GitHub repository: mohitkumhar/movie-recommandation-system
Primary language: Jupyter Notebook
Created: 2025-02-27T18:06:59Z
Description: A Movie Recommendation System using cosine similarity is a content-based filtering approach that suggests movies based on user preferences. It calculates the similarity between movies by comparing their feature vectors (such as genres, plot descriptions, or user ratings) using the cosine similarity metric.