recommendation system

Egyptian Business Hybrid Recommendation System An advanced AI-powered recommendation system designed for the Egyptian business market, combining Collaborative Filtering, Content-Based Filtering, and Economic Context to deliver accurate B2B recommendations. Key Features Smart product and business post recommendations based on user preferences Egyptian market awareness (Ramadan, tourism, inflation, regional trends) Unified search across products and business posts Personalized filtering by industry, price, location, and business size Ready-to-use API for websites and mobile apps GPU acceleration for faster model training Dataset 50,000+ Egyptian businesses 100,000+ business posts 82,000+ user interactions 13 industry categories 6 interaction types (view, like, rate, comment, share, save) Performance Recommendation Accuracy: 80.1% Precision@10: 84.2% Recall@10: 75.6% F1 Score: 79.7% Use Cases Recommend products based on user interests Suggest business partners and opportunities Analyze market trends and pricing behavior Improve user engagement and experience Technologies Used Python PyTorch FastAPI Streamlit CUDA GPU Training Business Value Supports the Buy From Egypt platform by connecting buyers with the right suppliers, increasing trade opportunities locally and globally