BATE
发表于 2025-3-28 16:31:10
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外向者
发表于 2025-3-28 20:16:51
Computing Online Average Happiness Maximization Sets over Data Streamsm which greedily selects data points based on the adaptive thresholds strategy. Experimental results on the synthetic and real datasets demonstrate the efficiency and effectiveness of our GreedyAT algorithm.
殖民地
发表于 2025-3-29 00:17:35
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开始发作
发表于 2025-3-29 04:27:29
Self-guided Contrastive Learning for Sequential Recommendationrmer layers’ output as a series of views. We employ these views to guide the training of the other trainable BERT encoder. Moreover, we modify the contrastive learning objective function to accommodate one-to-many positive views constraints. Experiments on four real-world datasets demonstrate the effectiveness and robustness of ..
shrill
发表于 2025-3-29 08:44:43
Eir-Ripp: Enriching Item Representation for Recommendation with Knowledge Graphusers’ preference and the correlation between users and items are extracted to complement the semantic information of items. We conduct extensive experiments to evaluate our proposal on three public data sets. Experimental results show that our model outperforms the baseline methods in terms of an up to 8.8% improvement in the recommendation.
podiatrist
发表于 2025-3-29 13:31:24
Eir-Ripp: Enriching Item Representation for Recommendation with Knowledge Graphusers’ preference and the correlation between users and items are extracted to complement the semantic information of items. We conduct extensive experiments to evaluate our proposal on three public data sets. Experimental results show that our model outperforms the baseline methods in terms of an up to 8.8% improvement in the recommendation.
联合
发表于 2025-3-29 17:13:15
Wenzheng Sui,Xiaoxia Jiang,Weiyi Ge,Wei Hung but highly original papers is a major contribution to the advancement of economic science. The editors feel that a symposium of this kind is worthwhile and s978-3-540-08352-8978-3-642-95303-3Series ISSN 0075-8442 Series E-ISSN 2196-9957
评论者
发表于 2025-3-29 21:00:26
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裤子
发表于 2025-3-30 01:32:14
Aoran Li,Jiajun Wu,Shuai Xu,Yalei Zang,Yi Liu,Jiayi Lu,Yanchao Zhao,Gaoxu Wang,Qing Meng,Xiaoming Fu
未完成
发表于 2025-3-30 06:21:25
Rui Chen,Dongxue Chen,Riwei Lai,Hongtao Song,Yichen Wang