A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani

Movie recommendation system can provide the entertainment needed by our social life due to the high accuracy of the recommended movie. The system can make a suggestions to all the user based on their movie preference. Every people will have their own preference when they want to go watching movie in the cinema or online streaming platform such as Netflix. Amazon Prime or Youtube. The existense of movie recommendation system will make the movie selection become easier and accurate to the user. In this paper, the proposed movie recommendation system by using Cosine Similarity measure will has the ability to give the user their own recommended movie. It calculate the content in the movie and calculate its similarity by the words appear in the movie information. It generates the recommended movie for the movie lovers and make it convenient for them to make a selection on the movie. The accuracy of the recommended movie also have been discuss in details in this project.