Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval

被引：4

作者：

Chang, CH ^{[1
]}

Hsu, CC ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

来源：

COMPUTER NETWORKS AND ISDN SYSTEMS | 1998年 / 30卷 / 1-7期

关键词：

query expansion; relevance feedback; document clustering;

D O I：

10.1016/S0169-7552(98)00076-2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Keyword based querying has been an immediate and efficient way to specify and retrieve related information that the user inquired. However, conventional document ranking based on an automatic assessment of document relevance to the query may not be the best approach when little information is given. In this poster, we propose an idea to integrate two existing techniques: query expansion and relevance feedback to achieve a concept-based information search for the Web. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

引用

页码：621 / 623

页数：3

共 6 条

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