Published October 21, 2016, in Technology
Presentation for the second sprint of the Product Studio class at Cornell Tech.
Fall 2016
Cornell Tech
Product Studio
The New York Times (Community)
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9. Validation Results
90%
80%
100%
“ The second had a lot more
context, so you knew what the
comments were on. ”
more likely to read the comments
more likely to comment
more likely to do one or the other
12. Commenters
IBM Watson
Alchemy API
Prompt user to comment
with targeting questions
Automatically extract
key attributes from
article and generate
question stems
Self identify
user attributes
System Architecture
Commenting
Platform
Content
Management
System
Editor
Database of
User Attributes
Ad Targeting
Automated Social
Media Publishing
Better Article
Recommendations