Information navigation on the web by clustering and summarizing query results

被引：40
作者：
Roussinov, DG [1 ]
Chen, HC
机构：
[1] Syracuse Univ, Sch Informat Studies, Ctr Sci & Technol 4 234, Syracuse, NY 13244 USA
[2] Univ Arizona, Coll Business & Publ Adm, Dept Management Informat Syst, Tucson, AZ 85721 USA
来源：
INFORMATION PROCESSING & MANAGEMENT | 2001年 / 37卷 / 06期
关键词：
information retrieval; neural networks; clustering; summarization; relevance feedback; World Wide Web; Internet spiders; search engines;
D O I：
10.1016/S0306-4573(00)00062-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (AltaVista), thus allowing searches of the significant portion of World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (AltaVista) directly. We also analyzed effects of various related demographic and task related parameters. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：789 / 816
页数：28
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