摘要
随着电子商务的发展,个性化推荐系统得到了越来越广泛的应用,实现个性化推荐的基础是采集能够反映顾客偏好的信息。本文通过分析将隐式信息采集方法应用到个性化推荐系统中顾客信息采集时的特点,提出了一种面向点击、停留数据统计的个性化数据采集方法,并基于Ajax技术给出了应用实现。
Along with the development of electronic commerce, the personalized recommendation system gets widely applied, The basal problem that carries out personalized recommendation is how to collect the information that can reflect customer＇s preference. Through implicit information collection technique and analyzing the characteristics of these techniques when applying them to the customer＇s information collection in recommend system, a personalized information collection method for the statistics of click and stop over is proposed, and an applied scheme is constructed base on Ajax technique.
出处
《现代情报》
北大核心
2006年第11期10-13,共4页
Journal of Modern Information
基金
国家自然科学基金资助(70402009)
天津市高校科技发展基金资助(20030613)
天津师范大学博士基金资助(52RL005)
关键词
电子商务
隐式信息采集
AJAX
electronic commerce
implicit information collection
Ajax
