摘要
针对电子商务的日益兴盛,提出了以Agent技术支撑的电子商务导购模式。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。文中简要介绍了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。
Response to the growing prosperity of e-commerce is proposed to Agent technical support e-commerce guide mode, which uses Agent to dig customer favorite and speeds up to search the product information satisfied by the requirement of customer. This paper introduces Agent briefly that taking video shopping guide mode on-line as object of study, using effective mode so as to achieve the purpose of shopping guide preferably.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2009年第15期123-125,149,共4页
Journal of Wuhan University of Technology
基金
国家大学生创新性实验计划(B5041)
关键词
智能体
数据挖掘
偏好筛选
Agent
data mining
preference filtering