Recommendation Engine demo ¼Ò°³    

This demo shows the CF(Collaborative Filtering) recommendation for a given customer.

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. Type in a user ID.
(Sample ID : nacy, pa13, xzlr, kkk210, hanssp)
2. Press the 'Recommend!' button.

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

1 ¢º User ID :