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RSS FeedsFacebook explains how its AI helps Instagram users discover new images
(Digital Photography Review)

 
 

26 november 2019 00:55:06

 
Facebook explains how its AI helps Instagram users discover new images
(Digital Photography Review)
 


In a new technical post on its Artificial Intelligence blog, Facebook details the technology that determines which images Instagram users see in the platform`s Explore tab. According to the company, it had to develop `novel engineering solutions` in order to select a relatively minuscule number of recommended images, videos, and Stories out of the billions of options each time the Explore tab is opened. Instagram`s Explore tab is found by tapping the magnifying glass icon within the service`s mobile app. The content presented within this tab is a small selection chosen from the billions of images and videos uploaded by users. Instagram uses machine learning (ML) to determine which content is most relevant to the user, helping them discover the types of images and videos they`re most likely to care about. Facebook explains in its new post that Instagram`s Explore tab is powered by a three-part `ranking funnel` system that is capable of making 90 million model predictions in a single second. Engineers developed multiple systems to ensure that Instagram`s Explore recommendations are `both high quality and fresh,` among other things. Facebook explains: After creating the key building blocks necessary to experiment easily, identify people´s interests effectively, and produce efficient and relevant predictions, we had to combine these systems together in production. The overall recommendation system first engages in what Facebook calls Candidate Generation, which determines the accounts (`seed accounts`) an Instagram user may be interested in based on the accounts they already follow. Using these seed accounts, the AI then uses embedding techniques to find other accounts similar to the first batch it found. Using this entire batch of accounts, Instagram`s system then determines which images and videos those users engaged with (likes, shares, etc.), as well as the content they posted. Thousands of candidate posts are iden ...


 
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