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Advances in data mining and knowledge discovery have
transformed the way Web sites are designed. However, while
visual presentation is an intrinsic part of the Web, traditional
data mining techniques ignore render-time page structures
and their attributes. This paper introduces design mining for
the Web: using knowledge discovery techniques to understand design demographics, automate design curation, and
support data-driven design tools. This idea is manifest in
Webzeitgeist, a platform for large-scale design mining comprising a repository of over 100,000 Web pages and 100 million design elements. This paper describes the principles driving design mining, the implementation of the Webzeitgeist
architecture, and the new class of data-driven design applications it enables. |
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