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GENDER ATTRIBUTE ASSIGNMENT USING A MULTIMODAL NEURAL GRAPH
GENDER ATTRIBUTE ASSIGNMENT USING A MULTIMODAL NEURAL GRAPH
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机译:使用多模式神经图的性别属性分配
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摘要
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform receiving from an item catalog database a respective item description and respective attribute values for each item of a set of items; generating text embeddings using a text embedding model to represent the respective item description and the respective attribute values; generating a graph of the set of items from the item catalog database connected by a set of edges; training the text embedding model and a machine learning model using a neural loss function based on the graph; and automatically determining, based on the machine learning model, as trained, a gender label for each first item in which the gender classification is unlabeled and in which a respective quantity of respective attribute values for the each first item is at least a predetermined threshold. Other embodiments are disclosed.
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