Cited By
View all- Zhang ZYang BChen XLi Q(2024)A global contextual enhanced structural-aware transformer for sequential recommendationKnowledge-Based Systems10.1016/j.knosys.2024.112515304(112515)Online publication date: Nov-2024
In recommender systems, users’ preferences for item popularity are diverse and dynamic, which reveals the different items that users prefer. Therefore, identifying user popularity preferences are significant for personalized recommendations. ...
The sequential recommender system attempts to predict the next interaction based on user’s historical behaviors, which is a challenging problem due to intricate sequential dependencies and user’s various interests underneath the interactions. ...
Sequential recommenders capture dynamic aspects of users’ interests by modeling sequential behavior. Previous studies on sequential recommendations mostly aim to identify users’ main recent interests to optimize the recommendation accuracy; they often ...
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