Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Grace Huang

Grace Huang
Data Science Lead, Pinterest

Website

Grace Huang is the data science lead for discovery at Pinterest, where discovery products like recommendations and personalization are developed. She is passionate about building data science products around machine-learning algorithms to drive better experience for Pinterest users and build a sustainable ecosystem.

Sessions

1:50pm2:30pm Thursday, March 16, 2017
Secondary topics:  Media, Text
Grace Huang (Pinterest)
Average rating: ***..
(3.33, 3 ratings)
With over 75 billion pins, the Pinterest content corpus is one of the largest human-curated collection of ideas. Grace Huang walks you through the lifecycle of a piece of content in Pinterest, a portfolio of metrics developed to monitor the health of the content corpus, and the story of creating a cross-functional initiative to preserve a healthy, sustainable content ecosystem. Read more.