RecGPT is a fully integrated, production-ready framework that places user intent at the center of the recommendation pipeline by integrating large language models (LLMs) into key stages of user interest mining, item retrieval, and explanation generation, and transforms log-fitting recommendation into an intent-centric...
Jia-Kai Tang, Wen Chen, Dian Chen et al.· ACM Transactions on Informat...· 0 citations
This work presents DREAM (Developing Recommender Engine with Agentic Methods), an autonomous optimization control architecture that adds a perception-aware, orchestrable, and auditable policy layer atop existing pipelines without replacing them, supporting agentic meta-control as a viable paradigm for industrial recomm...
Bin Zhang, Bo-Wen Zheng, Chao Yi et al.· 0 citations
RecGPT-V3 is presented, a stateful, hybrid-modal recommender that reasons over natural language for open-world knowledge and Semantic IDs (SIDs) for concrete item grounding and achieves consistent gains in large-scale online A/B tests.
RecVerse is presented, a GUI-grounded simulation agent that perceives pages through screenshots and produces faithful multi-turn trajectories and significantly outperforms existing baselines in both behavioral fidelity and intent consistency.
Jia-Kai Tang, Yan Mi, Jing Yu et al.· 0 citations
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