| YANG Kun（杨堃）,DUAN Yong.[J].高技术通讯(英文),2022,28(1):56~62 |
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| Personalized movie recommendation method based on ensemble learning |
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| DOI：10.3772/j.issn.1006-6748.2022.01.007 |
| 中文关键词: |
| 英文关键词: gradient boosting decision tree(GBDT), recommendation algorithm, manifold learning, ensemble learning, Bayesian optimization |
| 基金项目: |
| Author Name | Affiliation | | YANG Kun（杨堃） | (School of Information Science and Engineering，Shenyang University of Technology, Shenyang 110870, P.R.China) | | DUAN Yong | (School of Information Science and 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: |
| Aiming at the personalized movie recommendation problem, a recommendation algorithm integrating manifold learning and ensemble learning is studied. In this work, manifold learning is used to reduce the dimension of data so that both time and space complexities of the model are mitigated. Meanwhile, gradient boosting decision tree (GBDT) is used to train the target user profile prediction model. Based on the recommendation results, Bayesian optimization algorithm is applied to optimize the recommendation model, which can effectively improve the prediction accuracy. The experimental results show that the proposed algorithm can improve the accuracy of movie recommendation. |
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