Scalable information extraction for web queries

被引：0
|
作者：
Hsu, Meichun [1 ]
Xiong, Yuhong [2 ]
机构：
[1] Hewlett Packard Labs, 1501 Page Mill Rd, Palo Alto, CA 94022 USA
[2] Innovat Works, Beijing 100084, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING | 2010年 / 5卷 / 3-4期
关键词：
web mining; parallel computing; classification; information extraction; focused crawling;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The dominant way to find information on the web nowadays is through search. General search engines are very effective, but search phrases and results are unstructured and that limits a user's ability to further automate the processing of the search results. In recent years, we have seen efforts to build systems that support more precise query on the web for certain content verticals. We describe the general problems for building an extensible web query system and present one of our projects in this area - a vertical search portal for online courses.
引用
收藏
页码：176 / 184
页数：9
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