output
20192021
most citedAdvances and Challenges in Conversational Recommender Systems: A Survey

343 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021 · cs.LGShow all

2 papers · 2 filters

cs.LG2021★ 41 cited

Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression

Olivier Sprangers, Sebastian Schelter, Maarten de Rijke

Gradient Boosting Machines (GBM) are hugely popular for solving tabular data problems. However, practitioners are not only interested in point predictions, but also in probabilisti…

cs.LG2021★ 7 cited

Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank

Harrie Oosterhuis, Maarten de Rijke

Existing work in counterfactual Learning to Rank (LTR) has focussed on optimizing feature-based models that predict the optimal ranking based on document features. LTR methods base…