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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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
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Online Access: | 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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Institution: | Singapore Management University |
Language: | English |
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