An e-commerce data management method and system based on big data analysis
By dividing user profiles into intervals on e-commerce platforms and determining user data management strategies based on the inventory and sales period of long-cycle products, the problems of low accuracy and low update efficiency of user profiles are solved, thereby improving the accuracy of user profile updates and the reliability of recommendations.
CN120634668BActive Publication Date: 2026-06-26HANGZHOU MAMMOTH TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU MAMMOTH TECH CO LTD
- Filing Date
- 2025-05-21
- Publication Date
- 2026-06-26
Smart Images
Figure CN120634668B_ABST
Abstract
The application provides an e-commerce data management method and system based on big data analysis, and belongs to the technical field of data management. Specifically, based on the historical purchase data of users in different long-cycle commodities and the remaining available sales period of users in a user portrait interval, when the correlation degree of the user and the long-cycle commodity meets the requirements, the user data of the user in the e-commerce platform is divided into different time intervals according to a preset time period, the historical purchase correlation of the purchased commodities of the user in different time intervals and the long-cycle commodities is determined, and the management processing strategy of the user data in different time intervals is determined in combination with the composition of the user data in different time intervals, so that the efficiency of the portrait processing of the user portrait is improved.
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