• 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