Data-driven web design

Ranjitha Kumar, Jerry O. Talton, Salman Ahmad, Scott R. Klemmer

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

Abstract

This short paper summarizes challenges and opportunities of applying machine learning methods to Web design problems, and describes how structured prediction, deep learning, and probabilistic program induction can enable useful interactions for designers. We intend for these techniques to foster new work in data-driven Web design.

Original languageEnglish (US)
Title of host publicationProceedings of the 29th International Conference on Machine Learning, ICML 2012
StatePublished - Oct 10 2012
Externally publishedYes
Event29th International Conference on Machine Learning, ICML 2012 - Edinburgh, United Kingdom
Duration: Jun 26 2012Jul 1 2012

Publication series

NameProceedings of the 29th International Conference on Machine Learning, ICML 2012
Volume1

Other

Other29th International Conference on Machine Learning, ICML 2012
CountryUnited Kingdom
CityEdinburgh
Period6/26/127/1/12

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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