All Stories

  1. Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems

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

    Elias Tragos

  2. A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy

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

    Qinqin Wang, Elias Tragos

  3. ALS Algorithm for Robust and Communication-Efficient Federated Learning

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

    Elias Tragos

  4. Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation

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

    Barry Smyth, Elias Tragos, Qinqin Wang

  5. Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation

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

    Elias Tragos

  6. FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems

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

    Elias Tragos, Qinqin Wang

  7. PyRecGym

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

    Elias Tragos

  8. FIESTAIoT Project

    Article • January 2018, ACM (Association for Computing Machinery)

    Elias Tragos