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---
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 |