Vector Search for Content-Based Video Recommendation - Gladys and Samuel from Dailymotion - Qdrant

This post details Dailymotion's implementation of Qdrant for content-based video recommendations. It covers their approach to generating video embeddings from metadata, audio, and transcripts, and how these embeddings are used with Qdrant to address the cold-start problem for new and niche videos. The post highlights the use of a streaming pipeline for real-time updates and the positive impact on click-through rates for low-signal content.