Evaluating Popular versus Association Rules recommender
Gender popularity analysis
Proper working version before modifying recommender-lab
Using mean average precision for evaluation
Data update. No clear reason for this
Submitting with Association rules and popular as backup.
Updating data to match current files
Small code refactoring and evaluating over all training set
Merge branch 'map-evaluate'
Regenerated dataset for the new competition
Ignore old data submissions file folder
Original binary association rules recommender from recommender lab
Making clear the scripts modify both recommender lab and metrics.
Association rules recommender for real rating matrix by binarizing
Using real ratings ar rules to do equivalent submission
Merge branch 'real_ar'