MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan

Understand

Recommendation is crucial for both user experience and company revenue in Meituan as a leading lifestyle company, and generative recommendation models (GRMs) are shown to produce quality recommendations recently.

• However, existing systems are limited by insufficient functionality support and inefficient implementations for training GRMs in industrial scenarios.
• As such, we introduce MTGenRec as an efficient and scalable system for GRM training.
• Specifically, to handle real-time insertions/deletions of sparse embeddings, MTGenRec employs dynamic hash tables to replace static ones.