Page thermodynamic diagram generation method and system

Abstract

The invention provides a page thermodynamic diagram generation method. The page thermodynamic diagram generation method comprises the steps: generating a Dcoker mirror image at a first server side, and starting a Dcoker container; running the client simulator in the Dcoker container; running the first client in the client simulator; performing page screenshot operation on a page associated with the specified object in the first client; and snapshotting the plurality of intercepted pages, or splicing a first page which is spliced by a plurality of page snapshots and is the same as the page, sending the first page to a second server, wherein the second server can be used for splicing a second page which is the same as the page based on the plurality of page snapshots and adding online buriedpoint data on the second page so as to generate a page thermodynamic diagram about the specified object, or can be used for directly adding the online buried point data on the first page so as to generate the page thermodynamic diagram about the specified object. The invention further provides a page thermodynamic diagram generation system, another two page thermodynamic diagram generation methods and systems, a computer system and a medium.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and more specifically, to methods and systems for generating various page heat maps, a computer system, and a computer-readable storage medium. Background technique [0002] With the rapid development of big data and mobile Internet technology, data plays an increasingly important role in social development. Especially in the field of e-commerce, collecting and analyzing user behavior data such as browsing and clicking of users, and using big data analysis and mining technology, can make portraits of users, so as to realize accurate product recommendation and message push for different users. Allow users to quickly and easily reach their favorite products. At the same time, from the perspective of merchants, by analyzing user behavior data such as browsing and clicking, they can quickly understand the online sales / marketing effects of their products, and can better understand consu...

AI Technical Summary

Problems solved by technology

[0006] Therefore, the scheme of generating heat maps based on page snapshots provided by M station has the following problems: 1. A set of M station pages needs to be developed separately; 2. The M station pages and App pages need to be consistent

However, in the actual development process, due to different teams involved, different development iteration plans, and different technical implementation plans, it often occurs that the development of the M station page and the client page are not synchronized, and there are differences in page display and interaction styles, resulting in The final generated heat map display is incomplete, which is different from the App, which affects the merchant experience

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