A movie recommendation engine is a system that analyzes a set of movies and then recommends similar movies to the user. This process is usually based on the user's ratings of certain movies, as well as the ratings of other users.
To build movie recommendation engine is no easy task. However, there are a few methods that can be used to create a recommending system. The most popular method is called collaborative filtering, which uses the ratings of other users to recommend movies to the user.
There are a few steps that need to be followed in order to build a movie recommendation engine. First, the data needs to be gathered. This data can be gathered from sites like IMDB or rotten tomatoes. Once the data is gathered, it needs to be cleaned and processed. After the data is processed, a model can be created and trained.