Improvement of Web retrieval by the use of contextual information of pages

Fernando Aguiar, M. Beigbeder
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引用次数: 2

Abstract

This work suggests a new model of Information Retrieval System for searching information in hypertexts representing web sites. The model is based on the construction of a 2-component index. One component concerns the HTML pages individually. The other one concerns the context of the pages. The assumed premise is that the textual content of a HTML page is not sufficient for a indexing process to extract the information that the page conveys. By the use of both local and complementary content when indexing pages, the quality of their index is improved and so is the effectiveness of the search engine.
利用网页的上下文信息改进网页检索
本文提出了一种新的信息检索系统模型,用于在代表网站的超文本中搜索信息。该模型建立在一个双成分指数的基础上。一个组件单独关注HTML页面。另一个与页面的上下文有关。假定的前提是,HTML页面的文本内容不足以让索引过程提取页面所传达的信息。通过在索引页面时同时使用本地内容和补充内容,可以提高索引的质量,从而提高搜索引擎的效率。
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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