This Flask application provides an API for recommending movies and TV shows based on collaborative filtering (CF) and content-based (CB) approaches. It also fetches movie and TV show posters from an external API.
/topm: Returns a list of top movies with their posters./toptv: Returns a list of top TV shows with their posters./recommend_cf/<name>: Recommends similar content using collaborative filtering based on the input movie or TV show name./recommend_cb/<name>: Recommends similar content using content-based filtering based on the input movie or TV show name./recommend/<name>: Recommends content using a hybrid approach combining CF and CB./genre/<name>: Returns top content based on a specific genre./mvgenre/<name>: Returns top movies based on a specific genre./tvgenre/<name>: Returns top TV shows based on a specific genre./details/<id>: Returns details of a specific movie or TV show./getContents/<cont_list>: Returns details of multiple movies or TV shows based on their names.
similar_match(movie_name): Finds a similar movie name using SequenceMatcher.fetch_mvposter(movie_id): Fetches the poster URL for a given movie ID.fetch_tvposter(tv_id): Fetches the poster URL for a given TV show ID.cb_recommend(name, n): Recommends content using content-based filtering.cf_recommend(movie_name, n): Recommends content using collaborative filtering.hf_recommend(name): Recommends content using a hybrid CF and CB approach.getMVTrailer(id): Fetches the trailer URL for a given movie ID.getTVTrailer(id): Fetches the trailer URL for a given TV show ID.
The repository for this application does not contains pickle files, as the files exceeds the Git Large File Storage (LFS) limit.