DocumentCode
2052162
Title
Design of Health Eating System Based on Web Data Mining
Author
Li, Xiaocheng ; Xin Liu ; Zhang, Zengjie ; Xia, Yongming ; Qian, Songrong
Author_Institution
Dept. of Commun. Sci. & Eng., Fudan Univ., Shanghai, China
Volume
1
fYear
2010
fDate
14-15 Aug. 2010
Firstpage
346
Lastpage
349
Abstract
With the pace of life gradually accelerated nowadays, fast-food becomes more and more popular in daily life, which would lead unhealthy eating habit. In order to solve this problem, we present a proposal of healthy eating analyzing and recommender system based on web data mining, which would track your eating habit and recommend the types of foods that improve your health and avoid the types of foods that raise your risk for illnesses. In this paper, we first introduce some basic knowledge of web data mining. Then a web-based data mining solution to healthy eating analyzing and recommender system is brought up. Finally we post the system implementation proposal for this system.
Keywords
data mining; recommender systems; Web data mining; eating habit; fast-food; healthy eating system; recommender system; Association rules; Classification algorithms; Data acquisition; Databases; Proposals; Recommender systems; healthy eating; recommender system; web data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location
Beidaihe, Hebei
Print_ISBN
978-1-4244-7506-3
Electronic_ISBN
978-1-4244-7507-0
Type
conf
DOI
10.1109/ICIE.2010.89
Filename
5571145
Link To Document