Explanation guided contrastive learning for sequential recommendation

Recently, contrastive learning has been applied to the sequential recommendation task to address data sparsity caused by users with few item interactions and items with few user adoptions. Nevertheless, the existing contrastive learning-based methods fail to ensure that the positive (or negative) se...

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Main Authors: WANG, Lei, LIM, Ee-peng, LIU, Zhiwei, ZHAO, Tianxiang
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語言:English
出版: Institutional Knowledge at Singapore Management University 2022
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在線閱讀:https://ink.library.smu.edu.sg/lkcsb_research/7084
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8083/viewcontent/2209.01347.pdf
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機構: Singapore Management University
語言: English