Meituan Technology Team

Jun 27, 2024 · Artificial Intelligence

Meituan Technical Team's Three Papers Accepted at SIGIR 2024: Ad Auction Integration, Federated Recommendation, and POI Recommendation

Meituan’s technical team has had three papers accepted at SIGIR 2024, presenting a deep‑learning mechanism that jointly optimizes ad auction and feed allocation while preserving incentive compatibility, a retrieval‑enhanced vertical federated recommendation framework that handles non‑overlapping users and mitigates cross‑domain feature gaps, and a disentangled contrastive hypergraph learning model that separates collaborative, transfer, and geographic signals to improve next‑POI recommendation performance on real‑world data.