---
language: en
license: mit
tags:
- recommendation-system
- collaborative-filtering
- matrix-factorization
- movielens
- svd
- internship-task
datasets:
- movielens
model-index:
- name: DataSynthis_ML_JobTask
  results:
  - task:
      type: recommendation
      name: Movie Recommendation
    dataset:
      name: MovieLens
      type: movielens
    metrics:
      - type: precision@k
        value: 0.7460454747522295
      - type: recall@k
        value: 0.5147626084794534
---

# 🎬 Movie Recommendation System (DataSynthis ML Job Task)

This model was built using the MovieLens dataset for the **ML Engineer Intern task**.

### Features
Item-based Collaborative Filtering
Matrix Factorization (SVD)
Evaluation Metrics: Precision = 0.7460454747522295, Recall = 0.5147626084794534

### How to Use
```python
from joblib import load
model = load("model.joblib")
# Use recommend_movies(user_id, N) function