DeNews - A personalized news system

被引：0

作者：

Wee, ALK ^{[1
]}

Tong, LC ^{[1
]}

Chng, TJ ^{[1
]}

机构：

[1] Natl Univ Singapore, Inst Syst Sci, Singapore 119597, Singapore

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 1997年 / 13卷 / 04期

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：

Many commercial systems and much R&D work are aimed at easing the information explosion problem resulting from the advent of the Information Superhighway. One solution is to personalize the information to the specific interests of a user. A personalized news system named DeNews has been developed to track multilingual news sources, filter the relevant news articles, learn about the user's interests, sort news articles into defined classes, deliver them in full or summarized form, and translate them to a specific language. Many advanced text and natural language processing techniques are required to implement these functions and to facilitate the multilingual aspect of DeNews and the overall management of the huge amount of news articles. It is envisaged that the technology developed with DeNews will be especially suitable in a domain-specific corporate business environment, where accurate and timely information is critical. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：249 / 257

页数：9

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