Page rendering method, device and equipment and computer readable storage medium

Abstract

The embodiment of the invention provides a page rendering method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining a selection operation for any operable button in a current page; in response to the selection operation, obtaining a page frame template preloaded for the operable button and abstract data of the current page; rendering the abstract data into the page frame template to obtain a second-level page, corresponding to the operable button, of the current page; and displaying the second-level page. According to the method and the device, the second-level page can be displayed after skipping with the minimum memory occupation and resource consumption, waiting is not needed, and therefore the use experience of a user is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of the Internet, and relate to, but are not limited to, a page rendering method, device, device, and computer-readable storage medium. Background technique [0002] Page preloading is a commonly used technical method when loading pages in mobile applications. Page preloading can optimize loading speed, speed up response time, and enhance user experience. [0003] At present, the solution when implementing page preloading is usually: when the mobile application is started, multiple web view containers are pre-created. When the first page is loaded, if there is a certain next page, such as a list page Scenarios, or certain secondary pages, such as a scene where there is only one click to jump to the page, use the created web view container to immediately load the next page or secondary page in the background, when the user clicks to jump or clicks on the next page , you can move th...

AI Technical Summary

Problems solved by technology

[0004] However, if you predict which secondary page the user may click on through the analysis of user behavior habits and then do preloading, firstly, the prediction accuracy cannot reach 100%, and there is no good effect of speeding up the page opening speed; secondly, The accuracy of prediction depends on the accumulation of user behavior and the continuous optimization of the algorithm. The cost of algorithm implementation is relatively high, and the accuracy will be very low when there is no data accumulation for new users. If in order to improve the accuracy of prediction, multiple predictions Loading several pages with high probability will cause the overall performance consumption and resource consumption of the mobile application to be relatively large, which will easily cause problems such as freeze and insufficient memory

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