Evolutionary approach for building, exploring and recommending complex items with application in nutritional interventions

B Ortiz-Viso, A Morales-Garzón… - IEEE …, 2023 - ieeexplore.ieee.org
Over the last few years, the ability of recommender systems to help us in different
environments has been increasing. Several systems try to offer solutions in highly complex …

Survey on collaborative and content-based recommendation systems

SA Thorat, G Ashwini, M Seema - 2023 5th International …, 2023 - ieeexplore.ieee.org
In recent times information available on Internet is growing at the exponential rate. This
makes searching correct information very difficult and it is challenging to perform the same …

When Recommender Systems Snoop into Social Media, Users Trust them Less for Health Advice

Y Sun, M Drivas, M Liao, SS Sundar - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Recommender systems (RS) have become increasingly vital for guiding health actions.
While traditional systems filter content based on either demographics, personal history of …

Situation-aware recommendation system for personalized healthcare applications

A Saad, H Fouad, AA Mohamed - Journal of Ambient Intelligence and …, 2021 - Springer
Personalized healthcare applications are designed with the help of handheld devices for
providing instantaneous monitoring and diagnosis. Modern healthcare applications are …

[HTML][HTML] Dietary intake and health status of elderly patients with type 2 diabetes mellitus: cross-sectional study using a mobile app in primary care

JD Coleone, EA Bellei, MK Roman… - JMIR Formative …, 2021 - formative.jmir.org
Background: Healthy dietary intake reduces the risk of complications of diabetes mellitus.
Using assessment methods helps to understand these circumstances, and an electronic …

CDRec-CAS: cross-domain recommendation using context-aware sequences

T Anwar, V Uma, G Srivastava - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recommender Systems (RSs) are a subclass of information filtering systems. RSs assist
users in choosing interesting items from an extensive collection of items. This article …

Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial

I Coppens, T De Pessemier, L Martens - User Modeling and User-Adapted …, 2024 - Springer
Physical inactivity is a public health issue. Mobile health interventions to promote physical
activity often still experience dropout, resulting in people not adhering to the interventions …

[PDF][PDF] A User-centric System for Improving Human-Computer Interaction through Fuzzy Logic-based Assistive Messages.

C Troussas, A Krouska, C Sgouropoulou - WEBIST, 2021 - academia.edu
The fast growth of the internet and communication technology in recent years has resulted in
rendering computers easily accessible to everyone. However, people have different …

A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and …

AM Honka, H Nieminen, H Similä, J Kaartinen… - IEEE …, 2022 - ieeexplore.ieee.org
Health recommender systems (HRSs) have the potential to effectively personalize well-
being related behavior change interventions to the needs of individuals. However …

[HTML][HTML] Feedback Collection and Nearest-Neighbor Profiling for Recommendation Systems in Healthcare Scenarios

J António, R Malheiro, S Jardim - Technologies, 2024 - mdpi.com
The rise in the dimension and complexity of information generated in the clinical field has
motivated research on the automation of tasks in personalized healthcare. Recommendation …