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Approximating Aggregate Queries about Web Pages via Random Walks

机译:通过随机散步近似于关于网页的聚合查询

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We present a random walk as an efficient and accurate approach to approximating certain aggregate queries about web pages. Our method uses a novel random walk to produce an almost uniformly distributed sample of web pages. The walk traverses a dynamically built regular undirected graph. Queries we have estimated using this method include the coverage ofsearch engines, the proportion of pages belonging to com and other domains, and the average size of web pages. Strong experimental evidence suggests that our walk produces accurate results quickly using very limited resources.
机译:我们将随机步行作为一种高效且准确的方法,以估计关于网页的某些聚合查询。我们的方法使用新颖的随机步行来产生几乎均匀分布的网页样本。步行遍历动态构建的常规无向图。查询我们使用此方法估计包括覆盖引擎的覆盖范围,属于COM和其他域的页面的比例,以及网页的平均大小。强大的实验证据表明我们的步行能够快速使用非常有限的资源产生准确的结果。

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