Recommendation Engine demo ¼Ò°³    

This demo shows the CF(Collaborative Filtering) recommendation for a customer who bought one item.
Dataset : The dataset consists of purchase information of 30,000 customers on 7,000 items collected
              from a shopping mall site.

How to use
1. Select an item you like !
2. Press the 'Recommend!' button.

The result
1. The computing time for the recommendation
2. The recommended items list

2 ¢º Select Items to recommnd :
Item1 Item2 Item3 Item4 Item5 Item6 Item7 Item8 Item9 Item10