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Dynamic information association method

A dynamic information and dynamic technology, applied in the computer field, can solve the problem of not considering the direction of motion, acceleration, etc., and achieve the effect of improving the accuracy and recall rate

Pending Publication Date: 2022-07-01
江苏省联合征信有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing technology 2 only judges whether the association can be performed based on the distance of the user's physical location at different times, and does not consider the movement direction, acceleration and other information contained in the user's historical path

Method used

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Examples

Experimental program
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Embodiment 1

[0035] Embodiment 1: This embodiment is based on the construction of an enterprise graph. The enterprise graph consists of entities and relationships between entities, such as natural persons, companies, phone numbers, addresses, etc., and relationships between entities such as investment and employment.

[0036] The system architecture diagram in this embodiment is as follows image 3 As shown, information entities such as natural persons are stored in the information entity database. It is assumed that the following content already exists. There are two natural persons named Zhang San, whose unique identifiers are U001 and U002 respectively.

[0037] Table 1 Example 1 Information Entity Database—Natural Person Initial Content

[0038] Uniquely identifies Name license number U001 Zhang San ID0001 U002 Zhang San ID0002

[0039] (1.1) Information records of investment relationship and other types are stored in the information record database. ...

Embodiment 2

[0070] Example 2: Information correction is required:

[0071] It is assumed that the initialization state of the second embodiment is the same as that of the first embodiment (see Table 1 and Table 2).

[0072] (2.1) Received the following new information records, in which the static individual attribute and value are "name: Zhang San", the dynamic relationship attribute and value are "the number of shares held by company A: 500,000" and "the number of shares held by company A" Proportion: 0.5%", "Number of shares held by Company B: 4.5 million" and "Proportion of shares held by Company B: 450%". The "shareholding ratio: 450%" is different from the first embodiment.

[0073] Table 7 Example 2 Newly Added Information Records

[0074]

[0075] (2.2) to (2.6) are the same as (1.2) to (1.6) of Embodiment 1;

[0076] (2.7) The dynamic attribute "Shareholding ratio of Company A" of the newly added information record (Table 7), within the predicted value range, takes the corre...

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Abstract

The invention discloses a dynamic information association method, which comprises the following steps of: 1) receiving a newly added information record and determining a similar information entity set according to a static attribute, and 2) if no similar information entity exists, creating a new information entity, ending a process, if the similar information entity exists, and acquiring a historical information record of the dynamic attribute of the similar information entity. 3) constructing a prediction model for each dynamic attribute of the information entity, determining a reasonable value range of the dynamic attributes, constructing correlation characteristics of the prediction model for each dynamic attribute of the information entity, and calculating a dynamic attribute prediction value range of the entity with similar information; according to the scheme, the information from different data sources and / or different moments is associated by utilizing the change trend of the dynamic attributes and the correlation between the dynamic attributes, so that the association accuracy and recall rate are improved.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a dynamic information association method. Background technique [0002] Participants in the information society (such as natural persons and companies) generate massive amounts of information every day, which may come from different systems, different collection times, and information from different systems. Example: Zhang San invested in company A, which is also a company B's specially-appointed expert, the sources of these two pieces of information may be from different systems. For example, the former is the information of the national enterprise credit information publicity system, and the latter may be from the official website of company B. Examples of information from different collection times: Financial institution C regularly inquires about the external liabilities of home loan user Li Si. At the end of June 2021, it was found that Li Si had a loan with a ...

Claims

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Application Information

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IPC IPC(8): G06F16/28G06F16/2455G06F16/21G06K9/62
CPCG06F16/288G06F16/2455G06F16/219G06F18/22
Inventor 倪伟渊袁轶慧陈康
Owner 江苏省联合征信有限公司
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