Analysis of a web content categorization system based on multi-agents

被引：0
|
作者：
Sousa, PAC [1 ]
Pimentao, JP
Santos, BRD
Garçao, AS
机构：
[1] Univ Nova Lisboa, Fac Ciencias & Tecnol, Caparica, Portugal
[2] Univ Nova Lisboa, Caparica, Portugal
来源：
ADVANCES IN WEB INTELLIGENCE, PROCEEDINGS | 2004年 / 3034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：
This paper presents a Multi-Agent based web content categorization system. The system was prototyped using an Agents' Framework for Internet data collection. The agents employ supervised learning techniques, specifically text learning to capture users preferences. The Framework and its application to E-commerce are described and the results achieve during the IST DEEPSIA project are shown. A detailed description of the most relevant system agents as well as their information flow is presented. The advantages derived from agent's technology application are conferred.
引用
收藏
页码：184 / 195
页数：12
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