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Pre-training, Alignment, and Decoupling: Enhancing Sequential Recommendations with Large Language Models

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究提出了一种新的预训练、对齐与解耦（PAD）范式，有效解决了序列推荐系统在协同数据依赖下的冷启动问题，显著提升了推荐模型的性能。

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标签

models 冷启动 对齐 序列推荐 解耦 预训练
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