| TAN Hui(谭惠),DUAN Yong.[J].高技术通讯(英文),2023,29(2):206~212 |
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| Prediction of users online purchase behavior based on selective ensemble learning |
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| DOI：10. 3772/ j. issn. 1006-6748. 2023. 02. 011 |
| 中文关键词: |
| 英文关键词: users’ online purchase behavior, Stacking, selective ensemble, ensemble pruning,
feature engineering |
| 基金项目: |
| Author Name | Affiliation | | TAN Hui(谭惠) | (School of In formation Science Engineering, Shenyang University of Technology, Shenyang 110870, P. R. China) | | DUAN Yong | (School of In formation Science Engineering, Shenyang University of Technology, Shenyang 110870, P. R. China) |
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| 中文摘要: |
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| 英文摘要: |
| A probabilistic multi-dimensional selective ensemble learning method and its application in the prediction of users’ online purchase behavior are studied in this work. Firstly, the classifier is integrated based on the dimension of predicted probability, and the pruning algorithm based on greedy forward search is obtained by combining the two indicators of accuracy and complementarity. Then the pruning algorithm is integrated into the Stacking ensemble method to establish a user online shopping behavior prediction model based on the probabilistic multi-dimensional selective ensemble method. Finally, the research method is compared with the prediction results of individual learners in ensemble learning and the Stacking ensemble method without pruning. The experimental results show that the proposed method can reduce the scale of integration, improve the prediction accuracy of the model, and predict the user’s online purchase behavior. |
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