使用组合页面搜索网络

R. Varadarajan, Vagelis Hristidis, Tao Li
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引用次数: 2

摘要

给定一个用户关键字查询,当前的Web搜索引擎将返回一个页面列表,这些页面按照它们相对于该查询的“优点”进行排序。然而,该技术忽略了内容分布在多个物理页面上并通过超链接和框架连接的结果[3]。也就是说,通常没有一个页面包含所有查询关键字。Li等人[3]通过返回一个包含所有查询关键字的超链接页面树,为解决这个问题迈出了第一步。这种方法的局限性在于它在页面级粒度上操作,忽略了在页面中找到关键字的特定上下文。更重要的是,由于每个页面树中的数据量和大量页面树,用户定位最理想的页面树是很麻烦的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching the web using composed pages
Given a user keyword query, current Web search engines return a list of pages ranked by their “goodness” with respect to the query. However, this technique misses results whose contents are distributed across multiple physical pages and are connected via hyperlinks and frames [3]. That is, it is often the case that no single page contains all query keywords. Li et al. [3] make a first step towards this problem by returning a tree of hyperlinked pages that collectively contain all query keywords. The limitation of this approach is that it operates at the page-level granularity, which ignores the specific context where the keywords are found within the pages. More importantly, it is cumbersome for the user to locate the most desirable tree of pages due to the amount of data in each page tree and a large number of page trees.
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