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System and method for hierarchical weighting of model parameters

机译:模型参数的分层加权的系统和方法

摘要

A computer-implemented method estimates model parameters for a product. The method includes storing transaction data from customer sales in a database. The transaction data includes a product and a store. The database includes a hierarchical categorization of the products or the stores. The method includes generating a model for each product at each store in the database. The models include model parameters. The method includes aggregating first and second sets of model parameters from a first set of products occupying a first node of the hierarchical categorization and a second set of products occupying a second node of the hierarchical categorization, weighting the first and second sets of model parameters, and storing the average of the weighted first and second sets of model parameters in the database as the model parameters for a model of a product.
机译:一种计算机实现的方法估计产品的模型参数。该方法包括将来自客户销售的交易数据存储在数据库中。交易数据包括产品和商店。该数据库包括产品或商店的分层分类。该方法包括为数据库中每个商店处的每个产品生成模型。模型包括模型参数。该方法包括:从占据分层分类的第一节点的第一组产品和占据分层分类的第二节点的第二组产品中汇总第一组模型参数和第二组模型参数,对第一组模型参数和第二组模型参数加权,将加权后的第一和第二组模型参数的平均值存储在数据库中,作为产品模型的模型参数。

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