All Stories

  1. Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank

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

    Philipp Hager

  2. Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset

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

    Philipp Hager, Romain Deffayet

  3. Unbiased Learning to Rank: On Recent Advances and Practical Applications

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

    Philipp Hager

  4. Recent Advancements in Unbiased Learning to Rank

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

    Philipp Hager

  5. Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023

    Article • ACM SIGIR Forum, December 2023, ACM (Association for Computing Machinery)

    Ruqing Zhang, Philipp Hager

  6. Collaborative filtering algorithms are prone to mainstream-taste bias

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

    Philipp Hager

  7. Recent advances in learning ranking models from click data

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

    Philipp Hager

  8. An Offline Metric for the Debiasedness of Click Models

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

    Romain Deffayet, Philipp Hager