The document discusses building a music recommendation system using Apache Spark and Mlib. It will use collaborative filtering on a Last.fm dataset containing user play histories to recommend similar songs. Collaborative filtering finds common interests between users to suggest content. Mlib and its Alternating Least Squares algorithm are well-suited for the large-scale collaborative filtering needed for a real-world music recommendation engine.