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FEEDBACK AND TRAINING FOR A MACHINE LEARNING ALGORITHM CONFIGURED TO DETERMINE CUSTOMER PURCHASES DURING A SHOPPING SESSION AT A PHYSICAL STORE
FEEDBACK AND TRAINING FOR A MACHINE LEARNING ALGORITHM CONFIGURED TO DETERMINE CUSTOMER PURCHASES DURING A SHOPPING SESSION AT A PHYSICAL STORE
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机译:用于机器学习算法的反馈和培训,配置为在物理商店购物期间确定客户购物
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摘要
An apparatus includes a processor. The processor receives an algorithmic shopping cart that includes a first set of items determined by an algorithm to have been selected by a person during a shopping session in a physical store, based on a set of inputs received from sensors located within the physical store. The processor also receives a virtual shopping cart that includes a second set of items. Video of the shopping session was captured by a set of cameras located in the physical store and depicts the person selecting the second set of items. The processor compares the algorithmic cart to the virtual cart and determines that a discrepancy exists between the algorithmic cart and the virtual cart. The processor determines a subset of the set of inputs associated with the discrepancy and attaches metadata explaining the discrepancy to the subset. The processor uses the subset to train the algorithm.
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