Improving category specific web search by learning query modifications

被引：33

作者：

Glover, EJ ^{[1
]}

Flake, GW ^{[1
]}

Lawrence, S ^{[1
]}

Birmingham, WP ^{[1
]}

Kruger, A ^{[1
]}

Giles, CL ^{[1
]}

Pennock, DM ^{[1
]}

机构：

[1] NEC Res Inst, Princeton, NJ 08540 USA

来源：

2001 SYMPOSIUM ON APPLICATIONS AND THE INTERNET, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/SAINT.2001.905165

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Users looking for documents within specific categories may have a difficult time locating valuable documents using general purpose search engines. We present an automated method for learning query modifications that can dramatically improve precision for locating pages within specified categories using web search engines. We also present a classification procedure that can recognize pages in a specific category with high precision, using textual content, text location, and HTML structure. Evaluation shows that the approach is highly effective for locating personal homepages and calls for papers. These algorithms are used to improve category specific search in the Inquirus 2 search engine.

引用

页码：23 / 31

页数：9

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