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计算机工程 ›› 2006, Vol. 32 ›› Issue (8): 219-220,228.

• 人工智能及识别技术 • 上一篇    下一篇

一种改进的电子商务系统商品搜索算法

陈明晶,姚建荣,唐志豪   

  1. 浙江财经学院信息学院,杭州 310012
  • 出版日期:2006-04-20 发布日期:2006-04-20

An Improved Algorithm of Searching Engine for E-Commerce

CHEN Mingjing, YAO Jianrong, TANG Zhihao   

  1. College of Information, Zhejiang University of Finance and Economic, Hangzhou 310012
  • Online:2006-04-20 Published:2006-04-20

摘要: 传统的电子商务系统中,使用关键字匹配的算法实现商品搜索的功能,只能得到包含顾客输入关键字的商品。文章以网上书店的实现为例,通过对商品搜索算法的改进,引入模糊系统和文本匹配算法,使得在顾客搜索商品时,不仅显示精确匹配的商品,而且可以提供与其要求相似的商品,供其参考。这对于商家增加交易机会、发掘潜在顾客、提高个性化服务水平都有很大的促进作用。

关键词: 电子商务;搜索算法;模糊系统

Abstract: In traditional E-C system, people search merchandise by matching keywords. It can only get the records which include these keywords.This paper improves the algorithm in a book store on-line. By using fuzzy system and matching-texts algorithm, when using it, it can not only display the exactly matching merchandise, but also display these which approximate to the demand. To the business, it can increase business,develop potential customer, and also enhance the service for individuation

Key words: e-Commerce; Search algorithm; Fuzzy system