| CPC G06F 16/9532 (2019.01) [G06F 16/9535 (2019.01)] | 20 Claims |
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9. A computer-implemented method for document recommendation comprising:
receiving a text query;
generating text embeddings representative of the text query;
projecting the text embeddings to generate image embeddings representative of a predicted feature from a feature embeddings set based on the text embeddings of the query;
retrieving user intent embeddings from a set of user intent embeddings based on the text embeddings of the query;
retrieving text feature embeddings from a set of text feature embeddings based on the text embeddings;
retrieving image feature embeddings from a set of image feature embeddings based on the image embeddings;
generating predicted document embeddings based on the text embeddings, the intent embeddings, the text feature embeddings, and the image feature embeddings; and
presenting a document from a set of documents based on the predicted document embeddings.
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