All Stories

  1. LXR: Learning to eXplain Recommendations

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

    Yehonatan Elisha, Noam Koenigstein

  2. Refining Fidelity Metrics for Explainable Recommendations

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

    Yehonatan Elisha, Noam Koenigstein, Mikhail Baklanov

  3. KPAR: Knowledge-aware Path-based Attentive Recommender with Interpretability

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

    Noam Koenigstein

  4. Probabilistic Path Integration with Mixture of Baseline Distributions

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

    Yehonatan Elisha, Noam Koenigstein

  5. A Learning-based Approach for Explaining Language Models

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

    Yehonatan Elisha, Noam Koenigstein

  6. A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems

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

    Noam Koenigstein

  7. Personalized Cadence Awareness for Next Basket Recommendation

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

    Noam Koenigstein

  8. Deep Integrated Explanations

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

    Noam Koenigstein, Yehonatan Elisha

  9. Modeling users' repurchase cycles in groceries

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

    Noam Koenigstein

  10. Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering

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

    Noam Koenigstein