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- [47] Research on the technology for systems design of E-business[J]. INFORMATION TECHNOLOGY AND ORGANIZATIONS: TRENDS, ISSUES, CHALLENGES AND SOLUTIONS, VOLS 1 AND 2, 2003, : 1157 - 1159Makino, M
PERSONALISED RECOMMENDER SYSTEMS FOR E-BUSINESS INTELLIGENCE WITH SOFT COMPUTING
被引：0
|作者：
Lu, Jie
[1
]
机构：
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Decis Syst & EServ Intelligence Lab,Sch Software, Broadway, NSW 2007, Australia
来源：
关键词：
Recommender Systems;
Soft Computing;
e-Business Intelligence;
RESEARCH RESOURCES;
FUZZY;
REPRESENTATION;
MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
This talk will introduce some popular recommendation approaches and, in particular, present the recent developments by our Decision Systems and e-Service Intelligence (DeSI) lab in personalised recommender systems and their applications. It consists of three main parts: the models and approaches of recommender systems, the applications of soft computing in recommender systems, and recent developments of recommender system applications in e-business intelligence.
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页码：11 / 17
页数：7
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