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METHOD AND APPARATUS FOR RECOMMENDATION BY APPLYING EFFICIENT ADAPTIVE MATRIX FACTORIZATION

机译:通过有效自适应矩阵分解进行推荐的方法和装置

摘要

A method, apparatus and computer-readable storage medium for determining one or more recommendations by applying efficient adaptive matrix factorization are disclosed. The method comprises causing, at least in part, an iterative performing of the following steps: a using of a current data set to optimize parameters used to adapt a current matrix factorization model by the end of the current time period, and a training of a current matrix factorization model and the current data set by the end of the current time period, based on the optimized parameters, to obtain an adapted matrix factorization model for service in a next time period.
机译:公开了一种通过应用有效的自适应矩阵分解来确定一个或多个推荐的方法,装置和计算机可读存储介质。该方法包括至少部分地导致以下步骤的迭代执行:使用当前数据集来优化用于在当前时间段结束之前适配当前矩阵分解模型的参数,以及训练当前矩阵分解模型和当前数据在当前时间段结束时设置的数据,基于优化的参数,以获得适应的矩阵分解模型,以便在下一个时间段使用。

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