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Artificial intelligence system and method for semantic retrieval

An artificial intelligence and semantic technology, applied in the field of artificial intelligence systems, can solve problems such as complex search strategies, high search costs, and low search efficiency

Active Publication Date: 2020-10-27
DITU (BEIJING) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the problem with existing methods is that the search strategy is complex, resulting in low search efficiency and high search cost

Method used

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  • Artificial intelligence system and method for semantic retrieval
  • Artificial intelligence system and method for semantic retrieval
  • Artificial intelligence system and method for semantic retrieval

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Embodiment Construction

[0028] The following description is to enable those of ordinary skill in the art to implement and use the present application, and the description is provided under the circumstances of specific application scenarios and their requirements. It will be apparent to those skilled in the art that various changes to the disclosed embodiments can be made, and that the general principles defined herein can be applied to other implementations without departing from the principles and scope of the application. examples and application scenarios. Accordingly, the application is not to be limited to the described embodiments, but is to be accorded the widest scope consistent with the claims.

[0029] Terms used in the present application are used to describe specific exemplary embodiments only, and do not limit the scope of the present application. As used in this application, the singular forms "a", "an" and "the" may also include the plural forms unless the context clearly suggests an...

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Abstract

This application relates to systems and methods for semantic retrieval. The system can perform the following methods: obtain query words from the user terminal; use a pre-generated model to transform the query words into query word vectors; use a product quantization algorithm to retrieve a group of POI vectors from the retrieval library according to the query word vectors; And in response to the query, at least one POI is determined based on the set of POI vectors for recommendation to the user.

Description

technical field [0001] The present application generally relates to artificial intelligence systems and methods for semantic retrieval, and more specifically, to artificial intelligence systems and methods for semantic retrieval based on deep learning. Background technique [0002] During the online-to-offline service, when the user wants to retrieve a point of interest (POI), the user can input location-related query words into the online and offline service application implemented on the user terminal device. in the search box. The online-to-offline system can recommend at least one location to the user based on the semantics of the input query terms. At least one recommended location can help the user quickly find out the POI that the user wants to retrieve. In existing approaches for semantic search, an online-to-offline system can parse query terms and traverse at least two recall strategies to retrieve at least one recommended location for the user. However, the pro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9537
CPCG06F16/3347G06N20/20G06N5/01
Inventor 余鹏郑万吉赵骥陈欢宋奇马利
Owner DITU (BEIJING) TECH CO LTD
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