On the evolution of clusters of near-duplicate Web pages

Dennis Fetterly, M. Manasse, Marc Najork
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引用次数: 176

Abstract

We expand on a 1997 study of the amount and distribution of near-duplicate pages on the World Wide Web. We downloaded a set of 150 million Web pages on a weekly basis over the span of 11 weeks. We then determined which of these pages are near-duplicates of one another, and tracked how clusters of near-duplicate documents evolved over time. We found that 29.2% of all Web pages are very similar to other pages, and that 22.2% are virtually identical to other pages. We also found that clusters of near-duplicate documents are fairly stable: Two documents that are near-duplicates of one another are very likely to still be near-duplicates 10 weeks later. This result is of significant relevance to search engines: Web crawlers can be fairly confident that two pages that have been found to be near-duplicates of one another will continue to be so for the foreseeable future, and may thus decide to recrawl only one version of that page, or at least to lower the download priority of the other versions, thereby freeing up crawling resources that can be brought to bear more productively somewhere else.
关于近重复Web页面集群的演变
我们在1997年对万维网上近重复页面的数量和分布的研究基础上进行了扩展。在11周的时间里,我们每周下载了1.5亿个网页。然后,我们确定这些页面中哪些页面彼此之间几乎是重复的,并跟踪几乎重复的文档集群如何随着时间的推移而演变。我们发现,29.2%的Web页面与其他页面非常相似,22.2%的页面与其他页面几乎完全相同。我们还发现,近似重复的文档集群相当稳定:两个彼此近似重复的文档很可能在10周后仍然近似重复。这一结果与搜索引擎有着重要的相关性:Web爬虫程序可以相当确信,在可预见的未来,两个被发现彼此几乎重复的页面将继续如此,因此可能决定只重新抓取该页面的一个版本,或者至少降低其他版本的下载优先级,从而释放抓取资源,这些资源可以用于更有效的其他地方。
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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