Design of Health Eating System Based on Web Data Mining

Xiaocheng Li, Xin Liu, Zengjie Zhang, Yongming Xia, Songrong Qian
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引用次数: 10

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.
基于Web数据挖掘的健康饮食系统设计
如今,随着生活节奏的逐渐加快,快餐在日常生活中变得越来越流行,这会导致不健康的饮食习惯。为了解决这一问题,我们提出了一种基于web数据挖掘的健康饮食分析与推荐系统,该系统可以跟踪你的饮食习惯,为你推荐对你的健康有益的食物,避免增加你患病风险的食物。本文首先介绍了web数据挖掘的一些基本知识。在此基础上,提出了基于web的健康饮食分析与推荐系统的数据挖掘解决方案。最后给出了本系统的系统实现方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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