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.

引用

页数：5

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