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A Multi-Interest Evolution Story

, , , and . Proceedings of the 31st ACM International Conference on Information &amp$\mathsemicolon$ Knowledge Management, page 1655–1665. ACM, (October 2022)
DOI: 10.1145/3511808.3557221

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ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM., , , , and . MMM (1), volume 14554 of Lecture Notes in Computer Science, page 273-285. Springer, (2024)A Multi-Interest Evolution Story, , , and . Proceedings of the 31st ACM International Conference on Information &amp$\mathsemicolon$ Knowledge Management, page 1655–1665. ACM, (October 2022)A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention., , , and . CIKM, page 1655-1665. ACM, (2022)The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation., , and . SIGIR, page 859-868. ACM, (2021)