Comparing image users and uses with web analytics

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Abstract

This article uses a technique called Web Analytics to examine the behavior of end users interacting with an online, web-based image database that is part of a digital library. A quantitative analysis was conducted to compare the behavior of two types of visitors accessing the database (new visitors versus returning visitors). Significant behavior differences of the two groups of visitors are manifested on four aspects: visits, pages/visit, average time on the site, and bounce rate. New visitors behaved like “tourists” on the site, while returning visitors showed much more engagement with the image collections.

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