Hager, Philipp
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1

Unbiased Learning to Rank Meets Reality: Lessons from Baidu..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
 
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2

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

, In: Proceedings of the 17th ACM International Conference on Web Search and Data Mining,
Gupta, Shashank ; Hager, Philipp ; Huang, Jin.. - p. 1118-1121 , 2024
 
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3

Recent Advances in the Foundations and Applications of Unbi..:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Gupta, Shashank ; Hager, Philipp ; Huang, Jin.. - p. 3440-3443 , 2023
 
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4

Contrasting Neural Click Models and Pointwise IPS Rankers:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
 
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5

Server based Bluetooth Low Energy (BLE) Positioning using R..:

, In: 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN),
 
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6

Collaborative filtering algorithms are prone to mainstream-..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
 
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7

An Offline Metric for the Debiasedness of Click Models:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
 
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8

Deep-space CubeSats: thinking inside the box:

Walker, Roger ; Binns, David ; Bramanti, Cristina...
Astronomy & Geophysics.  59 (2018)  5 - p. 5.24-5.30 , 2018
 
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9

Schlussbericht für das Projekt "LUISE - Lunares In-Situ Ex.. 

Untersuchung von ISRU-Fähigkeiten durch solar-thermischen,... 
 
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Recent Advancements in Unbiased Learning to Rank:

, In: Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation,
 
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13

Bluetooth Low Energy-Based Indoor Positioning System for Mo..:

Hager, Philipp
https://elib.dlr.de/202097/1/thesis-philipp-hager.pdf.  , 2023
 
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