VK Video AI Character Recognition Boosts Watch Time 9% via Cascade Face Detection
VK AI
VK published results from its AI character recognition system in VK Video recommendations (May 5). Two ML models run in cascade: the first scans at one frame per second to detect faces, the second identifies popular personalities among those detected. Recognized characters feed into VK Video's recommendation engine, surfacing content featuring users' preferred personalities. Since deployment, average watch time for 'Watch Next' videos with recurring characters increased by 9%.
Why it matters
Character-level video understanding is a meaningful step beyond topic-based recommendations; VK's disclosure of both the architecture and a measured 9% watch-time lift provides a concrete benchmark for applied ML in Russian-language video platforms.
Importance: 2/5
Quantified production deployment result from a major Russian social platform with published architecture detail