Curated Choices Using Art and Science of Recommendations

It is the month of October, and in Bengaluru, India, most schools have completed mid-term examinations. Leks has two kids, and they are looking forward to a short vacation nearby. After online research and discussions, they converged on Pondicherry (southern part of India and not very far from Bangalore or Chennai) for the trip. Recommendations are at the heart of every modern e-commerce platform, from travel booking sites to fashion marketplaces. In this chapter, the author delves into the evolution of recommendation algorithms, tracing their journey from basic methodologies to advanced artificial intelligence-driven systems. Along the way, conceptual nuances are explored, offering readers a clear understanding of how these algorithms work and why they matter. The narrative highlights how advancements in AI have transformed recommendation systems, presenting a vivid progression of algorithms and the significant improvements they bring to customer engagement. With practical use cases from e-commerce, the chapter provides valuable insights and examples, equipping readers with ideas to design and deploy recommendation systems across diverse scenarios. This chapter not only showcases the magic of delivering personalized customer experiences but also demonstrates how effective recommendations drive substantial business impact, making them indispensable for any e-commerce platform.