文章基本信息

标题：A Recommender System Model for Improving Elderly Well-Being : A Systematic Literature Review
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作者：Aini Khairani Azmi ; Noraswaliza Abdullah ; Nurul Akmar Emran 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2019
卷号：11
期号：2
页码：87-108
出版社：International Center for Scientific Research and Studies
摘要：Recommender systems are information filtering system that overcomes excess data problems by filtering fragments of important information from massive amount of information that dynamically generated according to user’s preferences, interests, or behaviors observed from an item. This paper presents a literature review regarding the recommender system to recommend an intervention to improve the well-being among the elderly. This paper is based on a method of systematic literature review, which is built from massive questions. It appears that numerous endeavors have been taken to improve the lives of those elderly in the findings. However, the efforts are scarce in improving the lives among elderly by using recommender system, as they focused more on a specific aspect such as nutrition and health. Therefore, this paper provides the basis for pursuing research in improving the elderly well-being through a recommender system that considers all aspects of successful ageing which are socialization, health, physical, cognitive, nutrition, spirituality and environment aspect that are essential for optimum well-being among the elderly.
关键词：Elderly well-being; Intervention of elderly; Recommender system; Successful Ageing; Systematic Literature Review