%0 Journal Article
%T Related Document Recommending Based on Weighted Association Rule Mining<br>基于加权关联规则挖掘的相关文献推荐*
%A Chen Zuqin Zhang Huiling Ge Jike Zheng Hong
%A <br>陈祖琴
%A 张惠玲
%A 葛继科
%A 郑宏
%J 现代图书情报技术
%D 2007
%I 
%X This paper uses association rule mining algorithm to analyze the database and to recommend related document.Meanwhile,this paper proposes mixed weighted association rules that fit to recommend related document.This paper identifies the related document and the vertical weight by analyzing users' behavior.The authors use the Google's PageRank algorithm to define the documents' horizontal weight and obtain some meaningful results.
%K Data mining Association rule Weighted association rule Algorithm Related document recommending<br>数据挖掘
%K 关联规则
%K 加权关联规则
%K 算法
%K 相关文献推荐
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=ECB8206CA6A2608D05E5A2EBE1318A96&yid=A732AF04DDA03BB3&vid=0B39A22176CE99FB&iid=F3090AE9B60B7ED1&sid=11B4E5CC8CDD3201&eid=1D0FA33DA02ABACD&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=7