基于Agent技术的电子商务智能导购模型
E-Commerce Intelligence Shopping Guide Model Based on Agent
网上购物中,如何实现为客户提供个性化服务是一个重点。以Agent技术作为支撑的电子商务导购模式正在兴起,该技术强调利用Agent技术挖掘用户喜好,加快搜索符合用户需求的商品信息,加强网上购物与商家零售过程的自动化。本文简要介绍了Agent技术,以网上影碟导购模型为研究对象,利用有效的偏好筛选算法,建立一个偏好评价模型,并较好的实现了导购目的。未来,可基于此模型构建一种智能导购组件,购物网站通过集成该组件,可以根据客户的购买经历和购买倾向来想客户自动推荐其感兴趣的产品,并能根据用户的购买过程来自动湖区用户个人购物偏好,从而使得商家能有针对性的为客户提供个性化服务。
How to build a E-shopping website which can give the customer some intelligent guides is more important. The E-Commerce shopping guide mode supported by Agent Technology is becoming popular, which uses Agent to dig customer favorite and speeds up to search the product information satisfied by the requirement of customer. It accentuates how to make use of agent technology to enhance the automation of shopping in the Internet and businessman’s selling process. This paper introduce Agent briefly that taking video shopping guide model on-line as object of study, using effective preference filtering algorithms and establishing a preference evaluation mode so as to achieve the purpose of shopping guide preferably. In the future, some E-shopping websites can designs and implements a intelligent E-shopping component based on the intelligence shopping guide model in this paper, which can commend the interested goods to the customer automatically based on the customer’s E-shopping taste. The enterprise can provide personally service to the customer based on component analyzed result.
陈细华、高健、王晟
自动化技术、自动化技术设备计算技术、计算机技术贸易经济
智能体数据挖掘偏好筛选
gentata MiningPreference Filtering
陈细华,高健,王晟.基于Agent技术的电子商务智能导购模型[EB/OL].(2008-12-30)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200812-974.点此复制
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