AI-Driven Search and Product Recommendations

In online retail, a basic keyword search is no longer enough to keep customers engaged. If your search bar fails to understand user intent, you are losing valuable revenue to poor product discovery. This text-only course guides you through the foundational concepts of AI-driven search and recommendation systems. You will learn how to transition from rigid keyword matching to intelligent semantic search, helping users find exactly what they want even with typos or vague queries. What you'll learn: - Understand the fundamentals of semantic search and how AI interprets user intent - Build and refine search dictionaries to handle synonyms, typos, and natural language - Apply vector search and embedding principles to connect relevant products to customer queries - Design recommendation strategies that drive cross-selling and upselling opportunities - Evaluate search performance metrics to continuously optimize the discovery experience You will start with core terminology and the basics of search indexing, then progress to modern AI-driven techniques, including vector databases and personalization strategies. This course is designed for beginners, product managers, and developers looking to understand the mechanics of modern search without needing prior machine learning expertise. Start reading today to transform your platform's discovery experience.