面向推荐系统的矩阵分解技术

时间:2020-12-24 06:38:00
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文件名称:面向推荐系统的矩阵分解技术
文件大小:1.48MB
文件格式:PDF
更新时间:2020-12-24 06:38:00
推荐 推荐系统矩阵分解技术的经典论文。As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest-neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels

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