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：
QUANTITATIVE LOGIC AND SOFT COMPUTING | 2012年 / 5卷
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.
引用
收藏
页码：11 / 17
页数：7
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