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Design of a personalized recommendation system for ideological and political education using reinforcement learning

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Published in:Discover AI
Format: Online Article RSS Article
Published: 2026
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container_title Discover AI
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discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Discover AI
publishDate 2026
publishDateSort 2026
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spellingShingle Design of a personalized recommendation system for ideological and political education using reinforcement learning
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title Design of a personalized recommendation system for ideological and political education using reinforcement learning
title_auth Design of a personalized recommendation system for ideological and political education using reinforcement learning
title_full Design of a personalized recommendation system for ideological and political education using reinforcement learning
title_fullStr Design of a personalized recommendation system for ideological and political education using reinforcement learning
title_full_unstemmed Design of a personalized recommendation system for ideological and political education using reinforcement learning
title_short Design of a personalized recommendation system for ideological and political education using reinforcement learning
title_sort design of a personalized recommendation system for ideological and political education using reinforcement learning
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url https://link.springer.com/article/10.1007/s44163-026-00836-w