线下零售用户智能筛选方法
CN116308562BActive Publication Date: 2026-07-17CHONGQING TRADING CO AGEL ECOMMERCE LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING TRADING CO AGEL ECOMMERCE LTD
- Filing Date
- 2023-02-09
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies suffer from resource waste and high labor costs in pushing user information to offline retail businesses, and the accuracy and real-time nature of user screening are insufficient.
Method used
Using machine learning methods, user characteristics are constructed based on users' historical consumption data and holiday features, including the probability of potential shopping during holidays, potential purchase categories, gender, shopping age, and associated brand scores. The trained screening model outputs the probability of users visiting stores during holidays, automatically screening potential users.
Benefits of technology
It improved the accuracy of user screening, reduced labor costs, reduced resource waste, and achieved precise information delivery.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116308562B_ABST
Abstract
本发明提供了线下零售用户智能筛选方法，该方法包括：获取用户数据；定义目标场景，设置相应的节日特征；基于节日特征利用用户数据构建用户特征，用户特征包括节日潜在购物概率、潜在购买品类、性别、购物年龄、关联品牌得分、半年购物频次、最近一次消费距离当前天数、非投诉类客服咨询次数；将用户特征输入训练好的筛选模型输出用户节日到店消费概率；筛选潜在用户，将潜在用户的用户信息发送至信息推送中心。本发明大大提升了对于被发送信息用户的准确度，减少对其他用户的打扰，降低了组织在大批量无差别发送信息过程中出现的资源浪费，提升资源利用率。
Need to check novelty before this filing date? Find Prior Art