Semantic sharing platform system

A shared platform and semantic technology, applied in special data processing applications, instruments, unstructured text data retrieval, etc., can solve the problems of low search efficiency, complex search strategies, and high search costs, and achieve module decoupling and easy expansion. , the effect of clear layers

Pending Publication Date: 2021-11-12
中科国力(镇江)智能技术有限公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

In the existing methods for semantic search, the online-to-offline system can parse the query words and go through at least two recall strategies to retrieve at least one reco

Method used

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Embodiment Construction

[0017] The present invention will be described in further detail below.

[0018] The invention provides a semantic sharing platform system, including a thesaurus and database construction system, a self-learning engine system, and a customer service assistant application system;

[0019] The thesaurus and database construction system include thesaurus construction, basic corpus construction, group existing ability transfer;

[0020] The construction of the thesaurus: artificially extract standardized parts of speech based on accumulated customer questions; according to specific needs, use the maintained parts of speech to assemble clauses; synchronously update the entries maintained by the original semantic platform to the local In the semantic database, the entries are expanded according to the specific corpus.

[0021] The construction of the basic corpus: write a completely matching equal word model for the standard question to realize the precise matching of the standard ...

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PUM

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Abstract

The invention relates to a semantic sharing platform system which comprises a word bank and database construction system, a self-learning engine system and a customer service assistant application system. The self-learning engine system comprises an intelligent recommendation module and an intelligent maintenance and detection module; the intelligent recommendation module is used for realizing the functions of automatic clustering, automatic pushing and automatic data statistics on text data meeting hot event conditions, automatically judging whether a customer is interested in similar knowledge points or not according to historical consultation, and pushing information contents of similar problems to a service system; the intelligent maintenance and detection module is used for automatically aggregating similar questions according to a sample set of customer questions to improve the semantic maintenance efficiency; when the training personnel maintain the semantic knowledge, a conflict reminding function is provided; when the word model is maintained, conflicting semantics of the semantic platform are automatically judged, and manual intervention is carried out to improve the precision of semantic recognition.

Description

technical field [0001] The present invention relates to a semantic sharing platform system, more specifically, relates to a semantic sharing platform system of a multimedia customer service platform. Background technique [0002] During the online-to-offline service, when the user wants to search for a place of interest, the user can input location-related query words into the query box of the online and offline service application implemented on the user terminal device, The online-to-offline system can recommend a location to the user based on the semantics of the input query words. At least one recommended location can help the user to quickly find the item that the user wants. In the existing methods for semantic search, the online-to-offline system can parse the query words and go through at least two recall strategies to retrieve at least one recommended location for the user, however, the problem with the existing methods is that the search strategy Complicated, resu...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/335G06F16/955
CPCG06F16/9566G06F16/3344G06F16/335
Inventor 周志伟
Owner 中科国力(镇江)智能技术有限公司
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