Abstract: Because people label and save Pins to specific boards, they all add context to Pins every time they Pin, which helps Pinterest identify taste and the overlapping interests between people.
The future of visual discovery and personalization. The work that goes into predicting what someone will love next (from style to beauty to traveling to Hawaii to chicken recipes), and powering a recommendations engine that surfaces billions of ideas to hundreds of millions of people.
A deep dive into recent advancements in computer vision and their applications in commerce including Lens camera search, automated Shop the Look, Complete the Look and the evolution of visual embeddings.
Bio: Chuck Rosenberg is Head of Computer Vision at Pinterest where he leads the visual search team responsible for breakthroughs in computer vision and launching some of the first visual search products in the market including Lens camera search and the ability to visually search specific items in a Pin, or anywhere online. With a continued investment in AI and computer vision, Pinterest is a global platform working at a large scale, where images are central and computer vision is used across the product to not only identify objects, but predict what a person will want next, and inform recommendations in areas like commerce.
Prior to Pinterest, Chuck worked at Google for nearly 14 years where he was a Principal Engineer and Computer Vision Research Lead. At Google, he led the Image Understanding Group as well as the Image Search and Photo Search engineering teams. His projects included the company's first large-scale image deep network deployment, search by image, and computer vision-based result ranking.
Previously, he worked at HP Labs and was one of the original members of iRobot. Chuck earned his P.h.D in Computer Science from Carnegie Mellon, with a focus on computer vision and machine learning.