The InfoFinder agent: Learning user interests through heuristic phrase extraction

被引：40

作者：

Krulwich, B ^{[1
]}

Burkey, C ^{[1
]}

机构：

[1] ANDERSEN CONSULTING LLP,CTR STRATEG TECHNOL RES,NORTHBROOK,IL 60062

来源：

IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 1997年 / 12卷 / 05期

关键词：

D O I：

10.1109/64.621224

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

INFOFINDER USES SEVERAL INNOVATIVE APPROACHES FOR LEARNING USER INFORMATION INTERESTS FROM SETS OF MESSAGES OR OTHER ONLINE DOCUMENTS THAT USERS HAVE CLASSIFIED. INFOFINDER'S INNOVATIONS LEVERAGE THE UNIQUE ASPECTS OF LEARNING FROM USER-CLASSIFIED DOCUMENTS IN A REAL-WORLD SETTING. USERS FIND INFOFINDER TO BE AN ACCURATE AND VALUABLE TOOL FOR FINDING INFORMATION RELATING TO ONGOING INTERESTS.

引用

页码：22 / 27

页数：6

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