MOVIE RECOMMENDATION SYSTEM BASED ON USERS’ SIMILARITY?

The growth of e-Commerce has given the birth to recommendation engine. There are many recommendation engines existing in the market to recommend different stuffs to the users. These recommendations are based on different aspects such as interest of users, history of users, location of users and many more. In all the above aspects, one thing is common and that is individuality. The engine recommends users on the basis of users’ perspective; but there are things in market which are worth concerned and that a user is unaware of. These things must also recommended to the users by the engine; but due to the limitation of ”individuality”, these engines do not recommend things that are out of the box. The hybrid movie recommendation engine has overcome this limitation of individuality. The engine will recommend movies to the users as per their interest as well as it will recommend movies rated by other users who are similar to the user. In addition to that, there are web services which will act as an adornment to the application.