Abnormal advertisement flow detection method and system, computer equipment and storage medium
A flow detection and abnormality detection technology, applied in transmission systems, electrical components, etc., can solve problems such as inability to identify abnormal flow
Pending Publication Date: 2021-09-03
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
View PDF7 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] The embodiment of the present application provides a method, system, computer equipment, and storage medium for detecting abnormal advertising traffic, so as to at least solve the problem that emerging abnormal traffic cannot be identified in related technologies
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0060] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0061] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...
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
Login to View More Abstract
The invention relates to an abnormal advertisement flow detection method and system, computer equipment and a storage medium. The method comprises the following steps: a dimension reduction step: dividing high-dimensional advertisement flow data into a training set and a test set, and converting the training set into corresponding low-dimensional advertisement flow data features according to a T-SNE algorithm; an abnormity detection step: according to the advertisement flow data features, carrying out abnormal advertisement flow detection by using an LOF algorithm; and an effect evaluation step: performing testing according to the test set, performing effect evaluation by using the F1 score, and obtaining a final anomaly detection model. According to the method, the T-SNE algorithm is utilized to perform dimension reduction and maintain the capability of the local structure, then the LOF algorithm is utilized to perform abnormal advertisement traffic detection, the detection of emerging abnormal traffic is realized, and the detection result is evaluated through the F1 score to optimize the abnormal detection model.
Description
technical field [0001] The present application relates to the technical field of abnormal traffic detection, in particular to a detection method, system, computer equipment and storage medium for abnormal advertising traffic. Background technique [0002] As of December 2020, the number of netizens in my country was 989 million, and the Internet penetration rate reached 70.4%. Advertisement fraud, false traffic, and black and gray production problems associated with the online advertising market appear from time to time. Abnormal traffic has become a persistent disease in the digital marketing industry, not only causing huge economic losses for advertisers, but also seriously affecting advertising. The image and delivery quality of the platform have undermined the sound development of the Internet market. These problems will also lead to low-quality acquisition of a large number of new users, which will cost a huge amount of advertising investment, thereby affecting product...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1425
Inventor 祝彦森孙泽懿徐凯波
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD