LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation

Sequential Recommenders generate recommendations based on users' historical interaction sequences. However, in practice, these collected sequences are often contaminated by noisy interactions, which significantly impairs recommendation performance. Accurately identifying such noisy interactions...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Bohao, Liu, Feng, Zhang, Changwang, Chen, Jiawei, Wu, Yudi, Zhou, Sheng, Lou, Xingyu, Wang, Jun, Feng, Yan, Chen, Chun, Wang, Can
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Information Retrieval
Online-Zugang:	Volltext bestellen
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