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Initial implementation of TasteEngine: multi-approach recommender system with Flask web UI, evaluation suite, and explanation engine
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| # Project Overview | |
| ## Intelligent E-Commerce Recommendation System | |
| A multi-approach recommender system for an e-commerce platform that generates personalized product recommendations using three different recommendation approaches, with comprehensive evaluation and comparison. | |
| ## Tech Stack | |
| | Component | Technology | | |
| |-----------|-----------| | |
| | Backend | Python + Flask | | |
| | Frontend | HTML / CSS / JS (glassmorphism + minimalist design) | | |
| | Data | Synthetic dataset (NumPy + Pandas) | | |
| | ML/Similarity | Scikit-learn, NumPy, Pandas | | |
| | Visualization | Chart.js (in-browser charts) | | |
| ## Key Requirements | |
| 1. **Three approaches**: Collaborative Filtering, Content-Based, Knowledge-Based | |
| 2. **4+ CF methods**: User-Based, Item-Based, SVD, KNN | |
| 3. **4+ evaluation techniques**: RMSE, MAE, Precision@K, Recall@K, F1, Coverage | |
| 4. **Explainable recommendations**: Human-readable reasons for each suggestion | |
| 5. **Comparison & analysis**: Which method/approach performs best and why | |
| ## System Flow | |
| ``` | |
| User Input β Select Approach β Recommendation Engine β | |
| β Evaluation Module β Comparisons β UI Display | |
| ``` | |
| ## Architecture | |
| ``` | |
| recommender-project/ | |
| βββ app.py # Flask entry point (routes) | |
| βββ requirements.txt # Dependencies | |
| βββ data/ | |
| β βββ generate_data.py # Synthetic dataset generator | |
| β βββ products.csv # Product catalog (500 items) | |
| β βββ users.csv # User profiles (200 users) | |
| β βββ ratings.csv # User-item ratings (5000+) | |
| β βββ interactions.csv # Purchase history | |
| βββ recommender/ | |
| β βββ __init__.py | |
| β βββ collaborative.py # 4+ CF methods | |
| β βββ content_based.py # Content-based methods | |
| β βββ knowledge_based.py # Knowledge-based methods | |
| β βββ evaluation.py # 4+ evaluation techniques | |
| β βββ explainer.py # Explanation generator | |
| βββ utils/ | |
| β βββ similarity.py # Similarity metrics (cosine, pearson, etc.) | |
| β βββ helpers.py # Common utilities | |
| βββ static/ | |
| β βββ css/ | |
| β βββ style.css # Professional UI styles | |
| βββ templates/ | |
| β βββ index.html # Home page | |
| β βββ recommend.html # Recommendation results | |
| β βββ evaluation.html # Evaluation & comparison dashboard | |
| βββ plan/ | |
| βββ 01-overview.md | |
| βββ 02-dataset.md | |
| βββ 03-collaborative-filtering.md | |
| βββ 04-content-based.md | |
| βββ 05-knowledge-based.md | |
| βββ 06-evaluation.md | |
| βββ 07-explanation.md | |
| βββ 08-ui-ux.md | |
| βββ 09-implementation-phases.md | |
| ``` | |