Trying to reverse engineer some ratings
Fixing missing users but doesn't seem to be working properly
Evaluating SVD recommender also
Predict using SVD. Not working yet
Creating a full fledge R submission reproducing popular example
Clarifying that submission is for popular case
Split recommendation and output generation
Evaluating over training set and a bit refactored
Load movies metadata function
Refactoring recommendation function to allow extending to popular by genre more easily
Refactoring to clean up paths and function names
Refactoring output generation among other things
Function refactoring
Refactor output generation
Generating popular recommendation considering genre. Not improving
Small improvement over popular by genre using good ratings as 3 for user votes