All Stories

  1. 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

  2. Formalizing Multimedia Recommendation through Multimodal Deep Learning

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

    Tommaso Di Noia

  3. Interactive Question Answering Systems: Literature Review

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

    Tommaso Di Noia

  4. 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

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

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

    Tommaso Di Noia

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

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

    Tommaso Di Noia

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

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

    Raffaele Perego, Tommaso Di Noia

  8. A Review of Modern Fashion Recommender Systems

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

    Tommaso Di Noia

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

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

    Antonio Ferrara, Tommaso Di Noia

  10. 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

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

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

    Tommaso Di Noia

  12. 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

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

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

    Tommaso Di Noia

  14. 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

  15. Interpretability of BERT Latent Space through Knowledge Graphs

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

    Tommaso Di Noia

  16. 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

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

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

    Tommaso Di Noia

  18. Aspect based sentiment analysis in music

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

    Tommaso Di Noia

  19. A Survey on Adversarial Recommender Systems

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

    Tommaso Di Noia

  20. 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

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

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

    Tommaso Di Noia

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

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

    Tommaso Di Noia

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

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

    Tommaso Di Noia, Prof. Francesco Maria Donini

  24. Sparse Feature Factorization for Recommender Systems with Knowledge Graphs

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

    Antonio Ferrara, Tommaso Di Noia

  25. 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

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

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

    Tommaso Di Noia

  27. 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

  28. 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

  29. 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

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

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

    Tommaso Di Noia

  31. 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

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

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

    Tommaso Di Noia

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

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

    Tommaso Di Noia

  34. 2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS

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

    Tommaso Di Noia

  35. 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

  36. 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

  37. SPrank

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

    Tommaso Di Noia

  38. 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