🍫 Chocolate Shop Smart Recommender

A high-performance recommendation sandbox supporting model comparison and context-aware two-stage pipeline simulation.

πŸ› οΈ Project Engineering & Methodology Showcase πŸ‡¨πŸ‡³ δΈ­ζ–‡η‰ˆ

πŸ§ͺ Experimental Benchmark Sandbox & Developer Challenge

This project serves as an experimental sandbox for recommendation algorithm exploration. We strongly encourage developers and researchers to examine our technical methodology, download this challenging benchmark dataset (1M sales logs with 90.1% matrix sparsity and extreme class imbalance), and engineer innovative features or models to see if you can achieve higher recommendation hit rates!

Explore Technical Docs
Download Benchmark Data (4 Tables)
sales.csv (1M) products.csv customers.csv stores.csv

βš™οΈ Control Panel

πŸ‘€ Customer Profile

Customer ID: -
Age: -
Gender: -
Membership: -

πŸ† Top-5 Recommended Chocolates

Architecture/Model: -
Store/Channel: -
Inference Latency: - ms

πŸ’‘ Recommendation Model Encyclopedia (Model Guide)

Model Guide

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🟒 Pros:-
πŸ”΄ Cons:-