🎯 Dual Discovery: Products & Categories
💡 Understanding Graph-Based Discovery
Our GNN model enables two powerful discovery modes: Product-to-Product finds similar items (substitutes/complements), while Product-to-Category suggests related themes and shopping areas customers might not have considered. Together, they provide both immediate options and exploratory pathways.
📦 Product-to-Product
Purpose: Find similar products based on shared context (occasions, themes, seasons).
Use Case: "Customers who viewed this also liked..."
Benefit: Helps customers find alternatives, complements, or next purchases.
🗂️ Product-to-Category
Purpose: Discover related categories through structural connections.
Use Case: "Explore related themes..."
Benefit: Opens new shopping paths; discovers connections traditional algorithms miss.
Example Recommendations
Löbro 41-305123 Suojakumisarja
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🎯 Key Insights
Product recommendations help customers find immediate alternatives and complements. Category recommendations enable discovery of new shopping themes they might not have considered, driving exploration and cross-category sales. Both modes work together to provide comprehensive customer guidance.