Paper Info
Title
Eigennews: Generating and delivering personalized news video.
Abstract
Next-generation news video consumption will be more personalized, device agnostic, and pooled from many different sources. The EigenNews system provides each viewer with a personalized newscast filled with stories that matter most to them. While personalized text-based news services already exist, personalized video news streams are still a critically missing technology. Our system records multiple channels, segments each news stream into individual stories, discovers links between the stories themselves and links between the stories and online articles, and generates a personalized playlist for each user. The dynamic mixing and aggregation of broadcast news videos from multiple sources greatly enriches the news watching experience by providing more comprehensive coverage and varying perspectives. Over time, the website collects click and view histories and uses this information to continuously optimize the personalization.
Year
DOI
Venue
2013
10.1109/ICMEW.2013.6618439
ICME Workshops
Keywords
Field
DocType
Web sites,broadcasting,interactive video,video signal processing,video streaming,EigenNews system,Eigennews,Web site,broadcast news videos,dynamic mixing,multiple channels,news watching experience,next-generation news video consumption,online articles,personalized news video,personalized newscast,personalized playlist,personalized text-based news services,personalized video news streams,interactive videos,news aggregation,personalization,story linking,story segmentation
Interactive video,Broadcasting,World Wide Web,News aggregator,Computer science,Visualization,Video streaming,Multimedia,Web site,Personalization
Conference
ISSN
Citations 
PageRank 
2330-7927
6
0.67
References 
Authors
14
8
Name
Order
Citations
PageRank
Maryam Daneshi1101.38
Peter Vajda2131.80
David M. Chen394742.62
Sam S. Tsai472436.51
Matt C. Yu5898.62
Andre F. de Araújo6536.83
Huizhong Chen725311.32
Bernd Girod889881062.96