We’re sharing how Meta is applying machine learning (ML) and diversity algorithms to improve notification quality and user experience. We’ve introduced a diversity-aware notification ranking framework to reduce uniformity and deliver a more varied and engaging mix of notifications. This new framework reduces the volume of notifications and drives higher engagement rates through more diverse [...] Read More... The post A New Ranking Framework for Better Notification Quality on Instagram ...| Engineering at Meta
We’re exploring Meta’s Federation Platform, a scalable set of tools for managing compliance-related tasks, along with Privacy Waves, our method for batching these tasks and ensuring accountability. Together, the Federation Platform and Privacy Waves create a structured, effective, and sustainable approach to operationalizing privacy work, enabling Meta to safeguard user data for the billions of [...] Read More... The post Federation Platform and Privacy Waves: How Meta distributes compl...| Engineering at Meta
The state of the research Diff Risk Score (DRS) is an AI-powered technology built at Meta that predicts the likelihood of a code change causing a production incident, also known as a SEV. Built on a fine-tuned Llama LLM, DRS evaluates code changes and metadata to produce a risk score and highlight potentially risky code [...] Read More... The post Diff Risk Score: AI-driven risk-aware software development appeared first on Engineering at Meta.| Engineering at Meta
What if you could control any device using only subtle hand movements? New research from Meta’s Reality Labs is pointing even more firmly toward wrist-worn devices using surface electromyography (s…| Engineering at Meta
Andromeda is Meta’s proprietary machine learning (ML) system design for retrieval in ad recommendation focused on delivering a step-function improvement in value to our advertisers and people. Thi…| Engineering at Meta