#推薦システム
Inside X's Open-Source Algorithm: Phoenix RecSys, Author Cold Start, and Mutual Follow Mechanics
A major open-source update to the X algorithm repository reveals the inner workings of the next-generation 'Phoenix (xrex)' neural recommendation framework, Rust-based Home Mixer enhancements for author cold-start scoring and mutual-follow metrics, and low-latency visibility filtering subsystems.
Open-Sourcing X's Recommendation Algorithm: Phoenix RecSys Engine & Visibility Filtering Breakdown
xAI has open-sourced the latest codebase for the X recommendation algorithm. This release details the Rust-based 'Phoenix' RecSys engine, the Home Mixer pipeline, and the comprehensive visibility filtering rules governing content moderation.
Open-Sourcing the X Recommendation Algorithm: A Technical Deep Dive into the Phoenix Artifacts Release
X (formerly Twitter) has released the open-source version of its core recommendation engine, "Phoenix". This commit introduces a critical zip archive (`oss-phoenix-artifacts.zip`) containing the key artifacts, models, and configurations driving the recommendation pipeline. This release marks a major step toward algorithmic transparency, allowing developers to analyze how content is selected and ranked for users' feeds.