| 一种融合社交信任的矩阵分解推荐算法 |
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| 引用本文： | 吴舜歆,何怀文.一种融合社交信任的矩阵分解推荐算法[J].福建电脑,2022,38(3):10-12. |
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| 作者姓名： | 吴舜歆 何怀文 |
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| 作者单位： | 电子科技大学中山学院计算机学院 广东 中山 528402 |
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| 基金项目： | 广东省中山市科学技术局社会公益科技研究专项 |
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| 摘 要： | 为了解决数据稀疏性对推荐算法预测准确度的影响,本文提出了一种融合社交信任的矩阵分解推荐算法。在相关数据集上实验结果表明,预测的平均绝对误差和均方根误差都得到了明显的改善。
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| 关 键 词： | 推荐系统 矩阵分解 社交信任 |
The Matrix Factorization Recommender Algorithm Integrating Social Trust |
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| WU Shunxin,HE Huaiwen.The Matrix Factorization Recommender Algorithm Integrating Social Trust[J].Fujian Computer,2022,38(3):10-12. |
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| Authors: | WU Shunxin HE Huaiwen |
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| Affiliation: | (School of Computer Engineering,University of Electronic Science and Technology of China,Zhongshan Institute,Zhongshan,China,528402) |
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| Abstract: | In order to solve the influence of data sparsity on the prediction accuracy of recommendation algorithm,a matrix decomposition recommendation algorithm integrating social trust is proposed in this paper.The experimental results on relevant data sets show that the average absolute error and root mean square error of prediction have been significantly improved. |
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| Keywords: | Recommendation System Matrix Decomposition Social Trust |
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