At DoorDash, delivering relevant and high-quality search results is essential to ensure that customers find what they’re looking for quickly and effortlessly.
Category Archives: NLP
How DoorDash leverages LLMs for better search retrieval
At DoorDash, users commonly conduct searches using precise queries that compound multiple requirements.
Unleashing the power of large language models at DoorDash for a seamless shopping adventure
Photo: Courtesy of The AI Conference
Imagine a bustling marketplace where consumers seamlessly connect with local merchants to get everything from groceries to gifts delivered to their doorsteps.
Path to high-quality LLM-based Dasher support automation
The independent contractors who do deliveries through DoorDash – “Dashers” – pick up orders from merchants and deliver them to customers.
Building DoorDash’s product knowledge graph with large language models
DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store.
Augmenting Fuzzy Matching with Human Review to Maximize Precision and Recall
Even state-of-the-art classifiers cannot achieve 100% precision.
Things Not Strings: Understanding Search Intent with Better Recall
For every growing company using an out-of-the-box search solution there comes a point when the corpus and query volume get so big that developing a system to understand user search intent is needed to consistently show relevant results.
We ran into a similar problem at DoorDash where, after we set up a basic “out-of-the-box” search engine, the team focused largely on reliability.
Uncovering Online Delivery Menu Best Practices with Machine Learning
Photo Credit: Jeff Marini
Restaurants on busy thoroughfares can use many elements to catch a customer’s eye, but online ordering experiences mostly rely on the menu to generate sales.
Personalized Store Feed with Vector Embeddings
Customers come to DoorDash to discover and order from a vast selection of their favorite stores, so it is important to be able to surface what is most relevant to them.