Recommender System
------------------
		
	This recommender system finds similar users by calculating cosine of the angle between the users.
	Then it recommends top 3(at most) movies with ratings he may give for those movies for the user entered. 
		
Data Set
--------
	Here MovieLens 1K data set is taken.
	* a.data is of the format  ==    user_id  movie_id  rating_by _user  time_stamp
		user_id ranges from 1 to 943, movie_id ranges from 1 to 1682.
	* u.item is collection of movie names arranged according to movie_id.
	
Run
---
	$ scala movie
	
	Enter user id
		**Enter any number between 1 and 943