Research on User Profile Construction Method Based on Improved TF-IDF Algorithm | |
SHAO Ze-ming1; LI Yu-ang1; YANG Ke1; WANG Guo-peng2,3; LIU Xing-guo2,3; CHEN Han-ning1; SI Zhan-jun1 | |
2024 | |
发表期刊 | 印刷与数字媒体技术研究
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ISSN | 2097-2474 |
期号 | 6页码:110-116 |
摘要 | In the data-driven era of the internet and business environments,constructing accurate user profiles is paramount for personalized user understanding and classification.The traditional TF-IDF algorithm has some limitations when evaluating the impact of words on classification results.Consequently,an improved TF-IDF-K algorithm was introduced in this study,which included an equalization factor,aimed at constructing user profiles by processing and analyzing user search records.Through the training and prediction capabilities of a Support Vector Machine(SVM),it enabled the prediction of user demographic attributes.The experimental results demonstrated that the TF-IDF-K algorithm has achieved a significant improvement in classification accuracy and reliability. |
关键词 | TF-IDF-K algorithm User profiling Equalization factor SVM |
URL | 查看原文 |
语种 | 中文 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.library.ouchn.edu.cn/handle/39V7QQFX/174169 |
专题 | 国家开放大学 |
作者单位 | 1.College of Artificial Intelligence,Tianjin University of Science and Technology,Tianjin 300457,China; 2.The Open University of China,Beijing 100039,China; 3.Engineering Research Center of Integration and Application of Digital Learning Technology,Ministry of Education,Beijing 100039,China |
推荐引用方式 GB/T 7714 | SHAO Ze-ming,LI Yu-ang,YANG Ke,et al. Research on User Profile Construction Method Based on Improved TF-IDF Algorithm[J]. 印刷与数字媒体技术研究,2024(6):110-116. |
APA | SHAO Ze-ming.,LI Yu-ang.,YANG Ke.,WANG Guo-peng.,LIU Xing-guo.,...&SI Zhan-jun.(2024).Research on User Profile Construction Method Based on Improved TF-IDF Algorithm.印刷与数字媒体技术研究(6),110-116. |
MLA | SHAO Ze-ming,et al."Research on User Profile Construction Method Based on Improved TF-IDF Algorithm".印刷与数字媒体技术研究 .6(2024):110-116. |
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