RecGPT-V3: Stateful, Hybrid-Modal Recommender System Deployed on Taobao
RecGPT-V3 is a stateful, hybrid-modal recommender system deployed in Taobao's 'Guess What You Like' feed. It introduces a Memory Hub to reduce user-modeling computation by 55.8%, a Hybrid-modal Foundation Model for joint reasoning over text tags and Semantic IDs, and Latent Intent Reasoning to lower output token cost by 200x. Large-scale online A/B tests report improvements in IPV (+1.28%), CTR (+1.00%), TC (+1.97%), GMV (+3.97%), and a 52.4% reduction in serving resource consumption.
Why it matters: RecGPT-V3 demonstrates a significant advance in scaling LLM-based recommender systems, achieving notable gains in both user experience and resource efficiency in a real-world, high-traffic deployment.
Full story at: arXiv Information Retrieval ↗