<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: arial,helvetica,sans-serif; font-size: 12pt; color: #000000'><b>Design Mining the Web </b>
<br>
<b><a href="http://hci.stanford.edu/%7Eranju/">Ranjitha Kumar</a></b>, <a href="http://www.stanford.edu/">Stanford University</a>
<br>Monday, April 15th, 4:30pm<br>Computer Science 105<br>
<br>
The Web has transformed the nature of creative work. For the first time,
millions of people have a direct outlet for sharing their creations
with the world. As a result, the Web has become the largest repository
of design knowledge in human history, and the ensuing "democratization
of design" has created a critical feedback loop, engendering a new
culture of reuse and remixing.<br><br><p>
The means and methods designers employ to draw on prior work, however,
remain mostly informal and ad hoc. How can content producers find
relevant examples amongst hundreds of millions of possibilities and
leverage existing design practice to inform and improve their creations?
My research explores data-driven techniques for working with examples
at scale during the design process, automating search and curation,
enabling rapid retargeting, and learning generative probabilistic models
to support new design interactions. Knowledge discovery and data mining
have revolutionized informatics; in this talk, I'll discuss what we can
learn from mining design. <br></p><p><br></p>
Ranjitha Kumar is a PhD candidate in the Computer Science Department at
Stanford University, where she builds principled, data-driven tools for
amplifying human creativity in design. Her work has received best paper
awards or nominations at both of the premiere HCI conferences (CHI and
UIST), and been recognized by the machine learning community through
invited papers at IJCAI and ICML. She is the recipient of the 2011
Google PhD Fellowship in Design Development, and holds a BS in Computer
Science from Stanford.
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