STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM

Traditional recommendation models often rely on unique item identifiers (IDs) to distinguish between items, which can hinder their ability to effectively leverage item content information and generalize to long-tail or cold-start items. Recently, semantic tokenization has been proposed as a promisin...

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Bibliographische Detailangaben

Hauptverfasser:	Liu, Qijiong, Zhu, Jieming, Fan, Lu, Zhao, Zhou, Wu, Xiao-Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval
Online-Zugang:	Volltext bestellen
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