Vector Search for Content-Based Video Recommendation

Learn how to implement vector search for content-based video recommendations in this 38-minute technical talk featuring Dailymotion's Machine Learning Engineers Gladys Roch and Samuel Leonardo Gracio. Discover why Dailymotion chose Qdrant for their recommender system, exploring practical implementation details of vector search and specific use-cases for video recommendations. Gain insights into Qdrant's key advantages, including its ease of installation, low latency capabilities, and efficient pre-filtering features for content-based recommendations. Master the computation of Approximate K-NN for high-scale platforms with strict latency constraints, drawing from the expertise of two French machine learning engineers specializing in recommender systems and video classification at Dailymotion.