Design mining the web
Abstract/Contents
- Abstract
- The billions of pages on the Web today provide an opportunity to understand design practice on a 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 more than two billion people every day. However, traditional data mining techniques tend to focus on the content of Web pages, ignoring how that content is presented. What could we learn from mining design? This thesis introduces design mining for the Web, and presents a scalable software platform for Web design mining called Webzeitgeist. 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 dissertation, I 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 illustrates how design mining principles can be applied to benefit content creators and consumers.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Kumar, Ranjitha Sampath | |
|---|---|---|
| Associated with | Stanford University, Department of Computer Science. | |
| Primary advisor | Klemmer, Scott | |
| Thesis advisor | Klemmer, Scott | |
| Thesis advisor | Hanrahan, P. M. (Patrick Matthew) | |
| Thesis advisor | Winograd, Terry | |
| Advisor | Hanrahan, P. M. (Patrick Matthew) | |
| Advisor | Winograd, Terry |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Ranjitha Sampath Kumar. |
|---|---|
| Note | Submitted to the Department of Computer Science. |
| Thesis | Ph.D. Stanford University 2013 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Ranjitha Sampath Kumar
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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