mining the customers up-to-moment preferences for e-commerce     recommendation

ISCAS OpenIR

	mining the customers up-to-moment preferences for e-commerce recommendation
	Shen YD; Yang Q; Zhang Z; Lu HJ
	2003
会议名称	7th Pacific-Asia Conference on Knowledge Discovery and Data Mining
页码	166-177
会议日期	APR 30-MAY
会议地点	SEOUL, SOUTH KOREA
收录类别	sci ; istp
出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者	ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
ISSN	0302-9743
ISBN	3-540-04760-3
部门归属	Chinese Acad Sci, Inst Software, Comp Sci Lab, Beijing 100864, Peoples R China. Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China. Simon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada.
摘要	Most existing data mining approaches to e-commerce recommendation are past data model-based in the sense that they first build a preference model from a past dataset and then apply the model to current customer situations. Such approaches are
主办者	KAIST, Adv Informat Technol Res Ctr, SNU, Stat Res Ctr Complex Syst, Korea Informat Sci Soc, Korean Datamining Soc, USAF, Off Sci Res, Asian Off Aerosp Res & Dev, ACM SIGKDD
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/13236
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Shen YD,Yang Q,Zhang Z,et al. mining the customers up-to-moment preferences for e-commerce recommendation[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING,2003:166-177.