Paper Info
Title
Webzeitgeist: design mining the web
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.
Year
DOI
Venue
2013
10.1145/2470654.2466420
CHI
Keywords
Field
DocType
data mining,million design element,large-scale design mining,design demographics,design mining,data-driven design tool,web site,data-driven design application,traditional data mining technique,automate design curation,web design
Web development,Web design,Data science,World Wide Web,Web mining,Web intelligence,Web page,Computer science,Web design program,Web standards,Web modeling
Conference
Citations 
PageRank 
References 
49
2.16
21
Authors
7
Name
Order
Citations
PageRank
Ranjitha Kumar131319.54
Arvind Satyanarayan235519.79
Cesar Torres3492.49
Maxine Lim4903.89
Salman Ahmad51759.02
Scott Klemmer62977197.02
Jerry O. Talton727613.22