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Traditional sequential recommendation methods assume that users' sequence data is clean enough to learn accurate sequence representations to reflect user preferences.
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2023
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C. Wu, F. Wu, T. Qi, Q. Liu, X. Tian, J. Li, W. He, Y. Huang, and X. Xie, “Feedrec: News feed recommendation with various user feedbacks,” in WWW , 2022, pp. 2088–2097
2097
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