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