(9) Webzeitgeist: Design Mining the Web

[CHI '13]
Webzeitgeist: Design Mining the Web

Ranjitha Kumar, Stanford University
Arvind Satyanarayan, Stanford University
Cesar Torres, Stanford University
Maxine Lim, Stanford University
Salman Ahmad, Massachusetts Institute of Technology
Scott R. Klemmer, Stanford University
Jerry O. Talton, Intel Corporation

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 arepository 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.