Webzeitgeist: design mining the web

Authors:
Ranjitha Kumar;Arvind Satyanarayan;Cesar Torres;Maxine Lim;Salman Ahmad;Scott R. Klemmer;Jerry O. Talton
Affiliations:
Stanford University, Palo Alto, California, USA;Stanford University, Palo Alto, California, USA;Stanford University, Palo Alto, California, USA;Stanford University, Palo Alto, California, USA;Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;Stanford University, Palo Alto, California, USA;Intel Corporation, Hillsboro, California, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2013

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Abstract

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.