A Weighted Matrix Factorization Recommendation Algorithm Based on Multivariate Preference Information

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Big Data and Information Processing | 更新时间：2025-07-29

- A Weighted Matrix Factorization Recommendation Algorithm Based on Multivariate Preference Information
- “In the field of recommendation systems, the WMF-MP algorithm fits user hidden preferences by mining multiple influencing factors, effectively alleviating the problem of data sparsity.”
- Software Guide Vol. 24, Issue 7, Pages: 143-151(2025)
- 作者机构：
  
  1.中电鸿信信息科技有限公司，江苏南京 210000
  2.中国电信股份有限公司张家港分公司，江苏张家港 215600
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.241752
  CLC： TP393
- Received：30 August 2024，
  
  Published：15 July 2025
- 稿件说明：
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黄大广,陆佳瑜.基于多元偏好信息的加权矩阵分解推荐算法[J].软件导刊,2025,24(07):143-151.

HUANG Daguang,LU Jiayu.A Weighted Matrix Factorization Recommendation Algorithm Based on Multivariate Preference Information[J].Software Guide,2025,24(07):143-151.
黄大广,陆佳瑜.基于多元偏好信息的加权矩阵分解推荐算法[J].软件导刊,2025,24(07):143-151. DOI： 10.11907/rjdk.241752.

HUANG Daguang,LU Jiayu.A Weighted Matrix Factorization Recommendation Algorithm Based on Multivariate Preference Information[J].Software Guide,2025,24(07):143-151. DOI： 10.11907/rjdk.241752.

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