| 2026 | SIGIR | Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank. | Stan Fris, Philipp Hager |
| 2026 | SIGIR | CLAX: Fast and Flexible Neural Click Models in JAX. | Philipp Hager, Onno Zoeter, Maarten de Rijke |
| 2025 | IPIN | RSSI-based Indoor Localization using Point Mass Filter on a Discretized Grid Map with Pedestrian Dead Reckoning Integration. | Philipp Hager, Martin Schmidhammer, Susanna Kaiser, Christian Gentner |
| 2025 | ICTIR | Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank. | Philipp Hager, Onno Zoeter, Maarten de Rijke |
| 2024 | SIGIR | 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 |
| 2024 | WSDM | Unbiased Learning to Rank: On Recent Advances and Practical Applications. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | ECIR | Contrasting Neural Click Models and Pointwise IPS Rankers. | Philipp Hager, Maarten de Rijke, Onno Zoeter |
| 2023 | IPIN | Server based Bluetooth Low Energy (BLE) Positioning using Received Signal Strength (RSS) Measurements. | Christian Gentner, Philipp Hager, Markus Ulmschneider |
| 2023 | RecSys | Collaborative filtering algorithms are prone to mainstream-taste bias. | Pantelis Pipergias Analytis, Philipp Hager |
| 2023 | SIGIR | An Offline Metric for the Debiasedness of Click Models. | Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke |
| 2023 | SIGIR | Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2021 | NAACL | Multifaceted Domain-Specific Document Embeddings. | Julian Risch, Philipp Hager, Ralf Krestel |