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Friday, April 24 • 3:20pm - 3:40pm
Knowledge Maps for Content Discovery

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Content discoverability and composition is a moving target in education, especially matching content complexity and media diversity to the needs of different students. In this talk I will describe our methods of performing large scale categorization of online courses using a crowd-sourced taxonomy. Our methodology is agnostic to the media of content, whether it is text, images, or video and uses Wikipedia as a taxonomy for semi-labeled categorization of content. I will also demo a visualization of Versals’ Knowledge Map, a "Google-Maps" for content exploration.


Oren Schaedel

Oren is a data scientist at Versal where he leads internal analytics, data engineering, and data-driven research projects. He received a PhD from Caltech focusing on statistical methods for understanding gene regulation of decision making in animals. He consults on integrating statistical modeling and machine learning techniques into commercial products, turning hidden data into business insights.

Friday April 24, 2015 3:20pm - 3:40pm

Attendees (17)