Explanation guided contrastive learning for sequential recommendation

• Main Authors: WANG, Lei, LIM, Ee-peng, LIU, Zhiwei, ZHAO, Tianxiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Sequential Recommendation; Contrastive Learning; Explanation; Databases and Information Systems; Numerical Analysis and Scientific Computing
• 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
• Institution: Singapore Management University

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...