara, Tommaso Di Noia

  32. Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications

    Article • September 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Antonio Ferrara

  33. The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning

    Article • September 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  34. V-Elliot: Design, Evaluate and Tune Visual Recommender Systems

    Article • September 2021, ACM (Association for Computing Machinery)

    Antonio Ferrara, Prof. Francesco Maria Donini, Tommaso Di Noia

  35. A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images

    Article • July 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  36. Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Article • July 2021, ACM (Association for Computing Machinery)

    Antonio Ferrara, Tommaso Di Noia, Prof. Francesco Maria Donini

  37. Towards Improving Car Point-Cloud Tracking Via Detection Updates

    Article • May 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  38. How to put users in control of their data in federated top-N recommendation with learning to rank

    Article • March 2021, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Antonio Ferrara

  39. Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code

    Article • September 2020, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  40. How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models

    Article • July 2020, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  41. 2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS

    Article • November 2019, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  42. Formal model for user-centred adaptive mobile devices

    Article • IET Software, August 2017, the Institution of Engineering and Technology (the IET)

    Phd marina mongiello, Tommaso Di Noia, Prof. Francesco Maria Donini

  43. Sound and Music Recommendation with Knowledge Graphs

    Article • ACM Transactions on Intelligent Systems and Technology, January 2017, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Xavier Serra

  44. SPrank

    Article • ACM Transactions on Intelligent Systems and Technology, October 2016, ACM (Association for Computing Machinery)

    Tommaso Di Noia

  45. Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling

    Article • April 2016, ACM (Association for Computing Machinery)

    Tommaso Di Noia, Phd marina mongiello