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GENERATING SUPERVISED EMBEDDINGS USING UNSUPERVISED EMBEDDINGS
GENERATING SUPERVISED EMBEDDINGS USING UNSUPERVISED EMBEDDINGS
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机译：使用非监督的嵌入生成监督的嵌入
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摘要
Techniques for generating supervised embedding representations using unsupervised embedding representations and deep semantic structured models for search are disclosed herein. In some embodiments, a computer system generates a graph data structure based on accessed profile data, generates an initial embedding vector using an unsupervised machine learning algorithm, receiving training data comprising query representations, search result representations, and user actions, with each one of the plurality of query representations comprising the initial embedding vector, and generates a final embedding vector using a supervised learning algorithm and the received training data.
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