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Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement
Sequential recommendation is one of the important branches of recommender system, aiming to achieve personalized recommended items for the future through the analysis and prediction of users' ordered historical interactive behaviors.
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