Multifaceted Domain-Specific Document Embeddings. - Julian Risch; Philipp Hager 001; Ralf Krestel (NAACL-HLT (Demonstrations), 2021)

Contrasting Neural Click Models and Pointwise IPS Rankers. - Philipp Hager 001; Maarten de Rijke; Onno Zoeter (ECIR (1), 2023)

Recent Advancements in Unbiased Learning to Rank. - Shashank Gupta 001; Philipp K. Hager; Harrie Oosterhuis (FIRE, 2023)

Collaborative filtering algorithms are prone to mainstream-taste bias. - Pantelis Pipergias Analytis; Philipp Hager 001 (RecSys, 2023)

An Offline Metric for the Debiasedness of Click Models. - Romain Deffayet; Philipp Hager 001; Jean-Michel Renders; Maarten de Rijke (SIGIR, 2023)

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. - Shashank Gupta 001; Philipp Hager 001; Jin Huang 010; Ali Vardasbi; Harrie Oosterhuis (SIGIR, 2023)

Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler; Andrew Yates; Romain Deffayet; Philipp Hager 001; Sami Jullien (SIGIR Forum, 2023)

Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. - Philipp Hager 001; Romain Deffayet; Jean-Michel Renders; Onno Zoeter; Maarten de Rijke (SIGIR, 2024)

Unbiased Learning to Rank: On Recent Advances and Practical Applications. - Shashank Gupta 001; Philipp Hager 001; Jin Huang 010; Ali Vardasbi; Harrie Oosterhuis (WSDM, 2024)

Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models. - Morris de Haan; Philipp Hager 001 (CoRR, 2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank. - Philipp Hager 001; Onno Zoeter; Maarten de Rijke (ICTIR, 2025)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract). - Philipp Hager 001; Onno Zoeter; Maarten de Rijke (CoRR, 2025)

CLAX: Fast and Flexible Neural Click Models in JAX. - Philipp Hager 001; Onno Zoeter; Maarten de Rijke (CoRR, 2025)