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Philipp Hager

Ph.D. Candidate
IRLab, University of Amsterdam
p.k.hager (at) uva.nl


About Me

Hey there 👋, I’m a third year Ph.D. candidate in computer science at the University of Amsterdam, supervised by Maarten de Rijke and Onno Zoeter. I’m part of the Mercury Machine Learning Lab, a collaboration between the TU Delft, University of Amsterdam, and Booking.com.

Research Interests

Unbiased learning-to-rank, click modeling, off-policy learning, offline evaluation

Selected publications

  1. SIGIR 2024
    Unbiased Learning to Rank Meets Reality: Lessons from Baidu’s Large-Scale Search Dataset
    Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke
    International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
    PDF Code Slides BibTex

  2. RecSys 2023
    Collaborative filtering algorithms are prone to mainstream-taste bias
    Pantelis Analytis, Philipp Hager
    The ACM Conference on Recommender Systems (RecSys 2023)
    PDF Code Poster BibTex

  3. SIGIR 2023
    An Offline Metric for the Debiasedness of Click Models
    Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke
    International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
    PDF Code Poster BibTex

  4. ECIR 2023
    Contrasting Neural Click Models and Pointwise IPS Rankers
    Philipp Hager, Maarten de Rijke, Onno Zoeter
    The European Conference on Information Retrieval (ECIR 2023)
    PDF Code Poster BibTex

Selected talks

  1. ESSIR 2024
    Improvements That Add Up: An opinionated rant on reproducibility and progress in IR
    Philipp Hager
    The 15th European Summer School on Information Retrieval (ESSIR 2024)
    Slides Video Website

  2. WSDM 2024
    Unbiased Learning to Rank: On Recent Advances and Practical Applications
    Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
    The ACM International Conference on Web Search and Data Mining (WSDM 2024)
    Slides Video Website Paper BibTex

  3. ICAI 2023
    When Metrics Break Down - On Evaluating User Models from Clicks
    Philipp Hager
    ICAI: The Labs - Machine Learning in the service industry 2023
    Slides Website

  4. SIGIR 2023
    Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
    Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
    International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
    Slides Video Website Paper BibTex

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