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万维网浏览中的强大规律。

Strong regularities in world wide web surfing.

作者信息

Huberman BA, Pirolli PLT, Pitkow JE, Lukose RM

机构信息

Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA.

出版信息

Science. 1998 Apr 3;280(5360):95-7. doi: 10.1126/science.280.5360.95.

DOI:10.1126/science.280.5360.95
PMID:9525865
Abstract

One of the most common modes of accessing information in the World Wide Web is surfing from one document to another along hyperlinks. Several large empirical studies have revealed common patterns of surfing behavior. A model that assumes that users make a sequence of decisions to proceed to another page, continuing as long as the value of the current page exceeds some threshold, yields the probability distribution for the number of pages that a user visits within a given Web site. This model was verified by comparing its predictions with detailed measurements of surfing patterns. The model also explains the observed Zipf-like distributions in page hits observed at Web sites.

摘要

在万维网上访问信息最常见的方式之一是沿着超链接从一个文档浏览到另一个文档。几项大型实证研究揭示了浏览行为的常见模式。一个模型假设用户做出一系列决策以进入另一个页面,只要当前页面的值超过某个阈值就继续,该模型得出了用户在给定网站内访问页面数量的概率分布。通过将其预测与浏览模式的详细测量结果进行比较,验证了该模型。该模型还解释了在网站上观察到的页面点击量中类似齐普夫分布的现象。

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