摘要
本文结合网页结构,充分考虑用户在网页的滞留时间和页面切换,基于Bayes概率提出了一种能挖掘出优良的用户兴趣迁移模式及感兴趣的页面。采用本文提出的思想及算法,再结合人工智能策略,将能更好地辅助网站设计,并为电子商务的决策提供充分依据。
An effective Web mining method based on the Bayesian probability for mining user interest patterns and the most favorable pages, which fully considers user browsing time and switching among Web pages and integrates the structure among Web pages, is proposed in this paper. The method and algorithm with AI strategies will be able to better design Web sites and provide productive suggestions for electronic commerce.
出处
《计算机工程与科学》
CSCD
2003年第5期17-19,26,共4页
Computer Engineering & Science
基金
甘肃省科技攻关基金(219903)
甘肃工业大学科研基金(0261)
