Intelligent healthcare agent for food recommendation at Tainan City

Chang Shing Lee; Mei Hui Wang; Wei Chun Sun; Yung-Chun Chang

doi:10.1109/ICSMC.2008.4811492

Intelligent healthcare agent for food recommendation at Tainan City

Chang Shing Lee, Mei Hui Wang, Wei Chun Sun, Yung-Chun Chang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE International Conference on Systems, Man and Cybernetics
Pages	1465-1470
Number of pages	6
DOIs	https://doi.org/10.1109/ICSMC.2008.4811492
Publication status	Published - 2008
Externally published	Yes

Keywords

Agent
Ant colony algorithm
Fuzzy inference
Healthcare
Ontology

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICSMC.2008.4811492

Cite this

@inproceedings{f35fb9fc0fbd4883bbd98bc9eb400f16,

title = "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.",

keywords = "Agent, Ant colony algorithm, Fuzzy inference, Healthcare, Ontology",

author = "Lee, {Chang Shing} and Wang, {Mei Hui} and Sun, {Wei Chun} and Yung-Chun Chang",

year = "2008",

doi = "10.1109/ICSMC.2008.4811492",

language = "English",

pages = "1465--1470",

booktitle = "IEEE International Conference on Systems, Man and Cybernetics",

}

TY - GEN

T1 - Intelligent healthcare agent for food recommendation at Tainan City

AU - Lee, Chang Shing

AU - Wang, Mei Hui

AU - Sun, Wei Chun

AU - Chang, Yung-Chun

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Agent

KW - Ant colony algorithm

KW - Fuzzy inference

KW - Healthcare

KW - Ontology

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U2 - 10.1109/ICSMC.2008.4811492

DO - 10.1109/ICSMC.2008.4811492

M3 - Conference contribution

AN - SCOPUS:69949116410

SP - 1465

EP - 1470

BT - IEEE International Conference on Systems, Man and Cybernetics

ER -

Intelligent healthcare agent for food recommendation at Tainan City

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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