Method and device for identifying behavior of user clicking to visit website

Abstract

The invention discloses a method for recognizing a behavior of clicking to access a website by a user. The method comprises the following steps of simulating that the user clicks to access a preset common URL (Uniform Resource Locator) in a browser by utilizing an extension program of the browser, and recording all request URLs generated in the behavior of accessing the preset common URL; filtering out the preset common URL clicked to access by the user in a simulation manner from all the request URLs, adding the rest URLs in a non-user accessed URL list; recognizing the behavior of clicking to access the website by the user based on the non-user accessed URL list. The invention also discloses a device for recognizing the behavior of clicking to access the website by the user. By using the method and the device for recognizing the behavior of clicking to access the website by the user, the recognition of the behavior of clicking to access the website by the user is lower in cost, and further, the recognition is more precise.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a method and device for identifying a user's behavior of clicking and visiting a website. Background technique [0002] In recent years, the proportion of HTTP protocol in network applications has gradually increased. On the one hand, more and more client applications also use HTTP protocol for data interaction; on the other hand, the improvement of front-end technology and browser performance has made users The browsed web pages no longer stay on the monotonous basic text pages, but turn to rich compound pages. As a result, the user's normal page access request is submerged in the massive noise data, which brings great troubles to the subsequent user behavior monitoring and analysis, and leads to deviations in behavior analysis. Therefore, it is necessary to identify and distinguish the user behavior when the user clicks on the browser and the non-user behavior generated by th...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing technologies give prefix and suffix blacklists based on human experience, and then use the blacklist to filter out non-human access parts in network requests, so as to identify the user's access behavior, but the blacklist obtained by human experience has limitations. Due to the shortcomings of a small number of sites, the scope is small, the investment of special personnel is required, the cost is high, and the update is slow, etc., which cannot adapt to the ever-changing rhythm of the Internet today.

In addition, in the existing technology, the blacklist of prefixes and suffixes can also be obtained after page analysis using crawler technology, but the use of crawler technology to obtain the blacklist of prefixes and suffixes has the problems of incomplete page analysis and poor coverage of sites. User access behavior identification is not accurate enough

[0004] Therefore, the existing methods for identifying user clicks to visit websites are costly and not accurate enough

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