面向推荐系统的矩阵分解技术
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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