The team used GPU-accelerated deep learning to teach their system how to recognize image features using a richly annotated dataset of billions of Pins curated by Pinterest users. The features can then be used to compute a similarity score between any two images and identify the best matches. Fo...
That’s a pretty big similarity, but aside from the priority on gorgeous pictures and the fact that both can help grow your business, the two platforms have very little in common. The users on both sites even prefer starkly different types of images, both in terms of subject and visual a...
Although the similarity of Story Pins with other Story formats is undeniable, it comes with some differences you should consider. Pinterest Stories Pins are focused on sharing ideas with clickable content, unlike other platforms, Stories are mostly self-focused content from someone’s life or office...
Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar o
“By specifying a part of the image you’re interested in by using a cropping tool, we can recommend visually similar results in real time. We optimize on visual similarity, not just duplicates, to power Pinners to discover exact results, as well as unexpected results that may be similar ...
by way of illustration and not limitation, the token, term frequencies of the token, document location information, the TF-IDF score of the token, the similarity score of the token (as compared to the document embedding vector), the embedding vector of the token, and the like. The input ...
What happens when you add machine learning to a database of 100 billion image-rich objects and ideas? Pinterest is already scratching the surface of a potential answer to that question with its AI-powered tools, includingvisual searchand PinterestLens, but now it wants to dig deeper. ...