Method and device for predicting resident address of user, electronic equipment and storage medium

A technology for predicting location and address, which is applied in the Internet field and can solve the problems of sparse user location track data and low accuracy of resident addresses

Active Publication Date: 2021-11-26
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing technology mining schemes for resident addresses are mainly based on user location trajectory information of a single platform. Since most user location trajectory data accumulated by a single platform are very sparse, and data from other platforms cannot be introduced due to privacy protection, resident address prediction is less accurate

Method used

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  • Method and device for predicting resident address of user, electronic equipment and storage medium
  • Method and device for predicting resident address of user, electronic equipment and storage medium
  • Method and device for predicting resident address of user, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] A method for predicting a user's resident address provided in this embodiment, such as figure 1 As shown, the method includes: step 110 to step 160.

[0032] Step 110: Obtain the location to be predicted corresponding to at least one user identifier, and obtain a first statistical feature corresponding to the user identifier and the location to be predicted, and determine the user identifier and the location to be predicted as the first statistical feature of the first statistical feature feature identifiers to obtain the first set of feature identifiers.

[0033] The method for predicting the user's resident address provided by the embodiment of the present application can be triggered based on a preset trigger time, for example, triggered once every other month, or once every other week, or can also be triggered based on other trigger conditions. When predicting the resident address of a user, it is generally to predict the location data of all users within a certain...

Embodiment 2

[0094] A device for predicting a user's resident address provided in this embodiment, such as Figure 4 As shown, the prediction device 400 of the user's resident address includes:

[0095] The data acquisition module 410 is configured to obtain a location to be predicted corresponding to at least one user identifier, and obtain a first statistical feature corresponding to the user identifier and the location to be predicted, and determine the user identifier and the location to be predicted as the first statistical feature The first feature identifier of the feature to obtain the first feature identifier set;

[0096] An identification encryption module 420, configured to respectively encrypt the first feature identifications in the first set of feature identifications using an irreversible encryption algorithm to obtain a first encrypted set of feature identifications;

[0097] The identification set receiving module 330 is configured to receive the second encrypted feature...

Embodiment 3

[0130] The embodiment of the present application also provides an electronic device, such as Figure 5 As shown, the electronic device 500 may include one or more processors 510 and one or more memories 520 connected to the processors 510 . The electronic device 500 may also include an input interface 530 and an output interface 540 for communicating with another device or system. Program codes executed by processor 510 may be stored in memory 520 .

[0131] The processor 510 in the electronic device 500 invokes the program code stored in the memory 520 to execute the method for predicting the user's resident address in the above-mentioned embodiment.

[0132] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the method for predicting a user's resident address as described in Embodiment 1 of the present application are implemented.

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Abstract

The embodiment of the invention discloses a user resident address prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-predicted position corresponding to at least one user identifier, obtaining a first statistical feature, and determining first identifiers of the first statistical feature; respectively encrypting the first identifiers to obtain a first encryption set; receiving a second encryption set sent by other joint prediction platforms; determining an intersection of the two encryption sets, generating a new identifier corresponding to each piece of data in the intersection, and sending a corresponding relationship between the second encryption identifier and the new feature identifier to other joint prediction platforms; processing a first statistical feature corresponding to the new feature identifier through a first bottom layer sub-model to obtain a first vector, and receiving a second vector corresponding to the new feature identifier sent by other joint prediction platforms; and performing resident address prediction on the first vector and the second vector through an upper-layer model to obtain a resident address prediction result. The prediction accuracy can be improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of the Internet, and in particular to a method, device, electronic device, and storage medium for predicting a user's resident address. Background technique [0002] The food delivery business is developing in the direction of scene-based recommendation. Resident addresses such as work and residence are the most important food delivery scenarios for users. It is very important to accurately describe the user's permanent address for the food delivery business. [0003] In the prior art, when predicting the user's resident address, the location associated with the user is mainly found through the location trajectory data, and then statistical features are generated based on the user's positioning data at the location, and the statistical features are input into the model, and the model is used to judge the location. Whether the location is a resident address. [0004] Existing tech...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9537G06F21/60
CPCG06F16/9537G06F21/602
Inventor 苏照杰刘家骅胡懋地
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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