Related Document Recommending Based on Weighted Association Rule Mining
基于加权关联规则挖掘的相关文献推荐*

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.