Identification method and device

An acquisition method and identification technology, applied in the computer field, can solve the problems of low identification accuracy, and achieve the effect of improving the accuracy and obtaining a wide range of ways.

Active Publication Date: 2021-12-17
TENCENT TECH (SHENZHEN) CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a method and device for obtaining a logo, so as to at least solve the technical problem of low accuracy in obtaining a logo for training in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Identification method and device
  • Identification method and device
  • Identification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] In an embodiment of the present invention, an embodiment of the method for obtaining the above identifier is provided. As an optional implementation, the identification acquisition method can be applied, but not limited to, such as figure 2 In the application environment shown, the server 202 is configured to obtain the identifier corresponding to the predetermined operation from multiple data sources, obtain the initial identifier from the identifier according to the characteristic information of the identifier and preset characteristic words, and obtain the initial identifier from the identifier according to the characteristic information of the identifier and the predetermined Assume that the characteristic word obtains the initial identification from the identification, and obtains the first target identification from the initial identification; among them, the account corresponding to the identification and the operations performed by the account are recorded in th...

Embodiment 2

[0102] According to an embodiment of the present invention, there is also provided an identification acquisition device for implementing the above identification acquisition method, such as Figure 4 As shown, the device includes:

[0103] 1) The first obtaining module 42 is configured to obtain the identification corresponding to the predetermined operation from multiple data sources, wherein the account corresponding to the identification and the operations performed by the account are recorded in the target data source included in the multiple data sources ;

[0104] 2) The second obtaining module 44 is used to obtain the initial identification from the identification according to the characteristic information of the identification and preset characteristic words, wherein the characteristic information is used to represent the characteristics of the predetermined operation;

[0105] 3) The determination module 46 is configured to determine the characteristic parameters of...

Embodiment 3

[0163] The application environment of the embodiment of the present invention may be, but not limited to, refer to the application environment in Embodiment 1, which will not be repeated in this embodiment. The embodiment of the present invention provides an optional specific application example for implementing the above identifier acquisition method.

[0164] As an optional embodiment, the method for obtaining the above identification can be applied, but not limited to, such as Figure 10 In the scenario where the identity is obtained as shown. Multiple data sources provide data for the server, and the server obtains the first target ID and the second target ID according to the data obtained from the data source, and then performs prediction model training according to the first target ID and the second target ID, and the training is completed. The prediction model of the system screens out the identifiers of the resources to be pushed from all the identifiers, and pushes t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an identification acquisition method and device. Among them, the method includes: obtaining the identification corresponding to the predetermined operation from multiple data sources; obtaining the initial identification from the identification according to the characteristic information of the identification and preset characteristic words; determining the characteristic parameters of the initial identification according to the preset weight and characteristic information ; Acquire the first target identifier from the initial identifier, where the first target identifier is a set of identifiers whose characteristic parameters are higher than the preset parameters in the initial identifier. By adopting the above technical solution, the technical problem of low accuracy in obtaining the marks used for training in the prior art is solved.

Description

technical field [0001] The present invention relates to the field of computers, and in particular, to a method and device for acquiring an identifier. Background technique [0002] In many recommendation fields, such as advertising recommendation, game recommendation, video recommendation, news recommendation, etc., it is often necessary to allocate resources to users in a specific field (targeted users) to improve the effect of resource delivery, and mining of targeted users usually uses training The way of predicting the model, including LR (Logistic Regression), RF (Random Forest), GBDT (Gradient Boosting Decision Tree), etc., and the key to the effect of any of the above models is to select training samples during its training phase (it can be the user's logo), that is, whether the selection of positive and negative samples is accurate enough. The usual way to obtain real positive samples is to obtain real and reliable positive sample data based on CRM (customer relatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0631
Inventor 袁小燕
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products