Banquet 发表于 2025-3-25 06:20:42
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,Multi-pair Contrastive Learning Based on Same-Timestamp Data Augmentation for Sequential Recommenda models can make better sequential recommendations because each item in user’s historical behaviors fuses information from both left and right sides. Despite their effectiveness, we argue that such bidirectional models are sub-optimal due to the limitations including: a) items with the same timestam胎儿 发表于 2025-3-26 07:07:46
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On the Complexity of Evaluating Regular Path Queries over Linear Existential Rules,by means of linear existential rules. More specifically, we show how to extend an approach developed for DL-Lite. to obtain an exponential-time decision procedure for linear rules. We prove that this algorithm achieves optimal worst-case complexity by establishing a matching . lower bound.GULLY 发表于 2025-3-26 15:35:40
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d MacCallum in Agile and lean concepts for teaching and learning. Springer, .) on the part of companies and universities. Based upon three lecturers’ experiences in France, this chapter provides practical insights about how to align industry-based practices and higher education by focusing on three