AI Research and Development
Adapting the Facebook Reels RecSys AI Model Based on User Feedback

Adapting the Facebook Reels RecSys AI Model Based on User Feedback

1/14/2026 · Senthil Rajagopalan, Drew Hogg, Mengxi Lv, Grace Yang, Jieli Shen, Thomas Grubb, Shashank Bassi, Jason Song, Hareesh Nagarajan, Aya Avishai, Zellux Wang, Min Li

What this post added

Introduced the User True Interest Survey (UTIS) model for Facebook Reels, which directly incorporates user feedback from surveys to improve personalized video recommendations. This model moves beyond traditional engagement signals (likes, watch time) to capture 'true interests', addressing challenges like sparse user data and bias. The UTIS model was integrated into both late-stage and early-stage ranking systems, demonstrating significant offline improvements in accuracy, precision, and recall, and online improvements in user engagement and retention metrics.

Read the original post ↗