Intelligent healthcare agent for food recommendation at Tainan City

Abstract

Nowadays, people sometimes eat too much and exercise too little, causing their weight more than their healthy weight range and even developing a disease such as diabetes. In this paper, an intelligent healthcare agent, including an ontology construction mechanism and a food route recommendation mechanism, is proposed for food recommendation at Tainan City. The proposed agent combines the ontology with the fuzzy inference mechanism and the intelligent search mechanism not only to make a guide to Tainan City gourmet but also to display how many calories this gourmet has on the Google Map. In this way, the user can enjoy delicious food while he can stay healthy. The experimental results show that the proposed agent can effectively recommend a personalized schedule of enjoying Tainan City gourmet.