CubeThat: news article recommender

Authors:
Sidharth Chhabra;Paul Resnick
Affiliations:
University of Michigan, Ann Arbor, USA;University of Michigan, Ann Arbor, USA
Venue:
Proceedings of the sixth ACM conference on Recommender systems
Year:
2012

Citing 4
Cited 0

Republic.com

Republic.com
Constrained Clustering: Advances in Algorithms, Theory, and Applications

Constrained Clustering: Advances in Algorithms, Theory, and Applications
NewsCube: delivering multiple aspects of news to mitigate media bias

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Filter Bubble: What the Internet Is Hiding from You

The Filter Bubble: What the Internet Is Hiding from You

Quantified Score

Hi-index	0.00

Visualization

Abstract

The CubeThat browser extension for Chrome displays recommended additional news stories related to the same topic as the current news story. The recommended stories are organized into clusters, and clusters that the user has already sampled from are grayed out, in order to encourage users to explore multiple aspects of a story. Users can also provide feedback to improve the clustering, by dragging stories from one cluster to another.