An Embedding-Based Grocery Search Model at Instacart

Understand

The key to e-commerce search is how to best utilize the large yet noisy log data.

• In this paper, we present our embedding-based model for grocery search at Instacart.
• The system learns query and product representations with a two-tower transformer-based encoder architecture.
• To tackle the cold-start problem, we focus on content-based features.