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面向短视频账号浅度安全等级识别方法——短视频潜在优质账号的初步划分
Short Video Account Shallow Security Level Identification Method—Preliminary Division of Potential High-Quality Accounts for Short Videos

DOI: 10.12677/HJDM.2023.132016, PP. 165-172

Keywords: 账号安全类型识别,KNN算法,网格搜索算法,曼哈顿距离

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Abstract:

针对短视频账号信息内容浅度安全等级分类识别的短视频官方未认证账号进行初级的潜在优质用户划分进行研究。由于账号信息内容浅度安全等级分类识别的特征值相对不多,而且本文要的需求是保证其识别的准确率,故改进了KNN算法,提出选择使用GM-KNN模型来对其进行分类识别。通过网格搜索算法确定了K值的最优参数,将不同距离进行对比,选择了该模型的最优距离曼哈顿距离,实现了潜在优质账号的初步划分。经过实验对比,GM-KNN模型准确率在短视频潜在优质账号的初步划分中均优于其他对比算法。
The research is on the primary potential high-quality user division of short video official unauthenticated accounts identified by shallow security level classification of short video account information content. Since there are relatively few eigenvalues for the classification and identification of shallow security levels of account information, and the requirement of this paper is to ensure the accuracy of its identification, the KNN algorithm is improved, and the GM-KNN model is proposed to be used for classification and identification. The optimal parameter of the K value was determined by the grid search algorithm, and the different distances were compared, and the optimal distance of the model was selected, the Manhattan distance, and the preliminary division of potential high-quality accounts was realized. After experimental comparison, the accuracy of GM-KNN model is better than other comparative algorithms in the preliminary division of potential high-quality accounts of short videos.

References

[1]  张炎亮, 张超, 李静. 基于动态用户画像标签的KNN分类推荐算法研究[J]. 情报科学, 2020, 38(8): 11-15.
[2]  Xu, G., Zhang, L., Ma, C. and Liu, Y. (2020) A Mixed Attributes Oriented Dynamic SOM Fuzzy Cluster Algorithm for Mobile User Classification. Information Sciences, 515, 280-293.
https://doi.org/10.1016/j.ins.2019.12.019
[3]  Yan, M., Li, S., Chan, C.A., et al. (2021) Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification. Sensors, 21, Article 1740.
https://doi.org/10.3390/s21051740
[4]  Hu, D., Zhou, K., Li, F. and Ma, D. (2022) Electric Vehicle User Classifi-cation and Value Discovery Based on Charging Big Data. Energy, 249, Article ID: 123698.
https://doi.org/10.1016/j.energy.2022.123698
[5]  Reddy, S.R.G., Varma, G.P.S. and Davuluri, R.L. (2023) Res-net-Based Modified Red Deer Optimization with DLCNN Classifier for Plant Disease Identification and Classification. Computers and Electrical Engineering, 105, Article ID: 108492.
https://doi.org/10.1016/j.compeleceng.2022.108492
[6]  张立秀, 张淑娟, 孙海霞, 薛建新, 任锐, 刘文俊. 高光谱技术结合网格搜索优化支持向量机的桃缺陷检测[J/OL]. 食品与发酵工业: 1-10.
https://doi.org/10.13995/j.cnki.11-1802/ts.033557
[7]  吴胜义, 王义贵, 王飞, 李伟坡. 基于多距离度量kNN模型的森林蓄积量反演[J]. 中南林业科技大学学报, 2023, 43(2): 10-18.
https://doi.org/10.14067/j.cnki.1673-923x.2023.02.002

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