Corpus ID: 5311068

Design of two combined health recommender systems for tailoring messages in a smoking cessation app

@article{HorsFraile2016DesignOT,
  title={Design of two combined health recommender systems for tailoring messages in a smoking cessation app},
  author={S. Hors-Fraile and Francisco J N{\'u}{\~n}ez-Benjumea and L. Hern{\'a}ndez and F. Ruiz and L. Fern{\'a}ndez-Luque},
  journal={ArXiv},
  year={2016},
  volume={abs/1608.07192}
}
  • S. Hors-Fraile, Francisco J Núñez-Benjumea, +2 authors L. Fernández-Luque
  • Published 2016
  • Computer Science
  • ArXiv
  • In this article, we describe the design of two recommender systems (RS) designed to support the smoking cessation process through a mobile application. We plan to use a hybrid RS (content-based, utility-based, and demographic filtering) to tailor health recommendation messages, and a content-based RS to schedule a timely delivery of the message. We also define metrics that we will use to assess their performance, helping people quit smoking when we run the pilot. 

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