Method and device for uniquely identifying user association

Abstract

The embodiment of the invention provides a method and device for uniquely identifying user association, and the method comprises the steps: obtaining an ID used by a current event, and judging whetherthe ID is registered or not; if judging that the ID is not registered, generating a first anonymous ID and a first unique identifier for the ID; when detecting that the first anonymous ID is registered, generating and logging in a first registration ID, associating the first anonymous ID with the first registration ID and using all behaviors of the user in a storage space corresponding to a firstunique identifier. Anonymous IDs and registration IDs are associated and bound, each client is allowed to have two IDs, the anonymous IDs can record the user behavior data under the condition that the user does not log in, the registration IDs record the user behavior data after the user logs in, and after the anonymous IDs and the registration IDs are associated and bound, the user behavior datarecorded by the two IDs are considered to be generated by the same user entity. Only one user is calculated during user correlation analysis, so that more accurate user tracking can be realized.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of user equipment and account association, and in particular to a method and device for uniquely identifying user association. Background technique [0002] The existing user device binding scheme is to associate user login information with the current device, to ensure that user information and user operation events can be correlated and queried, to confirm all user behaviors on the device, and to provide information for the funnel, retention, and operation involved in operations. User-related data such as Session provide query basis. [0003] The existing technology has the following disadvantages: (1) When the same user logs in to multiple devices, it is impossible to correlate the operation data when the new device is not logged in; (2) It is impossible to confirm the specific time when the user switches devices, which has a certain impact on the analysis; (3) ) When multiple platf...

AI Technical Summary

Problems solved by technology

[0003] The existing technology has the following disadvantages: (1) When the same user logs in to multiple devices, it is impossible to correlate the operation data of the new device when the new device is not logged in; (2) It is impossible to confirm the specific time when the user switches devices, which has a certain impact on the analysis; (3) ) When multiple platforms upload data, it cannot be completely classified as the same user event; (4) Once a user is associated with a device, it cannot be released. In theory, it is more reasonable to dynamically associate with device replacement.

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