LinkedIn ranks posts by on-topic rate and dwell time, ignoring likes entirely

_jaydeepkarale · x · 2026-11-06

LinkedIn's content search uses a retrieval layer (token-based + embedding-based) followed by multi-stage ranking. Post quality is scored on just two metrics: on-topic rate (relevance to query intent) and long-dwell (time spent on a post). Likes and comments are deliberately excluded because they can easily be farmed via engagement farming.

Related event: Inside LinkedIn's Semantic Search Overhaul: Two-Tower Retrieval and Two-Stage Ranking(6 posts)→

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