信息安全研究 ›› 2018, Vol. 4 ›› Issue (6): 570-574.

• 技术应用 • 上一篇    下一篇

基于人工智能的信用卡安全营销及应用

陈任峰   

  1. 银联数据服务有限公司
  • 收稿日期:2018-06-14 出版日期:2018-06-15 发布日期:2018-06-14
  • 通讯作者: 陈任峰
  • 作者简介:陈任峰 硕士研究生,主要研究方向为金融大数据、人工智能。

The Application of Credit Card Security Marketing Based on Artificial Intelligence

  • Received:2018-06-14 Online:2018-06-15 Published:2018-06-14

摘要: 随着信用卡行业竞争日渐加剧,精准获客引流、减少用户流失成为营销关键.为了提升信用卡有效营销能力,从被动防控与主动挖掘角度提出了基于人工智能技术的解决方案.在被动防控上,通过人机识别模型可有效防控营销资源的恶意攻击;在主动挖掘上,基于营销响应模型可提高对目标客群的有效搜索能力.风险防控与精准挖掘的综合运用,可保障优质用户的营销红利,降低营销风险及营销成本,为信用卡安全精准营销提供解决思路.

关键词: 人工智能, 安全营销, 人机识别, 精准挖掘, 信用卡分期

Abstract: Accurate access to customers and reducing user churn have become the key to credit card marketing with the increasing competition. In order to enhance the effective credit card marketing capabilities, a solution based on artificial intelligence technology is proposed from the perspective of passive prevention and active mining. In passive prevention, the model of humanmachine recognition can effectively prevent and control malicious attacks on marketing resources, while in active mining, the precision marketing model can effectively promote the ability to search for target customers. The comprehensive application of risk prevention and precise mining can guarantee more marketing bonus for highquality customers, as well as reduce marketing risk and costs, which provide a safe and efficient solution to credit card marketing.

Key words: artificial intelligence, security marketing, human-machine behavior recognition, precise mining, credit card installment