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TasteEngine

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Backend: Python, Flask, NumPy, Pandas, scikit-learn
Frontend: Alpine.js, HTMX, Chart.js, Lucide icons
Deployment: Docker on Hugging Face Spaces

TasteEngine / README.md

Production readiness: port 7860, Dockerfile, HF Spaces config

f9ade9b 19 days ago

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title: TasteEngine
emoji: 🎯
colorFrom: indigo
colorTo: pink
sdk: docker
app_port: 7860
pinned: false
license: mit

TasteEngine — Multi-Approach Recommender System

An interactive recommender system comparing Collaborative Filtering, Content-Based, and Knowledge-Based approaches side by side.

5 Collaborative Filtering methods: User-Based, Item-Based, SVD, KNN, Slope One
2 Content-Based methods: TF-IDF Similarity, Feature Matching
3 Knowledge-Based methods: Constraint, Rule, Utility
Evaluation Dashboard: Compare all methods across 6 metrics (RMSE, MAE, Precision@k, Recall@k, F1@k, Coverage)
Interactive UI: Built with Alpine.js, HTMX, and Chart.js
Incremental Evaluation: Results appear as each method finishes
Dark/Light Mode: Toggleable theme