LLM2Emb: A two-stage LLM-based embedding framework for long-tail sequential recommendation

已取消 10 由 sunshine 发布于 2026/9/7 14:59:11

DOI:10.1016/j.eswa.2026.133375
作者：Zhi Zhang,?Xiudan Yang,?Wenjie Luo,?Huan Liang
文献类型：期刊论文
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Elsevier

Abstract：In sequential recommendation, items are typically represented by IDs, with their embeddings learned from interaction data to capture collaborative filtering (CF) signals. However, the limite

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