用结构化思维链攻克十亿级低活跃用户建模难题，稀疏画像下也能精准推理。
arXiv:2606.24605v1 Announce Type: new Abstract: Accurate user modeling often depends on rich interaction histories, which are unavailable for billions…
突破单一行为模式，提出层次化用户建模新框架，提升LLM个性化效果。
arXiv:2606.02300v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse domains, yet per…
跨域推荐新突破：用语义人格模型消除信息孤岛，显著提升推荐精度与可解释性
arXiv:2606.01783v1 Announce Type: cross Abstract: Digital platforms increasingly operate as isolated information silos, limiting their ability to cons…
从人口预训练到自适应支持，新方法解决数字健康中数据稀疏下的个性化建模难题
arXiv:2605.02004v2 Announce Type: replace Abstract: Personalized models are essential in digital health because individuals exhibit substantial physio…