---
license: mit
language:
- en
tags:
- recommendation-system
- collaborative-filtering
- movie-recomendation
---
# Movie Recommendations Model

This model provides movie recommendations based on collaborative filtering (SVD).

## Model Description

This model is based on **Singular Value Decomposition (SVD)**, a matrix factorization technique commonly used for building recommendation systems. It predicts the preferences of users for movies based on historical ratings data.

## How to Use

To use this model, you can load it and make predictions using the following Python code:

```python
import pickle

# Load the model
with open("svd_model.pkl", "rb") as f:
    model = pickle.load(f)

# Get movie recommendations for a specific user
user_id = 123
recommendations = model.get_recommendations(user_id)

print("Recommended movies:", recommendations)