Potential user identification method and device based on social platform data

A social platform and user technology, applied in special data processing applications, electronic digital data processing, character and pattern recognition, etc., can solve the problem that the identification of users with subdivided interests is easily interfered by other noises, the difficulty of identification, and the identification of users with subdivided interests. Lack of effective data training models, etc., to reduce the amount of data acquisition, improve recognition accuracy, and reduce labor costs

Active Publication Date: 2021-04-23
ANHEUSER-BUSCH INBEV (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, in image recognition, beer and small animals have obvious characteristic differences in shape, color, and material reflection. When it comes to the identification of different brands of high-end beer, their shapes and materials are usually very similar, and only some such as trademarks, etc. Differences in detail and therefore more difficult to identify
[0007] 4. There is a lack of effective data training model for subdivided interest user identification
[0008] 5. Segmented interest user identification is more susceptible to interference from other noises
The traditional anomaly detection algorithm assumes that the amount of data to be found is far greater than the amount of abnormal data, which increases the difficulty of abnormal data screening

Method used

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  • Potential user identification method and device based on social platform data
  • Potential user identification method and device based on social platform data
  • Potential user identification method and device based on social platform data

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Experimental program
Comparison scheme
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Embodiment 2

[0129] refer to Figure 4 , as an implementation of the above-mentioned potential user identification method based on social platform data, the present application provides an embodiment of a potential user identification device based on social platform data, which is the same as figure 2 The method embodiments shown correspond.

[0130] Such as Figure 4 As shown, the potential user identification device based on social platform data in this embodiment includes: a pre-extraction module 10, an image classification module 20, an abnormal data detection module 30 and a potential user identification module 40, wherein,

[0131] Pre-extraction module 10, for pre-extracting the data obtained from social platform based on the white name word table and / or the first black name word table, obtain unlabeled post collection T and unlabeled image collection I;

[0132] The image classification module 20 is used to use the trained N image classification models to perform image classific...

Embodiment 3

[0138] Figure 5 A schematic structural diagram of a computing device provided by another embodiment of the present application is shown. Figure 5 The displayed computing device 50 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present application.

[0139] Such as Figure 5 As shown, computing device 50 takes the form of a general-purpose computing device. Components of computing device 50 may include, but are not limited to: one or more processors or processing units 500 , system memory 516 , bus 501 connecting various system components including system memory 516 and processing unit 500 .

[0140] Bus 501 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These architectures include, by way of example, but are not limited to Industry...

Embodiment 4

[0148] Another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method provided in the first embodiment above is implemented.

[0149] In practical applications, the computer-readable storage medium may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash mem...

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Abstract

One embodiment of the invention discloses a potential user identification method and device based on social platform data, and the method comprises the steps: S10, carrying out the pre-extraction of data obtained from a social platform based on a white list vocabulary and/or a first black list vocabulary, and obtaining a label-free post set T and a label-free image set I; S20, performing image classification on the image set I by using N trained image classification models to obtain a first score of a user corresponding to the image set I, wherein N is greater than or equal to 2; S30, obtaining a second score of the user corresponding to the post set T based on abnormal user data detection; S40, obtaining a potential user score based on the first score and the second score. According to the method, the potential users are obtained by pre-extracting the social data, and only the key social data in the user subsets possibly interested in brands are collected to identify the interests of the users, so the data obtaining amount and unnecessary data obtaining overhead are reduced on a large scale.

Description

technical field [0001] This application relates to the field of data mining. More specifically, it relates to a potential user identification method, device, computing device and storage medium based on social platform data. Background technique [0002] There are massive amounts of data in social platform data, from which the potential interests of users can be mined. Existing data mining, image recognition, and natural and processing technologies can better tap some general interests of users, such as food, beauty makeup, and music. In the existing technology, neural networks can be used to embedding user texts and extract user interests, or use user text information and user interaction relationships to mine user interests, or extract semantic features from text and images for a certain user's historical microblog graphics , and identify user interest tendencies through these features. [0003] In practical applications, there is a fine-grained interest mining of users...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/9536
CPCG06F16/9536G06F18/241G06F18/214Y02D10/00
Inventor 韩天奇卢铮
Owner ANHEUSER-BUSCH INBEV (CHINA) CO LTD
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