Webzeitgeist: Design mining the Web

Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, Maxine Lim, Salman Ahmad, Scott R. Klemmer, Jerry O. Talton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationCHI 2013
Subtitle of host publicationChanging Perspectives, Conference Proceedings - The 31st Annual CHI Conference on Human Factors in Computing Systems
Pages3083-3092
Number of pages10
DOIs
StatePublished - 2013
Externally publishedYes
Event31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013 - Paris, France
Duration: Apr 27 2013May 2 2013

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013
CountryFrance
CityParis
Period4/27/135/2/13

Keywords

  • Data mining
  • Web design

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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