A Recommendation System for Personalized Daily Life Services to Promote Frailty Prevention

Abstract

Frailty is a clinical syndrome that commonly occurs in older adults and characterizes an intermediate state between robust health and the loss of autonomy. As such, it is crucial to identify and evaluate frailty to preserve the abilities of older adults and reduce the loss of their functional capabilities. This paper proposes a personalized service recommendation framework designed, to assist senior citizens in selecting appropriate services, to prevent frailty and improve autonomy.

This framework is based on a multidimensional evaluation of the elderly person, considering both user’s status information and service-related data. It defines a four steps recommendation process, including personal characteristics identification, needs identification, service types identification, and service identification. To support this, both knowledge-based and rule-based approaches are defined and employed to generate personalized recommendations that align with the individual’s specific needs. The effectiveness of the proposal is evaluated using different representative scenarios, of which an example is described in detail that demonstrates the developed recommendation process, algorithms and relevant rules.