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COGNITIVE SEARCHES BASED ON DEEP-LEARNING NEURAL NETWORKS
COGNITIVE SEARCHES BASED ON DEEP-LEARNING NEURAL NETWORKS
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机译:基于深度学习神经网络的认知搜索
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摘要
This disclosure relates to a development and application of a deep-learning neural network (DNN) model for identifying relevance of an information item returned by a search engine in response to a search query by a user, with respect to the search query and a profile for the user. The DNN model includes a set of neural networks arranged to learn correlations between queries, search results, and user profiles using dense numerical word or character embeddings and based on training targets derived from a historical search log containing queries, search results, and user-click data. The DNN model help identifying search results that are relevant to users according to their profiles.
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