A Collaborative Filtering Recommender System Model for Recommending Intervention to Improve Elderly Well-being
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
In improving elderly well-being nowadays, people at home or health care centre are mostly focusing on guarding and monitoring the elderly using tools, such as CCTV, robots, and other appliances that require a great deal of cost and neat fixtures to prevent damage. Elderly observations using the recommender system are found to be implemented, but only focusing on one aspect such as nutrition and health. However, it is important to give interventions to an elderly by concentrating more on the multiple aspects of successful ageing such as social, environment, health, physical, mental and other so that it can help the elderly people in achieving successful ageing as well as improving their well-being. In this paper, two recommender system models are proposed to recommend interventions for improving elderly well-being in the multiple aspects of successful ageing. These models using a Collaborative Filtering (CF) technique to recommend interventions to an elderly based on the interventions given to other elderly who have similar conditions with the user. The process of recommending interventions involves the generation of user profiles presenting the elderly conditions in multiple aspects of successful ageing. It also applying the k-Nearest Neighbor (kNN) method to find users with similar conditions and recommending interventions based on the interventions given to the similar user. The experiment is conducted to determine the performance of the proposed Collaborative Filtering (CF) recommender system and Collaborative Filtering and Profile Matching (CFS) compared to the Basic Search (BS). The results of the experiment showed that Collaborative Filtering (CF) recommender system and Collaborative Filtering and Profile Matching (CFS) outperformed Basic Search (BS) in terms of precision, recall and F1 measure. This result showed that the proposed models are efficient to recommend interventions using elderly profiles based on many aspects of successful ageing.
Authors and Affiliations
Aini Khairani Azmi, Noraswaliza Abdullah, Nurul Akmar Emran
Keywords
Related Articles
- EP ID EP594267
- DOI 10.14569/IJACSA.2019.0100619
- Views 94
- Downloads 0
Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding
In cloud infrastructure, accommodating multiple virtual networks on a single physical network reduces power consumed by physical resources and minimizes cost of operating cloud data centers. However, mapping multiple vir...
A Review of Text Messaging (SMS) as a Communication Tool for Higher Education
Since 2011, The Limerick Institute of Technology (School of Applied Science Engineering & Technology) has actively engaged in a course of research to determine if SMS can be used to (1) increase student’s preparation...
Public Transportation Management System based on GPSWiFi and Open Street Maps
Information technology (IT) has transformed many industries, from education to health care to government, and is now in the early stages of transforming transportation systems. Transportation faces many issues like high...
A Proposed Framework for Generating Random Objective Exams using Paragraphs of Electronic Courses
Objective exams (OE) plays a major role in educational assessment as well as in electronic learning. The main problem in the traditional system of exams is a low quality of questions caused by some human factors, such as...
Convenience and Medical Patient Database Benefits and Elasticity for Accessibility Therapy in Different Locations
When a patient comes to a hospital, clinic, physician practices or other clinics, the enrollment section will ask whether the patient in question had never come or not. If the patient in question said he had never come t...