article

Nutrition for Elder Care: a nutritional semantic recommender system for the elderly

Authors:

María V. Hurtado,

Manuel NogueraAuthors Info & Claims

Expert Systems: The Journal of Knowledge Engineering, Volume 33, Issue 2

Pages 201 - 210

https://doi.org/10.1111/exsy.12143

Published: 01 April 2016 Publication History

Abstract

The awareness and familiarity of elderly people with the use of new technologies have increased considerably in the last few years, which consequently cause a higher willingness to the use of these technologies in their daily lives. This allows the elderly to benefit from technology through active and conscious participation in activities related to health, leisure and promotion of social relationships, fostering active ageing. Three large dimensions cover almost a major part of health care within the framework of early and intermediate stages of active ageing: physical exercise, healthy nutrition and cognitive stimulation. In this paper, we present a nutritional recommender system, Nutrition for Elder Care, intended to help elderly users to draw up their own healthy diet plans following the nutritional experts guidelines. The system has been developed with the intensive use of Semantic Web technologies pursuing knowledge sharing and reuse between different applications and agents and the discovering of implicit new knowledge.

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Cited By

Li MLi LTao XHuang JHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and HealthinessProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657857(564-574)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657857
Felfernig AWundara MTran TLe VLubos SPolat-Erdeniz S(2024)Sports recommender systems: overview and research directionsJournal of Intelligent Information Systems10.1007/s10844-024-00857-w62:4(1125-1164)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s10844-024-00857-w
Nahar KBanikhalaf MIbrahim FAbual-Rub MAlmomani AGupta B(2023)A Rule-Based Expert Advisory System for Restaurants Using Machine Learning and Knowledge-Based Systems TechniquesInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.33306419:1(1-25)Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.4018/IJSWIS.333064
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Index Terms

Nutrition for Elder Care: a nutritional semantic recommender system for the elderly
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics

Index terms have been assigned to the content through auto-classification.

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cover image Expert Systems: The Journal of Knowledge Engineering

Expert Systems: The Journal of Knowledge Engineering Volume 33, Issue 2

April 2016

84 pages

ISSN:0266-4720

EISSN:1468-0394

Issue’s Table of Contents

Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 01 April 2016

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Cited By

Li MLi LTao XHuang JHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and HealthinessProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657857(564-574)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657857
Felfernig AWundara MTran TLe VLubos SPolat-Erdeniz S(2024)Sports recommender systems: overview and research directionsJournal of Intelligent Information Systems10.1007/s10844-024-00857-w62:4(1125-1164)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s10844-024-00857-w
Nahar KBanikhalaf MIbrahim FAbual-Rub MAlmomani AGupta B(2023)A Rule-Based Expert Advisory System for Restaurants Using Machine Learning and Knowledge-Based Systems TechniquesInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.33306419:1(1-25)Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.4018/IJSWIS.333064
Magnini MCiatto GCantürk FAydoğan ROmicini A(2023)Symbolic knowledge extraction for explainable nutritional recommendersComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2023.107536235:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.cmpb.2023.107536
Li JRoy SAmiri M(2022)Meal Planning for Alzheimer's Disease Using an Ontology-Assisted Multiple Criteria Decision-Making ApproachInternational Journal of E-Health and Medical Communications10.4018/IJEHMC.31613313:1(1-14)Online publication date: 30-Dec-2022
https://dl.acm.org/doi/10.4018/IJEHMC.316133
Calvaresi DEggenschwiler SCalbimonte JManzo GSchumacher M(2021)A personalized agent-based chatbot for nutritional coachingIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493992(682-687)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493992
Mondal SBasu AMukherjee N(2020)Building a trust-based doctor recommendation system on top of multilayer graph databaseJournal of Biomedical Informatics10.1016/j.jbi.2020.103549110:COnline publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1016/j.jbi.2020.103549
Cioara TAnghel ISalomie IBarakat LMiles SReidlinger DTaweel ADobre CPop F(2018)Expert system for nutrition care process of older adultsFuture Generation Computer Systems10.1016/j.future.2017.05.03780:C(368-383)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2017.05.037

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