Title identification of web article pages using HTML']HTML and visual features

被引：2
|
作者：
Fan, Jian [1 ]
Luo, Ping [2 ]
Joshi, Parag [1 ]
机构：
[1] Hewlett Packard Labs, 1501 Page Mill Rd, Palo Alto, CA 94304 USA
[2] Hewlett Packard Labs, Beijing 100084, Peoples R China
来源：
IMAGING AND PRINTING IN A WEB 2.0 WORLD II | 2011年 / 7879卷
关键词：
data extraction; web article extraction; title identification;
D O I：
10.1117/12.876708
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Extracting informative content from Web article pages has many applications such as printing and content reuse. Title is a very significant and unique component of an article. However, identifying the true title is not an easy problem even for human readers. In this paper, we present a title identification method that takes into account of several features including the title field of the HTML page and HTML tag of a DOM node as well as font size and horizontal alignment. We tested our method on a ground truth data set consisting of 1993 pages from 98 web sites and achieved 97.5% accuracy, about 20% above a baseline method based on only the font size.
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页数：5
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