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题名:
mining the customers up-to-moment preferences for e-commerce recommendation
作者: Shen YD ; Yang Q ; Zhang Z ; Lu HJ
会议名称: 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining
会议日期: APR 30-MAY
出版日期: 2003
会议地点: SEOUL, SOUTH KOREA
出版者: ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
出版地: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
收录类别: sci ; istp
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.
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
英文摘要: 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
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/13236
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Shen YD,Yang Q,Zhang Z,et al. mining the customers up-to-moment preferences for e-commerce recommendation[C]. 见:7th Pacific-Asia Conference on Knowledge Discovery and Data Mining. SEOUL, SOUTH KOREA. APR 30-MAY.
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