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A transaction sanction list matching system

A list and transaction technology, applied in the field of identity authentication, can solve the problem of unreliable identity recognition, and achieve the effect of improving reliability

Pending Publication Date: 2019-05-28
上海诺悦智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Nevertheless, under the trend of financial nationalization, financial cooperation between multinationals is becoming more and more frequent. Therefore, there is still no reliable way to solve the identity identification involving multinational customers in the field of identity authentication.

Method used

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  • A transaction sanction list matching system
  • A transaction sanction list matching system
  • A transaction sanction list matching system

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Experimental program
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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] There may be other associated expressions for customer names, such as aliases, typos in names, abbreviations, aliases, etc. Therefore, the present invention proposes a method for fuzzy matching of customer names to match customer names. Since in some types of transaction information, customer information includes customer name and address, which cannot be separated by simple separators, the present invention uses the NLP model constructed by natural language processing (NLP) technology trained by machine learning algorithms to intelligently identify and applied to fuzzy matching on the sanction list. Such as figure 1 Shown, concrete steps of the present invention are as follows:

[0032] 1. Acquisition of transaction information flow: transaction information is quickly and uninterruptedly imported into the system, so this invention uses open so...

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Abstract

The invention discloses a transaction sanction list matching system. The system comprises a message queue module, a client name analysis module and a fuzzy matching module; the message queue module ismainly responsible for uninterruptedly subscribing to receive the transaction information flow, analyzing transaction information and extracting client information; the client name analysis module isused for extracting and analyzing client names from the extracted client information by using an NLP model constructed by using an NLP technology trained by a machine learning algorithm, and finally,fuzzy matching is performed on the client names in the fuzzy matching module to cut a list and output the list. According to the invention, the mismatching rate of the traditional customer identity list cutting system can be reduced by more than 50%; According to the invention, the client identity recognition can be improved from character matching to the client information association matching level, and the identity authentication matching reliability is greatly improved.

Description

technical field [0001] The invention relates to the field of identity authentication, in particular to a transaction sanction list matching system, which is mainly used to confirm the identity of customers (including individuals, companies or institutions, etc.) in the specific customer identity list during transactions. Background technique [0002] The customer identity matching and identification business is widely used in the process of identity authentication and identification. In special scenarios, due to the hidden needs of customers for identity, the identification personnel need to pass a variety of identity information (name, nationality, date of birth, company name, In order to complete the confirmation of the actual identity, a comprehensive comparison should be carried out. [0003] International Business Machines Corporation once proposed a method and system for Chinese name matching (application number: 201410060194.4, application date: 2014-02-21), which can...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/2452G06F16/25G06F16/35G06F17/27
Inventor 王子剑严武陈龙曹磊
Owner 上海诺悦智能科技有限公司