Research on Multi-task Recommendation Model Fused with Preference Propagation

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更新时间：2024-06-27

- Research on Multi-task Recommendation Model Fused with Preference Propagation
- “在推荐系统领域，研究者提出了一种融合偏好传播的多任务推荐模型MAPKR，通过涟漪传播提取用户偏好特征，实现潜在特征共享和高阶特征表示提取，并通过多任务学习优化推荐性能。在多个公开数据集上的实验结果表明，该模型在推荐性能上优于现有基线模型。”
  
  ”
- Software Guide Vol. 23, Issue 6, Pages: 9-17(2024)
- 作者机构：
  
  1.辽宁工程技术大学软件学院
  2.辽宁工程技术大学电子与信息工程学院，辽宁葫芦岛 125105
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231526
  CLC： TP391
- Published：15 June 2024，
  
  Received：31 May 2023，
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杨本臣,叶洪宇,孟祥福.融合偏好传播的多任务推荐模型研究[J].软件导刊,2024,23(06):9-17.

YANG Benchen,YE Hongyu,MENG Xiangfu.Research on Multi-task Recommendation Model Fused with Preference Propagation[J].Software Guide,2024,23(06):9-17.
杨本臣,叶洪宇,孟祥福.融合偏好传播的多任务推荐模型研究[J].软件导刊,2024,23(06):9-17. DOI： 10.11907/rjdk.231526.

YANG Benchen,YE Hongyu,MENG Xiangfu.Research on Multi-task Recommendation Model Fused with Preference Propagation[J].Software Guide,2024,23(06):9-17. DOI： 10.11907/rjdk.231526.

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