Large Language Model Can Interpret Latent Space of Sequential Recommender

Sequential recommendation aims to predict the next item of interest for a user, based on her/his interaction history. In conventional sequential recommenders, a common approach is to learn sequence representations based on ID embeddings of items, which can be leveraged to predict the subsequent item...

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Bibliographic Details
Published in:	ACM transactions on information systems 2026-03, Vol.44 (3), p.1-38
Main Authors:	Yang, Zhengyi, Wu, Jiancan, Luo, Yanchen, Zhang, Jizhi, Yuan, Yancheng, Zhang, An, Wang, Xiang, He, Xiangnan
Format:	Article
Language:	English
Subjects:	Computing methodologies Computing methodologies / Machine learning Computing methodologies / Machine learning / Machine learning approaches Computing methodologies / Machine learning / Machine learning approaches / Learning latent representations Human-centered computing Human-centered computing / Collaborative and social computing Human-centered computing / Collaborative and social computing / Collaborative and social computing theory, concepts and paradigms Human-centered computing / Collaborative and social computing / Collaborative and social computing theory, concepts and paradigms / Collaborative filtering Information systems Information systems / Information retrieval Information systems / Information retrieval / Retrieval tasks and goals Information systems / Information retrieval / Retrieval tasks and goals / Document filtering Information systems / Information retrieval / Retrieval tasks and goals / Information extraction Information systems / Information retrieval / Retrieval tasks and goals / Recommender systems Information systems / Information systems applications Information systems / Information systems applications / Data mining Information systems / Information systems applications / Data mining / Collaborative filtering Information systems / World Wide Web Information systems / World Wide Web / Web searching and information discovery Information systems / World Wide Web / Web searching and information discovery / Social recommendation
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