Similarity determining method and device based on individualized deep neural network

Abstract

The embodiment of the invention discloses a similarity determining method and device based on an individualized deep neural network. The method includes the steps of obtaining an inquiry text and user individualized information input by a user, wherein the user individualized information is determined according to the historical search behavior of the user or the attribute information of an intelligent terminal held by the user; conducting deep neural network processing on the inquiry text, search items and the user individualized information, and determining the similarity between the inquiry text and the search items according to the deep neural network processing result. According to the technical scheme, the user individualized information is fused in the deep neural network learning, the model effect of traditional semantic similarity determination is improved, and therefore the accuracy of the similarity between the inquiry text and the search items is improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for determining similarity based on a personalized deep neural network, and an image segmentation method and device. Background technique [0002] Returning search results to the user for the query text entered by the user is the basis of the search engine system. Determining the similarity between the query text input by the user and the search item corresponding to the query text is a prerequisite for returning search results to the user. [0003] At present, the similarity determination method based on Deep Neural Network (DNN) only performs DNN processing on the query text input by the user and the search items corresponding to the query text, and obtains the similarity based on the DNN processing results, without considering the natural One word has multiple meanings or one meaning has multiple words, so the accuracy of existing similarity...

AI Technical Summary

Problems solved by technology

[0003] At present, the similarity determination method based on Deep Neural Network (DNN) only performs DNN processing on the query text input by the user and the search items corresponding to the query text, and obtains the similarity based on the DNN processing results, without considering the natural One word has multiple meanings or one meaning has multiple words, so the accuracy of the existing similarity determination is low, which cannot meet the individual needs of users, and often cannot achieve satisfactory results in practical applications.

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