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research on the recommending method used in c2c online trading
Cheng Guangyao
2007
Conference NameIEEE/WIC/ACM International Conference on Intelligent Agent Technology and Web Intelligence
SourceProceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
Pages103-106
Conference DateNOV 02-05,
Conference PlaceFremont, CA
Publish Place10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
PublisherPROCEEDING OF THE 2007 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS
ISBN978-0-7695-3028-4
DepartmentChinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English AbstractElectronic commerce becomes more, and more frequent and the online trading bases on C2C context are more common. However, the ever-increasing user size and commodities cause the problem of information overload. Collaborative filtering technolo
KeywordElectronic Commerce Information Retrieval Systems Intelligent Agents Learning Systems Technology
SponsorshipIEEE Comp Soc TCII, Web Intelligence Consortium, AMC SIGART
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10996
Collection基础软件国家工程研究中心
Recommended Citation
GB/T 7714
Cheng Guangyao. research on the recommending method used in c2c online trading[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:PROCEEDING OF THE 2007 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS,2007:103-106.
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