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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 demographicfiltering) to tailor health recommendation messages, and a content-based RS toschedule a timely delivery of the message. We also define metrics that we willuse to assess their performance, helping people quit smoking when we run thepilot.

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