How-to information search by lightweight analysis of web pages

Ryouji Nonaka, T. Yumoto, M. Nii, Yutaka Takahashi
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引用次数: 2

Abstract

We propose a method for searching for comprehensible how-to information on the Web. In our how-to information search, we use lightweight analysis of Web pages to extract how-to information from Web pages obtained by conventional Web search engines and rank them according to their easily-viewable-degree. In the extraction process, we focus on expressions in Web page text blocks that describe procedures. In the ranking process, we focus on images, the effect of letter string and the length of the how-to information.
如何通过轻量级的网页分析来进行信息搜索
我们提出了一种在网络上搜索可理解的如何操作信息的方法。在我们的指南信息搜索中,我们使用Web页面的轻量级分析,从传统Web搜索引擎获得的Web页面中提取指南信息,并根据其易于查看的程度对其进行排序。在提取过程中,我们重点关注描述过程的Web页面文本块中的表达式。在排名过程中,我们主要关注图片、字母串的效果和how-to信息的长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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