This repository contains serialized model artifacts used by the Movie Recommendation System project.
The recommendation engine is a Content-Based Recommendation System built using Natural Language Processing techniques.
Top-N similar movies ranked by similarity score.
Processed movie metadata used by the recommendation engine.
Precomputed cosine similarity matrix used for fast recommendation retrieval.
1import pickle
2
3movies = pickle.load(open("models/movies.pkl", "rb"))
4similarity = pickle.load(open("models/similarity.pkl", "rb"))
Current version uses movie overview text as the primary feature source.
