Although cold-start groups can be alleviated by meta-learning, we cannot apply it by using the same initialization for all groups due to their varying preferences. To tackle this problem, this paper proposes a memory-augmented meta-optimized model for group recommendation, namely GroupMO. ...
Issues Pull requests Actions Projects Security Insights Additional navigation options main 1Branch0Tags Code README MIT license MCLRec This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation". ...
序列推荐(Sequential Recommendation, SR)是根据用户的历史交互数据推荐将要与之交互的下一个项目。用公式表示:给定用户集合U和项目集合I,用户u∈U有一系列的历史交互Su={i1u,...,i|Su|u} argmaxi∈IP(i|Su+1|u=i|Su) 序列模型主干 Embedding Layer. 由项目集合I生成嵌入矩阵M∈R|I|×d,给定输入序...
Optimized and meta-optimized neural networks for short-term traffic flow prediction: a genetic approach. Transportation Research Part C: Emerging Technologies, 13(3):211-234, 2005.Vlahogianni, E.I,Karlaftis, M.G,Golias, J.C.Optimized and meta-optimized neural networks for short-term traffic ...
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To mitigate this issue and improve retrieval-augmented generation, we propose a method to refine the retrieved content before it is included in the prompt by resorting to meta-prompting optimization. Put to empirical test with the demanding multi-hop question answering task from the StrategyQA ...
maybe metainfo optimized 也许元优化
Meta-network: optimized species-species network analysis for microbial communitiesMicrobial network, Data-mining, Network analysis, Associate-rule miningBackground The explosive growth of microbiome data provides ample opportunities to gain a better understanding of the microbes and their interactions in ...
metastack简介 metastack 是基于 Slurm 的功能增强和性能优化的版本。我们团队根据多个超算,智算中心稳定运行的经验,并结合开源社区的最佳理念和实践,在保留Slurm原生功能的基础上,对Slurm进行了改进,提供了一些特色功能,例如分区并行调度,分区可见性等,解决了用户在使用Slurm中的痛点。目前metastack仅在 Linux 下进行了...
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