This document summarizes Mark Levy's presentation on using Hadoop for algorithms on user data at Last.fm. It describes how Last.fm uses Hadoop to compute music charts from over 1 billion user scrobbles per month and calculate royalties. It also discusses using Hadoop for topic modeling of user profiles and documents through LDA, graph recommendations through label propagation on the user-item graph, and processing audio files to extract metadata through a map-reduce approach.