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The Web is a dynamic, ever-changing collection of information accessed in a dynamic way. This paper explores the relationship between Web page content change (obtained from an hourly crawl of over 40K pages) and people's revisitation to those pages (collected via a large scale log analysis of 2.3M users). The paper identifies the relationship, or resonance, between revisitation behavior and the amount and type of changes on those pages. By coupling the large scale log analysis with a complementary user study one explores the intent behind the revisitation behavior one observed. Using the notion of resonance to identify the likely content of interest, the paper describes a number of ways interaction with changing and revisited information can be better supported.
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