Abstract: Influence maximization (IM) has garnered extensive attention due to its broad applicability across various real-world domains. However, most existing approaches primarily focus on the ...
Abstract: This paper studies personalized task recommendation in a novel and practical context, where a learner completes learning tasks from multiple disciplines concurrently over a learning period ...
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