Movie-Recommendation-Engine

Goal : Speedy Recommendations

Steps followed:

1. Install Eclipse IDE for Java Developers in Centos system.
2. Create a new project in Eclipse
3. Create a Recommend.java file

4. Create all import packages in src folder

5. Source Code for ItemRecommend.java file • The goal is to recommend n items to the user. We will use a similarity measure to cluster the items. The similarity measure will be calculated using the Manhattan distance between different items. The code will also be surrounded by a try and catch block to catch any exceptions that may occur. Here is the code for building the recommender system.

6. Compile and Run code