Data processing method and system for cross-border e-commerce

• Main Authors: CAI FEI, JIA LONGLONG, GONG XUKAI
• Format: Patent
• Language: Chinese; English
• Published: 03.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the technical field of data processing, and particularly discloses a data processing method and system for cross-border e-commerce. And extracting change feature distribution information of the conversion associated implicit features in the time dimension from the commodity click rate and the commodity transaction achievement amount of the to-be-analyzed product in the predetermined time period, and further obtaining a recommendation index of the to-be-analyzed product through decoding regression. Therefore, the interest of the user can be accurately known, so that appropriate commodities are recommended, and the transaction success rate of the commodities is improved. 本申请涉及数据处理技术领域，其具体地公开了一种用于跨境电商的数据处理方法及其系统，其利用基于深度学习的人工智能技术，从待分析产品在预定时间周期内的商品点击量和商品交易达成量中提取在时间维度上的转化关联隐含特征的变化特征分布信息，进而通过解码回归来得到待分析产品的推荐指数。这样，能够精准地了解用户的兴趣所在，从而推荐适宜的商品，提高商品的交易成功率。