Brandi Klingerman | December 12, 2016
How each and every person consumes digital content is different, but University of Notre Dame researchers are working to better understand and model this process. The Interdisciplinary Center for Network Science and Applications (iCeNSA) at Notre Dame is partnering with Condé Nast – a media company known for producing high-quality content for the world’s most influential audiences – to advance deep learning research on content consumption.
Deep learning systems can learn to recognize patterns implicit in the digital footprints of content, whether in text, images or audio, and begin to model the pathways of audience engagement. Together, iCeNSA and Condé Nast will collaborate on research to develop these systems, which focus on how audiences find and utilize a variety of digital content.
“Our goal is to advance deep learning to better understand how audiences are consuming and engaging with varied content, develop predictive models for content personalization, and potentially impact how Condé Nast’s content is developed,” said Nitesh Chawla, director of iCeNSA and Frank M. Freimann Professor of Computer Science and Engineering. “This partnership is set to explore how consumers are interacting with everything from feature stories to videos and podcasts.”