%0 Journal Article
%T Realizing Adaptive Web Cites Based on Correlative Page Set<br>基于闭相关页面集实现网站自适应
%A GUO Ping
%A CHEN Ting
%A LI Dong
%A <br>郭平
%A 陈婷
%A 李东
%J 计算机科学
%D 2006
%I 
%X Adaptive web cites can automatically and flexibly improve their organization to fit users' requirements and application environments that are always changing continually.According to concept of frequent-close-item-set based on graph,this paper provides method of on-line dynamic recommendation based on close correlative page set mined from websites' logs of a period.This method improves problems of sparsity and expansibility of traditional collaborative rec- ommendation and enhances quality of service without increasing servers' load.Finally this paper analyzes two methods of measuring performance of recommendation system and evaluates the system.
%K Adaptive web cite
%K Correlative page set
%K Close correlative page set
%K Dynamic recommendation<br>网站自适应
%K 相关页面集
%K 闭相关页面集
%K 动态推荐
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=25500172832FF4DA&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=80A07035DF96B0C4&eid=9C65ADEB5990B252&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=13