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Target behavior recognition system

A technology for identifying systems and behaviors, applied in the computer field, can solve the problems of low efficiency in identifying target behaviors and heavy workload of user feature review, and achieve the effects of improving recognition efficiency and accuracy, reducing calculations, and widely using value

Active Publication Date: 2021-06-22
北京云真信科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the advent of the era of big data, the number of user characteristics and types of data is huge, which will result in a heavy workload for manual screening of user characteristics corresponding to target behaviors and auditing, and low efficiency in identifying target behaviors

Method used

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Embodiment Construction

[0016] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation and effects of a target behavior recognition system proposed according to the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments. The description is as follows.

[0017] Embodiments of the present invention provide a target behavior recognition system, such as figure 1 As shown, it includes a pre-built first database, a second database and a processor, and a memory storing a computer program, wherein the first database is used to store user feature records, and the user feature record fields include users and corresponding Preset M feature information (C1, C2, ... CM); the second database is used to store the record of the sample target behavior, and the fields of the sample target behavior record include a sample user id and a target beh...

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Abstract

The invention relates to a target behavior recognition system. The system is realized through the following method: S1, selecting P first sample users i < d > from a second database to form a training sample i < d > set, and obtaining preset M pieces of feature information of each first sample user i < d > from a first database; s2, selecting first feature information based on the contribution degree of each piece of feature information in preset M pieces of feature information corresponding to the P first sample users i d to the target behavior; s3, acquiring first feature information corresponding to each first sample user from the first database, and constructing a first feature vector, S4, acquiring the first feature information of the to-be-tested user i d from the first database, and constructing a corresponding first feature vector; and S5, obtaining a vector distance between the first feature vector of the user i d to be detected and the first feature vectors corresponding to all the first sample users i d, and determining a behavior category label to which the user i d belongs. The system improves the recognition efficiency and accuracy of the target behavior.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a target behavior recognition system. Background technique [0002] At present, the traditional identification technology of target behavior mainly relies on manual feature screening and analysis of persons who have been confirmed to have target behavior records in history, establishes a variety of judgment rules, and predicts whether the user to be identified has target behavior through the judgment rules. However, with the advent of the era of big data, the number and types of user characteristics are huge, which will result in a heavy workload for manual screening of user characteristics corresponding to target behaviors and review, and low efficiency in identifying target behaviors. In addition, artificially established judgment rules tend to have more interpretable features, while non-interpretable features are often easily ignored, but some non-interpretable features also...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9035G06F16/9038G06F16/901
CPCG06F16/9035G06F16/9038G06F16/901Y02D10/00
Inventor 朱金星张静雅段力阁
Owner 北京云真信科技有限公司
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