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Address fuzzy matching method and system fusing multi-dimensional similarity and rule set

A multi-dimensional similar and fuzzy matching technology, applied in finance, geographic information databases, character and pattern recognition, etc., can solve problems such as low iteration efficiency, long iteration cycle, poor matching effect, etc., to improve iteration efficiency, reduce maintenance costs, The effect of shortening the iteration cycle

Pending Publication Date: 2021-03-30
信用生活(广州)智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the above-mentioned fuzzy matching method has the following problems. The standard database cannot store all addresses in reality, and the matching effect is poor when facing remote addresses and uncollected addresses. In addition, the matching method based on the rule tree and the rule base requires Manually iterate the matching rules for a long time to improve the matching effect, so there are disadvantages of long iteration cycle, low iteration efficiency and high system maintenance cost

Method used

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  • Address fuzzy matching method and system fusing multi-dimensional similarity and rule set
  • Address fuzzy matching method and system fusing multi-dimensional similarity and rule set
  • Address fuzzy matching method and system fusing multi-dimensional similarity and rule set

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Embodiment 1

[0069] see figure 1 , figure 1 It is a schematic flowchart of an address fuzzy matching method that integrates multi-dimensional similarity and rule sets disclosed in an embodiment of the present invention. Such as figure 1 As shown, the address fuzzy matching method integrating multi-dimensional similarity and rule set may include the following steps.

[0070] 101. Perform preprocessing on the standard address based on the standard address library to obtain information to be matched.

[0071] In the embodiment of the present invention, a standard address refers to an address with complete and accurate names and characters at each address level, such as a province, city, city, etc., and the original address submitted by the user is not standardized (the address contains pinyin characters / English characters / traditional characters / typos / repeated characters, etc.), the original address needs to be normalized.

[0072] As an optional implementation, the original address submi...

Embodiment 2

[0095] see figure 2 , figure 2 A schematic structural diagram of an address fuzzy matching system that integrates multi-dimensional similarity and rule sets disclosed in an embodiment of the present invention. Such as figure 2 As shown, the address fuzzy matching system that combines multidimensional similarity and rule sets may include:

[0096] Address acquisition unit 201, configured to acquire the original address submitted by the user;

[0097] A normalization unit 202, configured to process the original address according to a preset address naming rule to obtain a standardized address;

[0098] The standardization unit 203 is used to extract the administrative division information of the standardized address, identify the administrative division information of the standardized address based on the standard address database, and filter out the false addresses and ambiguous addresses existing in the standardized address to obtain the standard address.

[0099] The p...

Embodiment 3

[0129] see image 3 , image 3 It is a structural schematic diagram of another address fuzzy matching system that integrates multi-dimensional similarity and rule sets disclosed in the embodiment of the present invention. Such as image 3 As shown, the address fuzzy matching system that combines multidimensional similarity and rule sets may include:

[0130] A memory 301 storing executable program codes;

[0131] a processor 302 coupled to the memory 301;

[0132] Wherein, the processor 302 invokes the executable program code stored in the memory 301 to execute figure 1 An address fuzzy matching method that combines multi-dimensional similarity and rule sets.

[0133] The embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program, wherein the computer program enables the computer to execute figure 1 An address fuzzy matching method that combines multi-dimensional similarity and rule sets.

[0134] The embodiment of ...

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Abstract

The embodiment of the invention relates to the technical field of risk management and control, and discloses an address fuzzy matching method and system fusing multi-dimensional similarity and a ruleset. The method comprises the steps: preprocessing a standard address based on a standard address library to obtain to-be-matched information, extracting the address features of the to-be-matched information, and carrying out the fuzzy matching based on the to-be-matched information and the address features. calculating a first similarity by adopting the similarity calculation model, calculating asecond similarity by adopting the comparison rule set, and adjusting the first similarity by adopting the second similarity to obtain an overall similarity of the standard address relative to the to-be-matched address. According to the embodiment of the invention, a comparison rule set is matched with a similarity calculation model to carry out address fuzzy matching on a standard address, and the fuzzy matching problem of a remote address and an unrecorded address is solved through self-updating of a standard address library and incremental training of the similarity calculation model; and the comparison rule set is synchronously updated according to the incremental training result, manual iteration is not needed, and the iteration efficiency is improved, so that the system maintenance cost is reduced.

Description

technical field [0001] The invention relates to the technical field of risk management and control, in particular to an address fuzzy matching method and system that integrates multidimensional similarity and rule sets. Background technique [0002] There are all kinds of fraudulent activities in the fields of finance and credit, among which fraud involving address information is more common. Taking credit card application as an example, when applying for a credit card, customers need to fill in their home address, company name, company address, and card delivery address. In order to apply for a large-value credit card, some customers will find an intermediary to package their personal information. Fill in false company information, fill in false card delivery addresses, add special characters (pinyin characters, traditional Chinese characters, typos, etc.) . [0003] The existing anti-fraud review method mainly adopts the address fuzzy matching method based on the matchin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/02G06F16/2458G06F16/29G06K9/62
CPCG06F16/2468G06F16/29G06Q40/03G06F18/22G06F18/214
Inventor 刘志斌施明强方俊炜刘日佳
Owner 信用生活(广州)智能科技有限公司
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