Ranking Signals, Multi-Task Model, and Re-ranking
~50 min read
The three categories of ranking signals for social posts, the multi-task prediction model combining them, and the re-ranking adjustments applied before the final feed is returned.
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Key points
- •Three signal categories: network (who posted), content (what was posted), engagement (how others are reacting) — each captures a dimension of post quality the others miss
- •Multi-task ranking scores multiple engagement types (like, reply, share, report) separately, then combines with weights set by policy teams — not just ML metrics
- •Time-decay, author diversity, and deduplication are re-ranking constraints applied after the ranking model — they address quality problems that pure score optimization doesn't