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Updated: Jun 8, 2025

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适应性多图形对比学习,用于捆绑推

Qian Tao1, Chenghao Liu1, Yuhan Xia1

  • 1School of Software, South China University of Technology, Higher Education Mega Centre, Panyu District, Guangzhou, 510006, Guangdong, China.

Neural networks : the official journal of the International Neural Network Society
|November 7, 2024
PubMed
概括

适应式多图对比学习为捆绑推 (AMCBR) 通过建模复杂的用户-项目关系来改进捆绑推. 这种新的方法通过自适应地结合图形嵌入和使用对比学习来提高用户偏好建模的准确性来提高准确性.

关键词:
捆绑推建议是一套建议.相反的学习学习.图表神经网络的神经网络超图形 (Hypergraph) 是一个超图形.

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