Open AccessRecommender system in a non-stationary context: recommending job ads in pandemic times
Author(s) -
Guillaume Bied,
Solal Nathan,
Elia Pérennès,
Victor Alfonso Naya,
Philippe Caillou,
Bruno Crépon,
Christophe Gaillac,
Michèle Sébag
Publication year - 2022
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - recommender system , computer science , context (archaeology) , pandemic , covid-19 , world wide web , history , medicine , disease , archaeology , pathology , infectious disease (medical specialty)
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