财政
发表于 2025-3-25 05:26:23
,Time-Aware Preference Recommendation Based on Behavior Sequence,pecially, long and short-term based methods capture user preferences and provide more precise recommendations. However, they rarely consider the effect of time intervals and limit the short-term preferences’ weight in predicting the next items. In this paper, we propose a novel model called TPR-BS (
友好
发表于 2025-3-25 08:28:29
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红润
发表于 2025-3-25 11:53:08
,Efficient Multi-object Detection for Complexity Spatio-Temporal Scenes,w of traffic on roads. However, the existing algorithms are inefficient in detecting real scenarios due to the following drawbacks: (1) a scarcity of traffic scene datasets; (2) a lack of tailoring for specific scenarios; and (3) high computational complexity, which hinders practical use. In this pa
Maximize
发表于 2025-3-25 16:57:21
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OTTER
发表于 2025-3-25 23:20:26
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冬眠
发表于 2025-3-26 02:01:38
,Efficient Multi-object Detection for Complexity Spatio-Temporal Scenes,w of traffic on roads. However, the existing algorithms are inefficient in detecting real scenarios due to the following drawbacks: (1) a scarcity of traffic scene datasets; (2) a lack of tailoring for specific scenarios; and (3) high computational complexity, which hinders practical use. In this pa
Myofibrils
发表于 2025-3-26 05:41:44
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Debility
发表于 2025-3-26 11:22:31
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Defiance
发表于 2025-3-26 14:01:43
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Connotation
发表于 2025-3-26 17:09:54
,NV-QALSH+: Locality-Sensitive Hashing Optimized for Non-volatile Memory,te-of-the-art LSH method, is a disk-based algorithm and suffers from high latency of disk I/O, even though it exploits disk-friendly B+-Trees as index data structures. On the other hand, DRAM-based methods occupy large amounts of expensive DRAM space and have long index rebuilt time. To solve the ha