CS547 Human-Computer Interaction Seminar (Seminar on People, Computers, and Design)
Fridays 12:30-1:50 · Gates B01 · Open to the public Previous | Next
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May 24, 2013 You need Flash player 8+ and JavaScript enabled to view this video.
The billions of pages on the Web today provide an opportunity to understand
design practice on a truly massive scale: each page comprises a concrete
example of visual problem solving, creativity, and aesthetics. In recent
years, data mining and knowledge discovery have revolutionized the Web,
driving search engines, advertising platforms, and recommender systems that
are used by billions of people every day. However, data mining traditionally
focuses on the content of Web pages, ignoring how that content is
presented. What can we learn from mining design?
This thesis presents Webzeitgiest, a scalable platform for Web design mining. Webzeitgeist consists of a repository of pages processed into data structures that facilitate large-scale design knowledge extraction. With Webzeitgeist, users can find, understand, and leverage visual design data in Web applications. In this talk, I'll demonstrate how software tools built on top of Webzeitgeist can be used to dynamically curate design galleries, search for design alternatives, retarget content between page designs, and even predict the semantic role of page elements from design data. As more and more creative work is done digitally and shared in the cloud, Webzeitgeist provides a concrete illustration of how design mining principles can be applied to benefit content creators and consumers. To learn more, visit webzeitgeist.stanford.edu. |
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