An intelligent news recommender agent for filtering and categorizing large volumes of text corpus

被引：15

作者：

Chiang, JH ^{[1
]}

Chen, YC ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 70101, Taiwan

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2004年 / 19卷 / 03期

关键词：

D O I：

10.1002/int.10136

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents an intelligent news recommender agent (INRA), which can be used to filter news articles as well as to recommend relevant news for individual user automatically. Three specific objectives underlie the presentation of the intelligent news-recommender agent in this study. The first is to describe the basic architecture of this approach, and the second is to show the design of the fuzzy hierarchical mixture of the expert model for text categorization. The third and more elaborate goal is to show that the proposed system is able to perform a news recommending process. We show this approach with standard benchmark examples of the Reuters-21578 in order to verify the effectiveness of news recommending. (C) 2004 Wiley Periodicals, Inc.

引用

页码：201 / 216

页数：16

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