CARA：认知自适应推荐智能体框架

AI 摘要

CARA 是一个受认知决策过程启发的推荐智能体框架，将推荐建模为结构化决策过程，包含候选过滤和情感/理性双视角决策建模，并引入边界感知 KTO 策略优化训练。在 Amazon Reviews 三个领域上的实验表明，CARA 在多数指标上优于基线，相对提升最高达 10.15%。

正文节选

CARA: Cognitive Adaptive Recommendation Agent Abstract Recent advances in large language models and agent-based recommendation frameworks have introduced new opportunities for more flexible and context-aware recommendation. However, existing methods still largely rely on semantic matching, end-to-end generation, or loosely structured agent workflows, without explicitly modeling how user preferences are processed and translated into final decisions. To address this limitation, we propose CARA, a

发布时间：2026-08-19 12:00

抓取时间：2026-08-19 12:39

来源机构：arXiv