Wellbeing Recommender System, a User-Centered Framework for Generating a Recommender System for Healthy Aging
Jordi Torres, Meritxell Garcia, Garazi Artola, Garazi Artola, Teresa Garcia-Navarro, Isabel Amaya, Nekane Larburu, Nekane Larburu, Cristina Martin, Cristina Martin
2023
Abstract
The needs of the currently aging population require new technologies to support them in order to offer them a decent quality of life. Different interventions have been proposed in the last years to face this challenge, where recommender systems are gaining strength. The general objective of these systems is to promote the adoption of healthy habits among the end users, but sometimes they show limitations in the fulfilment of this goal. To overcome these limitations, our approach offers an easy to maintain, interoperable, and personalized recommender system capable of providing recommendations based on individuals’ daily activity data. A methodology is presented for the generation and management of wellbeing recommendations, which are then tested using a synthetically generated dataset that simulates a variety of user categories. With the evaluation of this data, a technical validation is carried on to assess the performance and scalability of our developed system.
DownloadPaper Citation
in Harvard Style
Torres J., Garcia M., Artola G., Garcia-Navarro T., Amaya I., Larburu N. and Martin C. (2023). Wellbeing Recommender System, a User-Centered Framework for Generating a Recommender System for Healthy Aging. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-645-3, SciTePress, pages 118-125. DOI: 10.5220/0011760600003476
in Bibtex Style
@conference{ict4awe23,
author={Jordi Torres and Meritxell Garcia and Garazi Artola and Teresa Garcia-Navarro and Isabel Amaya and Nekane Larburu and Cristina Martin},
title={Wellbeing Recommender System, a User-Centered Framework for Generating a Recommender System for Healthy Aging},
booktitle={Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2023},
pages={118-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011760600003476},
isbn={978-989-758-645-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - Wellbeing Recommender System, a User-Centered Framework for Generating a Recommender System for Healthy Aging
SN - 978-989-758-645-3
AU - Torres J.
AU - Garcia M.
AU - Artola G.
AU - Garcia-Navarro T.
AU - Amaya I.
AU - Larburu N.
AU - Martin C.
PY - 2023
SP - 118
EP - 125
DO - 10.5220/0011760600003476
PB - SciTePress