Paper Title
An Implementation of Movie Recommender System Using Content-Based Filtering

"Data is new oil" is the term used to express the importance of data usage. There are various kinds of data usage, and one of them is to make a recommendation system. The recommendation system, such as e-commerce, music, books, places, and movie, becomes more and more important in the industrial world because the recommendation system helps users to find things that might interest them. This paper aims to provide an explanation of how a movie recommender system works with content-based filtering methods and describe the implementation of the movie recommender system. Keywords - Data Usage, Movie, Film Attribute, Recommender, Recommendation System, Content-Based Filtering.