Method and device for collecting operation behavior information of front-end user

Abstract

The invention provides a method and a device for collecting operation behavior information of a front-end user, which can be used in the field of big data or other fields, and the method comprises the following steps: after the front-end user opens a set webpage, a client calls a monitor call link of a page head part of the set webpage, and loads a first event monitor to collect operation behavior information of a front-end user; the client sends the operation behavior information to a server, so that the server collects the operation behavior information of the front-end user; according to the operation behavior information collection method, only one calling link needs to be introduced into the page head part of the webpage to load and call the monitor, information to be collected can be flexibly configured according to user requirements, compared with an industrial scheme, the method has the advantages that the characteristics of a code burying point scheme and a non-burying-point scheme are balanced, additional choices are provided for the user, and meanwhile, the method is relatively low in code invasiveness, has most advantages of a non-burying point scheme and also has code burying point accuracy.

Description

technical field [0001] The present application relates to the field of big data, and specifically relates to a method and device for collecting operation behavior information of front-end users. Background technique [0002] For product designers, it is very important to realize the products that users need and continuously optimize them according to user habits. Therefore, it is particularly important to understand how users use products, which functions stay the longest, what behaviors occur, and what abnormalities they encounter. important. The industry usually collects user habits through data burying. By analyzing the collected data, designers can understand user behavior paths and establish user portraits to guide product optimization. At present, the buried point solutions in the industry are mainly divided into the following two categories: no buried point and code buried point. As the name implies, all behavior information of mobile phone users is reported and scr...

AI Technical Summary

Problems solved by technology

As the name implies, all behavior information of mobile phone users is reported and screened in a unified manner, which eliminates the need to bury points at specific operation codes, and brings the problem of collecting more and messy data, which greatly improves data screening and behavior identification. It has brought a lot of difficulties; the code burying point is the opposite of no burying point, and the corresponding burying point code needs to be written at each behavior that needs to be collected. Although this can accurately collect the required information, it needs to be in the code Write a large amount of information collection logic, which is highly intrusive to the code, especially the access cost of stock applications is very high

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