CPMR: context-aware incremental sequential recommendation with pseudo-multi-task learning

CPMR: context-aware incremental sequential recommendation with pseudo-multi-task learning

The motivations of users to make interactions can be divided into static preference and dynamic interest. To accurately model user representations over time, recent studies in sequential recommendation utilize information propagation and evolution to mine from batches of arriving interactions. Howev...

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書目詳細資料
Main Authors:	Bian, Qingtian, Xu, Jiaxing, Fang, Hui, Ke, Yiping
其他作者:	School of Computer Science and Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Recommender Systems Incremental Recommendation Context-Aware Recommendation Graph Neural Networks Pseudo-Multi-Task Learning
在線閱讀:	https://hdl.handle.net/10356/170988
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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