Music Recommendations at Scale with SparkThe document discusses the development of music recommendation systems at Spotify, primarily focusing on collaborative filtering and matrix factorization techniques. It details methods such as explicit and implicit matrix factorization, as well as the application of Hadoop and Spark for scaling these recommendations. The presentation highlights the evolution of these algorithms and the challenges
Real-time Recommendations using Spark Comcast Labs
