How recommender systems could support and enhance computer-tailored digital health programs: A scoping review

Kei Long Cheung; Dilara Durusu; Xincheng Sui; Hein de Vries

doi:10.1177/2055207618824727

How recommender systems could support and enhance computer-tailored digital health programs: A scoping review

Kei Long Cheung^*, Dilara Durusu, Xincheng Sui, Hein de Vries

^*Corresponding author for this work

Research output: Contribution to journal › Review article › Academic › peer-review

15 Citations (Web of Science)

Original language	English
Article number	2055207618824727
Pages (from-to)	1-19
Number of pages	19
Journal	Digital health
Volume	5
DOIs	https://doi.org/10.1177/2055207618824727
Publication status	Published - 24 Jan 2019

Keywords

Adoption
computer tailoring
digital health
eHealth
hybrid
recommender system
usage
user experience
INTERVENTIONS
BEHAVIORS
WEB

Access to Document

10.1177/2055207618824727

Cite this

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title = "How recommender systems could support and enhance computer-tailored digital health programs: A scoping review",

keywords = "Adoption, computer tailoring, digital health, eHealth, hybrid, recommender system, usage, user experience, INTERVENTIONS, BEHAVIORS, WEB",

author = "Cheung, {Kei Long} and Dilara Durusu and Xincheng Sui and {de Vries}, Hein",

year = "2019",

month = jan,

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language = "English",

volume = "5",

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AU - Cheung, Kei Long

AU - Durusu, Dilara

AU - Sui, Xincheng

AU - de Vries, Hein

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Y1 - 2019/1/24

KW - Adoption

KW - computer tailoring

KW - digital health

KW - eHealth

KW - hybrid

KW - recommender system

KW - usage

KW - user experience

KW - INTERVENTIONS

KW - BEHAVIORS

KW - WEB

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DO - 10.1177/2055207618824727

M3 - Review article

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JF - Digital health

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M1 - 2055207618824727

ER -