PERSONALIZING THE DOORDASH RETAIL STORE PAGE EXPERIENCE

Summary from the TLDR Web Dev newsletter

DoorDash built a personalized shopping experience for its new business vertical stores using machine learning. Its recommendation framework has three main categories of collections: operator-generated, rules-based personalized, and ML-based personalized. The framework includes components like collection generation, collection retrieval, horizontal item ranking, item post-processing, collection ranking, and collection post-processing to offer personalized recommendations effectively.