All Stories

  1. Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings

    Article • July 2025, ACM (Association for Computing Machinery)

    Aleksandr Petrov

  2. Improving Effectiveness by Reducing Overconfidence in Large Catalogue Sequential Recommendation with gBCE loss

    Article • ACM Transactions on Recommender Systems, April 2025, ACM (Association for Computing Machinery)

    Aleksandr Petrov

  3. Enhancing Sequential Music Recommendation with Personalized Popularity Awareness

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

    Tommaso Di Noia, Aleksandr Petrov

  4. Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items

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

    Aleksandr Petrov

  5. RecJPQ: Training Large-Catalogue Sequential Recommenders

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

    Aleksandr Petrov

  6. Effective and Efficient Transformer Models for Sequential Recommendation

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

    Aleksandr Petrov

  7. gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

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

    Aleksandr Petrov

  8. RSS: Effective and Efficient Training for Sequential Recommendation using Recency Sampling

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

    Aleksandr Petrov

  9. A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

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

    Aleksandr Petrov

  10. Effective and Efficient Training for Sequential Recommendation using Recency Sampling

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

    Aleksandr Petrov