Descripción
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In this paper, we account for a digital marketing content recommendation system, called campaign management, used by marketers to create specific digital content that can be issued or configured for viewing by certain population segments according to a series of business variables, user profile or behavior. We analyze the most representative allocation strategies to deal with the multi-armed bandit problem in a context with delayed rewards by means of a numerical study based on a discrete event simulation. Both batch mode and online update architectures are considered for feedback from the different contents displayed to users | |
Internacional
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Si |
Nombre congreso
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6th International Conference on Control, Decision and Information Technologies |
Tipo de participación
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960 |
Lugar del congreso
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París, Francia |
Revisores
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Si |
ISBN o ISSN
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978-1-7281-0521-5 |
DOI
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Fecha inicio congreso
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23/04/2019 |
Fecha fin congreso
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26/04/2019 |
Desde la página
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952 |
Hasta la página
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959 |
Título de las actas
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Proceedings of the 6th International Conference on Control, Decision and Information Technologies, IEEE Xplore |