Large-scale Validation of Counterfactual Learning Methods: A Test-Bed

The ability to perform effective off-policy learning would revolutionize the process of building better interactive systems, such as search engines and recommendation systems for e-commerce, computational advertising and news. Recent approaches for off-policy evaluation and learning in these setting...

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Veröffentlicht in:	arXiv.org 2017-06
Hauptverfasser:	Lefortier, Damien, Swaminathan, Adith, Gu, Xiaotao, Joachims, Thorsten, de Rijke, Maarten
Format:	Artikel
Sprache:	eng
Schlagworte:	Advertising Algorithms Interactive systems Optimization Recommender systems Robustness (mathematics) Search engines Supervised learning System effectiveness Teaching methods Test procedures
Online-Zugang:	Volltext
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