| 基于灰关联分析和时空偏好特征的兴趣点推荐算法 |
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| 引用本文： | 陈江美,张文德. 基于灰关联分析和时空偏好特征的兴趣点推荐算法[J]. 系统工程与电子技术, 2022, 44(6): 1934-1941. DOI: 10.12305/j.issn.1001-506X.2022.06.20 |
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| 作者姓名： | 陈江美 张文德 |
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| 作者单位： | 1. 福州大学经济与管理学院, 福建 福州 3501082. 福州大学信息管理研究所, 福建 福州 350108 |
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| 基金项目： | 中国高校产学研创新基金新一代信息技术创新(2019ITA0103) |
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| 摘 要： | 为了提高动态推荐效果，从时间个性化和连续性的角度出发，细化了签到用户的时间特征，利用灰关联分析度量时间向量的相似度，与矩阵分解算法结合，给出了一种新的矩阵分解算法。该算法可缓解时间戳细化签到矩阵后带来的数据稀疏的影响。同时为了提高个性化推荐，采用自适应核密度估计方法捕捉用户的空间偏好，增强用户的个性化体验，进而提高推荐质量。在此基础上，设计了一种新的兴趣点推荐算法。实验结果表明，该算法能有效地提高推荐准确率和召回率。
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| 关 键 词： | 兴趣点推荐 灰关联分析 矩阵分解 自适应核密度估计 |
| 收稿时间： | 2021-02-25 |
Point-of-interest recommendation algorithm based on grey relational analysis and temporal-spatial preference feature |
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| Jiangmei CHEN,Wende ZHANG. Point-of-interest recommendation algorithm based on grey relational analysis and temporal-spatial preference feature[J]. System Engineering and Electronics, 2022, 44(6): 1934-1941. DOI: 10.12305/j.issn.1001-506X.2022.06.20 |
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| Authors: | Jiangmei CHEN Wende ZHANG |
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| Affiliation: | 1. School of Economics & Management, Fuzhou University, Fuzhou 350108, China2. Institute of Information Management, Fuzhou University, Fuzhou 350108, China |
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| Abstract: | To improve the effect of dynamic recommendation, the time characteristics from the perspective of temporal non-uniformness and consecutiveness is refined. The similarity of time vectors is measured using grey relational analysis (GRA) and incorporated with the matrix factorization algorithm. A new matrix decomposition algorithm is proposed, which can alleviate the data sparsity caused by dividing the check-in matrix with time slots. To achieve personalized recommendation, the adaptive kernel density estimation is leveraged to capture the personalized spatial preference, and thus enhance the recommendation quality. On this basis, a novel point-of-interest (POI) recommendation algorithm is designed. Experiment results show the proposed algorithm can effectively improve the precision and recall. |
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| Keywords: | point-of-interest (POI) recommendation grey relational analysis (GRA) matrix factorization adaptive kernel density estimation |
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