Live Website

https://recsys-app.herokuapp.com/

Rest API: https://recsys-app.herokuapp.com/api/?param={"movie_id":[tmdb_id1,tmdb_id2,...]}

Example https://recsys-app.herokuapp.com/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.

Features

• Recommends movie on the basis of user's liking of other similar movies
• Recommended movies have link to google/imdb