English(EN) JevRec: Linguistic Encoding with Jev-like Decision Modeling for LLM-based Generative Recommendation

JevRec 为生成式推荐引入可变长度语义标识符

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 04:00

研究人员开发了JevRec，一种用于生成式推荐系统的新方法，该方法将物品编码为可变长度语义标识符（SID）。这种受语言编码启发的模型为经常交互的物品分配较短的SID，为不常交互的物品分配更详细的SID。JevRec 利用Jev类决策建模组件分别预测SID长度和生成内容，旨在减少这两项任务之间的冲突。实验表明，JevRec在推荐指标上优于现有基线，并提供了改进的训练和推理时间。 AI

影响这项研究通过优化基于交互频率的物品编码，有望带来更高效、更有效的推荐系统。

排序理由该集群包含一篇详细介绍生成式推荐系统新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍生成式推荐系统新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Qiyong Zhong, Jiajie Su, Ming Yang, Li Zhang · 2026-10-28 04:00

JevRec：基于Jev类决策建模的语言编码用于LLM驱动的生成式推荐

arXiv:2610.36937v1 Announce Type: new Abstract: Generative recommendation (GR) represents items as semantic identifiers (SIDs) and autoregressively generates the next item's SID from interaction history. However, most methods assign the same SID length to all items despite highly…

本文如何被排名

报道来源 [1]

JevRec：基于Jev类决策建模的语言编码用于LLM驱动的生成式推荐

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