Search Results for author: Philipp Hager

Found 3 papers, 2 papers with code

Multifaceted Domain-Specific Document Embeddings

1 code implementation NAACL 2021 Julian Risch, Philipp Hager, Ralf Krestel

Current document embeddings require large training corpora but fail to learn high-quality representations when confronted with a small number of domain-specific documents and rare terms.

Document Embedding Knowledge Graphs

An Offline Metric for the Debiasedness of Click Models

2 code implementations19 Apr 2023 Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke

We prove that debiasedness is a necessary condition for recovering unbiased and consistent relevance scores and for the invariance of click prediction under covariate shift.

counterfactual Learning-To-Rank +1

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

no code implementations4 May 2023 Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

This tutorial provides both an introduction to the core concepts of the field and an overview of recent advancements in its foundations along with several applications of its methods.

Fairness Learning-To-Rank

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