A Movie Score Prediction Model Based on XGBoost Algorithm | |
Yiying Wang1,2; Zhe Yan1; Lidong Xing2 | |
2021-11 | |
会议名称 | the 2st International Conference on Culture-oriented Science & Technology (ICCST) |
会议日期 | November 18-21, 2021 |
会议地点 | Beijing, China |
会议举办国 | 中国 |
会议录编者/会议主办者 | 中国科学院自动化研究所,中国传媒大学 |
产权排序 | 2 |
摘要 | With the improvement of people’s quality of life, filmmaking has become an increasingly important part of the business industry. The score prediction before the movie is released has great reference value for the research of the related recommendation work. Although several studies have been done in this field, it is still necessary to improve the prediction performance of the movie scoring model. In this paper, an effective model is developed to predict movie score by constructing the feature engineering and using XGBoost for prediction. The whole experimental procedure strictly complies with the realworld scenario. The empirical evaluation results demonstrate the outperformance of our approach has good prediction ability on the real data. |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/47515 |
专题 | 数字内容技术与服务研究中心_版权智能与文化计算 |
通讯作者 | Yiying Wang |
作者单位 | 1.Harbin University of Science and Technology 2.Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yiying Wang,Zhe Yan,Lidong Xing. A Movie Score Prediction Model Based on XGBoost Algorithm[C]//中国科学院自动化研究所,中国传媒大学,2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ICCST-2021-A Movie S(325KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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