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T METHOD OF PROVIDING T-COMMERCE ELECTRONIC PROGRAM GUIDE BASED ON BIGDATA DEEP LEARNING

机译:基于大数据深度学习的T商务电子程序指南的T方法

摘要

The present invention relates to a method of providing t-commerce broadcast programming information based on big data deep learning. The method comprises the following steps. An artificial intelligence sales prediction module learns estimated sales for each product by time based on product information, sales time information, and external factor information and outputs the estimated sales for each product and organization time. Then, a sales optimization broadcast programming module allocates the estimated sales by product and organization time as a weight based on the product and the organization time received from the artificial intelligence sales prediction module and matches the maximum weight according to the maximum weighting algorithm to generate broadcast programming information.
机译:本发明涉及一种基于大数据深度学习提供电子商务广播节目信息的方法。该方法包括以下步骤。人工智能销售预测模块根据产品信息,销售时间信息和外部因素信息按时间了解每个产品的估计销售额,并输出每个产品的估计销售额和组织时间。然后,销售优化广播编程模块基于从人工智能销售预测模块接收到的产品和组织时间,将按产品和组织时间估算的销售额分配为权重,并根据最大加权算法匹配最大权重以生成广播编程信息。

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