Belief revision for adaptive recommender agents in E-commerce

被引：0
|
作者：
Lau, RYK [1 ]
机构：
[1] Queensland Univ Technol, Ctr Informat Technol Innovat, Brisbane, Qld 4001, Australia
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING | 2003年 / 2690卷
关键词：
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：
Recommender systems are a well-known technology for E-commerce. This paper illustrates a novel recommender agent model which combines the inductive power brought by text mining methods with the non-monotonic reasoning capability offered by a belief revision system to improve the agents' prediction effectiveness, learning autonomy, and explanatory capabilities.
引用
收藏
页码：99 / 103
页数：5
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