A content-based recommendation system recommends items to users based on the similarity of their attributes to the items the user has liked in the past. For a movie recommendation system, this means analyzing the content of movies the user has enjoyed, such as the genre, actors, directors, and plot, and recommending movies with similar attributes.
A content-based movie recommender system using cosine similarity
- you need Pycharm to the application and jupyter notebook to train the dataset
- We have used multiple Python lib
- API from https://developer.themoviedb.org/reference/intro/getting-started
Snapshot :
