  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.
