In this segment from – Jim Lucchese, CEO of The Echo Nest, explains how his companys software offerings help online music providers hone their recommendation systems to help customers find music they will love. He also explains how recommendation engines in general work, from Pandoras expert-knowledge approach (their Music Genome project) to Amazons and Apples collaborative filtering approach, to his own companys algorithmic and aggregated knowledge approach to the same problem. He also discusses the future of recommendation software, and how Echo Nest is working to empower listeners to remix, overdub, and edit online music as they listen to it based on the output of their recommendation engine.