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Multi-data-source user information integration method and device

A multi-data source and user information technology, which is applied in special data processing applications, market data collection, electronic digital data processing, etc., can solve problems such as association identification of multi-data source users, and achieve the effect of solving user identification problems

Active Publication Date: 2018-10-16
BEIJING GRIDSUM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technical effect described in this patented technology allows for efficient integrating different types of sources' users identifier(s) together without requiring manual effort or extra equipment. This helps improve security measures against unauthorized accesses on networks like intranets.

Problems solved by technology

Technological Problem: Current internet usage requires that each person uses their own unique identifier called IP address during communication sessions across various networks. Users may use devices from several providers simultaneously but only work within specific borders around them. Additionally, there exist many scenarios where it becomes difficult to determine who should receive services because people frequently change location while accessing websites over time. Existing solutions require manual input by human agents, making it hard to manage large amounts of data efficiently.

Method used

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  • Multi-data-source user information integration method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] Embodiment 1 of the present invention provides a multi-data source user information integration method, which is suitable for data management platforms or fields where multi-channel user integration needs are required, and aims to integrate multiple data sources through a set of better integration and identification logic The ID information of the ID map is included in the ID map, so that through the continuous integration and association of ID information from multiple data sources in the ID map, it provides convenience for subsequent precision marketing, crowd portrait analysis, or association identification of multi-data source users in personnel tracking scenarios.

[0059] refer to figure 1 Shown is a flowchart of a method for integrating user information from multiple data sources, the method may include the following steps:

[0060] Step 101. Obtain ID information to be integrated provided by a data source to be integrated among multiple data sources, and the ID ...

Embodiment 2

[0092] In the second embodiment, refer to figure 2 The flow chart of the method for integrating user information from multiple data sources is shown, and the method may also include the following steps:

[0093] Step 201. If there is no internal ID entry matching the first ID entry to be integrated, generate a new primary key for the first ID entry to be integrated, and combine the first ID entry to be integrated with the The association relationship between the new primary keys is added to the ID map.

[0094] Specifically, if there is no internal ID entry matching the first ID entry to be integrated in the ID map, it means that the associated information of the first ID entry to be integrated in multiple data sources has not been established in the ID map, Based on this, a new primary key can be generated and issued for the unmatched first ID entry to be integrated, and the association between the first ID entry to be integrated and the new primary key is added to the ID m...

Embodiment 3

[0097] In the third embodiment, refer to image 3 The flow chart of the method for integrating user information from multiple data sources is shown, and the method may also include the following steps before the step 102:

[0098] Step 301, when there are more than one ID entries to be integrated, determine whether there is a field value in the more than one ID entries to be integrated that will cause the association of multiple ID entries to be integrated beyond a predetermined number, and the The field value is the value of the non-unique user identification field;

[0099] Step 302, if it exists, perform abnormality detection on the plurality of ID entries to be integrated caused by the field value, and discard the field value in the non-abnormal ID entry to be integrated when no abnormality is detected ; When an exception is detected, discard the abnormal to-be-integrated ID entry.

[0100] This embodiment provides a solution for abnormal handling of the ID items to be i...

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Abstract

The invention discloses a multi-data-source user information integration method and device. According to the method, when a to-be-integrated ID entry is matched with more than one main key in an ID graph, that is, the to-be-integrated ID entry is matched with more than one internal ID entry in the ID graph, a first target main key in highest correlation with the to-be-integrated ID entry is determined from the main keys according to a first preset evaluation mode, then the to-be-integrated ID entry is integrated into the internal ID entry corresponding to the first target main key, and finallythe to-be-integrated ID entry matched with the main keys/internal ID entries in the ID graph is effectively integrated and correlated into the ID graph. Therefore, the problem that such kind of entries (like the to-be-integrated entry matched with multiple internal ID entries in the ID graph) cannot be effectively integrated and normalized in the prior art is solved, and based on this, user recognition of multiple data sources can be further realized effectively.

Description

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Claims

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Application Information

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Owner BEIJING GRIDSUM TECH CO LTD
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