https://intelligent-aluminum-poison.glitch.me/
Rest API: https://intelligent-aluminum-poison.glitch.me/api/?param={"movie_id":[tmdb_id1,tmdb_id2,...]}
Example https://intelligent-aluminum-poison.glitch.me/api/?param={"movie_id":[69757,69516]}
-
It is based on my previous project IMDb-Recommender https://github.com/nishan7/IMDb-Recommender.
-
It is the python/flask website used to recommend movies based on other movie your like.
-
Created REST API to get the recommended movies using TMDb IDs
-
It is based on the movieLens dataset. https://grouplens.org/datasets/movielens/
-
It uses cosine similarity between movies to find similarity between the movies.
-
Then based on user's personal movies choice and cosine similarity of those movies, it generates the recommendations.
-
Python flask is used to create the interface.
-
TMDb Database is used to obtain the poster images.
- Recommends movie on the basis of user's liking of other similar movies
- Recommended movies have link to google/imdb