| 基于指数权重算法的铁路互联网售票异常用户智能识别的研究与实现 |
| |
| 引用本文： | 李雯,朱建生,单杏花.基于指数权重算法的铁路互联网售票异常用户智能识别的研究与实现[J].铁路计算机应用,2018,27(10):7-10. |
| |
| 作者姓名： | 李雯 朱建生 单杏花 |
| |
| 作者单位： | 1.中国铁道科学研究院集团有限公司 研究生部,北京 100081; |
| |
| 基金项目： | 中国铁道科学研究院青年课题项目（2017YJ104） |
| |
| 摘 要： | 为了确保公平公正售票，保障百姓购票利益，利用大数据技术，结合现有用户购票行为数据，设计基于指数权重的铁路互联网异常用户智能识别算法，并用2017年的用户行为数据进行测试，异常用户预测准确度达80%。测试结果验证了该算法的可行性，可以有效提高异常用户识别准确度，为保障12306铁路互联网售票系统的安全稳定运行及维护公平公正的售票环境提供了技术支持。
|
| 关 键 词： | 指数权重 购票行为 互联网售票 异常用户 |
| 收稿时间： | 2018-03-13 |
Abnormal user intelligence recognition of railway Internet ticketing based on index weight algorithm |
| |
| Institution: | 1.Graduate Department, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;2.Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited,Beijing 100081, China |
| |
| Abstract: | In order to ensure fair and fair ticketing and protect the interests of people ticket buying, this paper designed an abnormal user intelligence recognition algorithm of railway Internet ticking based on index weight by using the big data technology and combining with existing user ticket buying behavior data. Using the user behavior data in 2017,the accuracy of abnormal user prediction reached 80%. The test results verify the feasibility of the algorithm, which can effectively improve the accuracy of abnormal user identification, and provide technical support for ensuring the safe and stable operation of the 12306 railway Internet Ticketing and Reservation System and maintaining fair and fair ticketing environment. |
| |
| Keywords: | |
|
| 点击此处可从《铁路计算机应用》浏览原始摘要信息 |
| 点击此处可从《铁路计算机应用》下载免费的PDF全文 |
