Flow early-warning method based on website user access path

Abstract

The invention relates to a flow early-warning method based on a website user access path. The flow early-warning method comprises the following steps of: (1), weekly summarizing the flow of a certain total access path of a user so as to obtain a data flow matrix of the total week number, wherein a vector P represents a certain access path; a flow matrix PV represents the flow corresponding to the path; various rows of the PV represent the flow of various steps of a certain week path; various columns of the PV represent the flow of a certain step in the access path; and PVij represents the flow of the jth step in the ith week; (2), calculating variable coefficients of various steps of the path, wherein the value is the ratio of the standard deviation of the original data to the average number; and, for the flow matrix PV, variable coefficients of various columns thereof are calculated; (3), weighting and averaging the variable coefficients, wherein after the variable coefficients of various steps in the access path are calculated, the variable coefficients of the whole path can be given; the variable coefficients of various steps are selectively weighted; and weights are averagely distributed; and (4), early warning, and setting an early-warning threshold value to 15%.

Description

technical field [0001] The invention relates to the field of website traffic early warning, in particular to a traffic early warning method based on website user access paths. Background technique [0002] Website traffic early warning means that during the operation of the website system, when the traffic index exceeds the warning threshold, by sending alarm information to relevant personnel, relevant personnel can participate in time, find out the reason for the sudden change of traffic, and conduct some targeted monitoring of the website. Adjustments and optimizations. [0003] The present invention hopes that through the early warning of the flow of the user's access path, the flow of which paths have obvious fluctuations can be known in time, and the cause of the fluctuation can be checked in time. For example, the website may optimize or adjust the structure of a certain page module for a specific path. If the traffic of the path has an upward trend, then the changes ...

AI Technical Summary

Problems solved by technology

For example, the website may optimize or adjust the structure of a certain page module for a specific path. If the traffic of the path has an upward trend, then the changes to the webpage will have a positive effect; if the traffic of the path has If there is a downward trend, then there is a reaction; if the flow of the path does not fluctuate greatly, then the adjustment has no obvious effect and further improvement is needed

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