Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
The multi armed bandit problem under delayed rewards conditions in digital campaign management
Year:2018
Research Areas
  • Artificial intelligence,
  • Operative research
Information
Abstract
The most representative allocation strategies to deal with the multi-armed bandit problem are analyzed in a context with delayed rewards by means of a numerical study based on a discrete event simulation. The scenario that we address is 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. Both batch mode and online update architectures are considered for feedback from the different contents displayed to users. The results show that possibilistic reward (PR) methods outperform other allocation strategies in this scenario with delayed rewards.
International
Si
Congress
11th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2018)
960
Place
Pisa, Italia
Reviewers
Si
ISBN/ISSN
978-9963-2227-5-9
Start Date
14/12/2018
End Date
16/12/2018
From page
10
To page
10
Programme and Abstracts
Participants
  • Autor: Miguel Martín
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Alfonso Mateos Caballero (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)