UniRank: Unimodal Bandit Algorithm for Online Ranking

Autor: Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont

Publikováno v: ICML 2022-39th International Conference on Machine Learning
ICML 2022-39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.1-31
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International audience; We tackle, in the multiple-play bandit setting, the online ranking problem of assigning $L$ items to $K$ predefined positions on a web page in order to maximize the number of user clicks. We propose a generic algorithm, UniRan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3042ce94d22c04407d90d23a114a1f9
https://inria.hal.science/hal-03740981

Bandit Algorithm for Both Unknown Best Position and Best Item Display on Web Pages

Autor: Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont

Publikováno v: IDA 2021-19th International Symposium on Intelligent Data Analysis
IDA 2021-19th International Symposium on Intelligent Data Analysis, Apr 2021, Porto (virtual), Portugal. pp.12
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International audience; Multiple-play bandits aim at displaying relevant items at relevant positions on a web page. We introduce a new bandit-based algorithm, PB-MHB, for online recommender systems which uses the Thompson sampling framework with Metr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f5f177a43e36de7eb63310a5da020479
https://hal.archives-ouvertes.fr/hal-03163763