%0 Journal Article
%T Research on Web personalized recommendation based on correlation analysis of association rule<br>基于关联规则相关性分析的Web个性化推荐研究
%A YI Zhi
%A WANG Lin-lin
%A WANG Lian
%A <br>易芝
%A 汪林林
%A 王练
%J 重庆邮电大学学报(自然科学版)
%D 2007
%I 
%X Through discussing the problems occur in Web personalized recommendations, an improved algorithm based on correlation analysis of association rule is proposed. The experiment is performed and the results show that the improved algorithm can not only realize Web personalization with lower support but also increase the recommendation precision and speed.
%K mining association rule
%K correlation analysis of association rule
%K Web personalized recommendation
%K support<br>关联规则挖掘
%K 关联规则相关性分析
%K Web个性化推荐
%K 支持度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=6B2121C667BAD91F&yid=A732AF04DDA03BB3&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=D9AE183D3F5C3C75&eid=FE4C96E058BB2280&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=7