Visible processing method, apparatus and system for web page access behavior of users

Abstract

The invention discloses a method for visually processing user behaviors of web page access. The method comprises: acquiring click data of the user side; calculating the access frequency of users on various regions in the web page according to the acquired click data; matching the access frequency of the users on the various regions in the web page with corresponding regions; and displaying the matching result. The invention simultaneously discloses a device and a system for visually processing the user behaviors of web page access. The embodiment of the invention can closely connect the relations between the attention degree of the users on content in the web page and corresponding content in the web page, and intuitively and clearly display the attention degree of the users on the content in the web page.

Description

technical field [0001] The present application relates to the technical field of computer networks, and in particular to a method, device and system for visual processing of user access to web pages. Background technique [0002] From the perspective of the purpose of enterprise website construction, the enterprise website is an important platform for the enterprise to promote and display the company's products and / or conduct online trade. However, the reality is that most enterprises do not have an intuitive and clear understanding of the effect of this platform, and they have no way of knowing the attention of each product displayed on the website. The lack of strong support for the publicity strategy greatly compromised the accuracy and timeliness of decision-making. [0003] At present, there are many ways to realize the statistics of the information attention of the enterprise website, such as analyzing the log data of the website and then summarizing and analyzing, or...

AI Technical Summary

Problems solved by technology

However, the reality is that most enterprises do not have an intuitive and clear understanding of the effect of this platform, and they have no way of knowing the attention of each product displayed on the website. The lack of strong support for the publicity strategy greatly reduces the accuracy and timeliness of decision-making

[0003] At present, there are many ways to realize the statistics of the information attention of the enterprise website, such as analyzing the log data of the website and then summarizing and analyzing, or using third-party software for statistics, and even directly adding tracking codes on the webpage for statistical analysis etc., but the results obtained by these methods are usually only a statistical analysis of the attention of the entire website or individual web pages, and cannot be used to make statistics on whether a certain area of ​​the web page, such as a certain product displayed on the web page, has received attention Therefore, in addition to bringing rigid data to decision makers, these methods also bring great pain to decision makers in the face of these data

[0004] That is to say, the shortcomings of these current methods are very obvious: not intuitive, unclear, and also put forward high requirements for readers of data reports

Moreover, the report data is separated from the product display platform, thus isolating the relationship between product attention and product display platform, which eventually leads to decision-making deviation or even errors

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