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.
陈祖琴,张惠玲,葛继科,郑宏. 基于加权关联规则挖掘的相关文献推荐*[J]. 现代图书情报技术, 2007, 2(10): 57-61.
Chen Zuqin,Zhang Huiling,Ge Jike,Zheng Hong. Related Document Recommending Based on Weighted Association Rule Mining. New Technology of Library and Information Service, 2007, 2(10): 57-61.
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