Here are some papers that we'll cover for reduced rank matrix approximation

netflix_aaim08(submitted).pdf

China-ALS_Cich-Zdunek_cor.pdf

takacs09a.pdf

2011_ICML_DekGilShamXia.pdf

hogwildTR.pdf

Berkeley Professor Alex Smola has nice slides and video on this topic. 

http://alex.smola.org/teaching/berkeley2012/recommender.html

Here's some R-code that we'll run to see what the algorithms look like in code.

SVDRatings.R

als.R

Recorded Lecture

Part 1.  https://datamining.webex.com/datamining/ldr.php?AT=pb&SP=MC&rID=116738432&rKey=035942275b0362c7

Part 2.  https://datamining.webex.com/datamining/ldr.php?AT=pb&SP=MC&rID=116738442&rKey=e9cc96fdbfd07bc1