Recommendation Engine demo ¼Ò°³
	This demo shows the CBR(Case Based Reasoning) recommendation for a customer. Dataset : The EachMovie dataset consists of some 72916 users entered a total of 2811983 numeric               ratings for 1628 different movies (films and videos) on 18months.               this dataset consists of 100 users ratings data for 100 different movies of eachmovie dataset. How to use 1. Write UserID 2. Select or input user's information 3. Press the 'Recommend!' button. The result 1. The recommended movies list UserID       (a number of above 200) Age       old Gender      Male Female Occupation       administrator artist doctor educator engineer entertainment executive healthcare homemaker lawyer librarian marketing none other programmer retired salesman scientist student technician writer Zip code       (a number of five ciphers)