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metadata 
title: Instacart Recommendation System
emoji: 🛒
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false

🛒 Instacart Recommendation System

A hybrid recommendation system combining three powerful approaches:

  • Item-Item Collaborative Filtering: Find similar products based on purchase patterns
  • ALS Matrix Factorization: Personalized recommendations using latent factors
  • LightGBM LambdaRank: Learning-to-rank with 30+ engineered features

Features

✨ Real-time recommendations across 49K+ products 🎯 Purchase history integration 🛍️ Interactive shopping cart 📊 Model insights and explanations

Demo Users

Try these user IDs: 1, 2, 3, 5, 8, 10, 12, 15, 20, 25

Tech Stack

  • Frontend: Streamlit
  • Models: LightGBM, Implicit (ALS), Custom CF
  • Data: Instacart Market Basket Analysis dataset

Built with ❤️ using Streamlit