A Generation Model of Mixed Difficult and Negative Samples in Recommendation System

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- A Generation Model of Mixed Difficult and Negative Samples in Recommendation System
- “在推荐系统领域，专家提出了混合动态负采样模型，有效提升了系统稳定性和准确性。”
- Software Guide Vol. 23, Issue 7, Pages: 133-137(2024)
- 作者机构：
  
  江苏大学计算机科学与通信工程学院，江苏镇江 212013
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231686
  CLC： TP391.1
- Published：15 July 2024，
  
  Received：28 June 2023，
- 稿件说明：
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马汉达,梁文德.推荐系统中混合难负样本的生成模型[J].软件导刊,2024,23(07):133-137.

MA Handa,LIANG Wende.A Generation Model of Mixed Difficult and Negative Samples in Recommendation System[J].Software Guide,2024,23(07):133-137.
马汉达,梁文德.推荐系统中混合难负样本的生成模型[J].软件导刊,2024,23(07):133-137. DOI： 10.11907/rjdk.231686.

MA Handa,LIANG Wende.A Generation Model of Mixed Difficult and Negative Samples in Recommendation System[J].Software Guide,2024,23(07):133-137. DOI： 10.11907/rjdk.231686.

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