Music recommendations @ MLConf 2014
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Next directions in Mahout's recommenders
ML+Hadoop at NYC Predictive Analytics
A Unified View of Matrix Factorization
Efficient Top-N Recommendation for Very Large Scale Binary Rated Datasets
Efficient Top-N Recommendation by Linear Regression
GraphChi big graph processing
Julia text mining_inmobi
Netflix Prize Solution: A Matrix Factorization Approach By Atul S. Kulkarni [email protected] Graduate student University of Minnesota Duluth.
Memory vs. Model-based Approaches SVD & MF Based on the Rajaraman and Ullman book and the RS Handbook. See the Adomavicius and Tuzhilin, TKDE 2005 paper.
PhD defense
