[Seminar] Algorithms on Hadoop at Last.fm: solving problems at scale

Mark Levy of Last.fm describes how a web company uses map-reduce to solve various real world problems on large datasets. Areas covered include Topic Modelling, Graph-based Recommendation, MinHash Indexing and Locality Senstive Hashing for efficient nearest neighbour search, and a framework to do Audio Analysis on millions of recordings.