Cited By
View all- Wu LZheng ZQiu ZWang HGu HShen TQin CZhu CZhu HLiu QXiong HChen E(2024)A survey on large language models for recommendationWorld Wide Web10.1007/s11280-024-01291-227:5Online publication date: 22-Aug-2024
With the thriving of the pre-trained language model (PLM) widely verified in various NLP tasks, pioneer efforts attempt to explore the possible cooperation of the general textual information in PLM with the personalized behavioral information in user ...
Cold-start problem is a fundamental challenge for recommendation tasks. Despite the recent advances on Graph Neural Networks (GNNs) incorporate the high-order collaborative signal to alleviate the problem, the embeddings of the cold-start users and ...
Recently, pre-training based approaches are proposed to leverage self-supervised signals for improving the performance of sequential recommendation. However, most of existing pre-training recommender systems simply model the historical behavior of a ...
Association for Computing Machinery
New York, NY, United States
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inView or Download as a PDF file.
PDFView online with eReader.
eReaderView this article in HTML Format.
HTML Format