Ontology highlight
ABSTRACT: Background
People increasingly rely on online health information for their health-related decision-making. Given the overwhelming amount of information available, the risk of misinformation is high. Health recommender systems, which recommend personalised health-related information or interventions using intelligent algorithms, have the potential to address this issue. Many such systems have been developed and evaluated individually, but there is a need to synthesise the evaluation findings to identify gaps and ensure that future recommender systems are designed to have a positive impact on health or target behaviours.Objective
The purpose of this review is to provide an overview of the state of the literature evaluating health recommender systems and highlight lessons lear
SUBMITTER: Ananthakrishnan A
PROVIDER: S-EPMC11459321 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature