A web data preloading method and system

Abstract

The invention belongs to the field of data loading, and discloses a web data preloading method and system, which can predict the hot area that the user may click next time, improve the user's experience when browsing page data; maintain front-background communication by establishing a long connection, The front desk is responsible for collecting and tracking user behavior data, and executing the prediction results of the background. The user behavior data collected by the front desk is regularly reported to the background, and the background uses the user's click behavior as a separator to process the periodically reported behavior data. The present invention uses machine learning to learn user historical behavior data, and according to local weighting algorithms such as time, user, page type, etc., predicts the hot area that the user may click next time, and notifies the front end to execute; the Web data preloading method provided by the present invention , to improve data loading speed, and more in line with user habits.

Description

technical field [0001] The invention belongs to the field of data loading, in particular to a web data preloading method and system Background technique [0002] With the development of emerging technologies such as the mobile Internet and the Internet of Things, user data has grown exponentially. As the amount of data increases, the page loading speed is getting slower and slower, and users need to spend more time waiting for the system to respond. [0003] Thanks to the application of caching technology, the data loading speed has been improved to a certain extent, but because the cache has a certain hit probability and timeliness, the data loading is sometimes fast and sometimes slow. It is difficult to provide users with a stable experience. [0004] Machine learning is the study of how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their performance. Util...

AI Technical Summary

Problems solved by technology

[0014] Aiming at the problems existing in the prior art, the present invention provides a method and system for preloading Web data. Using the feature of machine learning, the present invention can assign Web data preloading behavior to machine learning to predict, so as to solve the problem of traditional Web data preloading. In the case of large data, the loading speed is slow and the user experience is poor

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