Saliency prediction: A model that predicts eye fixations in an image.To train their model, Twitter asserts they used a combination of techniques on user images: Twitter claims to have overcome these obstacles by implementing deep learning in neural networks and machine learning algorithms. For example, the prior solution would miss faces or mistakenly detect faces when none were present. The blog also claims Twitter’s machine learning engineers encountered shortcomings with its previous face detector. In short, social media companies like Twitter need to deliver on user experience to earn money and scale their business. To understand the business problem at hand and its impact, we must grasp how Twitter makes money and the effect of UI on revenue.įirst, the bulk of Twitter’s revenue comes from advertising: According to Twitter’s 2021 annual report, over $4.5 billion of the company’s $5.1 billion revenue is from “advertising services.” Per Google’s own “ Advertising Revenue Playbook ,” user experience “maximizes” advertising revenue. The various dimensions of images make it challenging to deliver a consistent user interface (UI) experience. Use Case #1: Image CroppingĪccording to Twitter’s engineering blog, the company cites millions of image uploads to its platform daily. We’ll begin by examining how Twitter uses AI to help with detecting bots.
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