| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
