The underlying algorithms that make Pinterest successful and fun — the ones that suggest new pins you might like based on things you've liked before, for example — are an example of big data at its finest.
And now, Pinterest is taking big data to another level. The social network has just announced a new visual search feature: a search tool that will allow users to select just a portion of an image, and then look for other similar images within the site.
In collaboration with members of the Berkeley Vision and Learning Center, Pinterest uses deep machine learning to learn image features based on their richly annotated dataset of billions of Pins. Those features are then used to create a similarity score between any two images.