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 :
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