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    • 2. 发明申请
    • AUTOMATED PRODUCT ATTRIBUTE SELECTION
    • 自动产品属性选择
    • WO2012064893A2
    • 2012-05-18
    • PCT/US2011060058
    • 2011-11-09
    • GOOGLE INCGOKTURK SALIH BZHANG WEIANTUNEZ EMILIO RODRIGUEZSUMENGEN BARIS
    • GOKTURK SALIH BZHANG WEIANTUNEZ EMILIO RODRIGUEZSUMENGEN BARIS
    • G06Q30/00G06K9/18G06Q10/00
    • G06F17/30873G06Q30/0278
    • Product data for a product is received by an attribute selection module. The product data includes product image data and product text data. This product data is used to generate a plurality of probability distributions for a category. The category includes a plurality of attributes, and the probability distribution includes a plurality of probabilities indicating the likelihoods that attributes of the category are applicable to the product. The plurality of probability distributions for the category are weighted and summed to generate a combined probability distribution for the category. An attribute label is determined by selecting an attribute from the category that is indicated to be most likely applicable to the product based on the combined probability distribution for the category. The attribute label is associated with the product. The attribute label enables other services to search for and retrieve the product based on the attribute.
    • 产品的产品数据由属性选择模块接收。 产品数据包括产品图像数据和产品文本数据。 该产品数据用于为一个类别生成多个概率分布。 该类别包括多个属性,并且概率分布包括指示该类别的属性适用于该产品的可能性的多个概率。 对该类别的多个概率分布进行加权和求和以生成该类别的组合概率分布。 根据类别的组合概率分布,通过从被指示为最可能适用于产品的类别中选择属性来确定属性标签。 属性标签与产品相关联。 属性标签使其他服务可以根据属性搜索和检索产品。