🎬 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
from joblib import load
model = load("model.joblib")
# Use recommend_movies(user_id, N) function
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Evaluation results
- precision@k on MovieLensself-reported0.746
- recall@k on MovieLensself-reported0.515