9 results about "Page load time" patented technology

The present invention relates to systems, apparatus, and methods of using usage data to determine the dependency structures of a web application, including dependency structures between follow-on objects of an initial object in a web transaction. In one embodiment, an input URL and associated dynamic response data are analyzed for such nested or dependent relationships. In further embodiments, analysis of these relationships are used to improve prefetching operations to lower overall page load times.

A server computer system receives a set of Internet domain names and generates screenshots for user interfaces associated with the set of Internet domain names. The server computer system then trains machine learning modules that are customized for the set of Internet domain names using the screenshots. The server then transmits the machine learning modules to the computing device, where the machine learning modules are usable by an application executing on the computing device to identify whether a user interface accessed by the device matches a user interface associated with the set of Internet domain names. Such techniques may advantageously allow servers to identify whether user interfaces are suspicious without introducing latency and increased page load times.

The invention relates to the technical field of computers, and discloses a page preloading method and device, equipment, a storage medium and a product, and the method comprises the steps: extracting public resources according to resource tags in a page, and constructing a dependency graph based on a dependency relationship between the public resources; analyzing the reference condition of the public resource through the dependency graph to obtain a priority sequence; predicting the page jump probability of the target user under the current page based on a preset page jump probability matrix; and pre-loading the target page resource block according to the priority sequence, the page jump probability and the current network environment of the target user. Page switching is close to local application experience through dependency graph dynamic hierarchical loading, elimination of rendering blocking resources and behavior prediction preloading, resource importance, user behavior trends and network conditions can be planned as a whole, dynamic resource loading lag and weak network resource waste are avoided, the accuracy and efficiency of page preloading are improved on the whole, and the user experience is improved. Therefore, the page loading time is shortened, and the user experience is optimized.

The invention relates to the technical field of data processing, and discloses a page loading detection method and device, computer equipment and a storage medium in the fields of financial science and technology and medical health. The method comprises the steps of obtaining detection configuration information of a target loading page; determining at least two page detection points in the target loading page according to the detection configuration information, and obtaining detection point display information of each page detection point; when it is determined that the target loaded page has a page white screen problem based on the detection point display information of all the page detection points, performing page analysis processing on the target loaded page to obtain a white screen problem analysis result; and when the page loading time of the target loading page reaches a preset loading time threshold, generating problem reporting information according to the page loading time and the white screen problem analysis result, and sending the problem reporting information to a preset reporting receiver. According to the method and the device, the comprehensiveness and the accuracy of page loading detection are improved, and timely optimization of a loading problem is facilitated.

The invention provides a front-end testing method which can be applied to the technical field of artificial intelligence and software testing. The front-end testing method comprises the following steps: in response to operation of a first automatic testing script, acquiring loading index data of a front-end page in real time; wherein a pre-trained long-short-term memory network model is integrated in the first automatic test script; on the basis of the loading index data, predicting page loading time in real time by utilizing a pre-trained long-short-term memory network model; and dynamically determining a first waiting strategy according to the currently predicted page loading time, and performing front-end testing on the to-be-tested application based on the first waiting strategy. The invention further provides a front-end testing device and equipment, a storage medium and a program product.

This invention discloses a front-end page traffic splitting method, apparatus, electronic device, and storage medium, relating to the field of internet front-end technology. The method includes: acquiring and configuring experimental parameters through an operation management system, generating a multi-version configuration file, and pushing it to an Nginx server using a synchronization tool. When an access request arrives at Nginx, a Lua script deployed on the server reads the configuration file, performs traffic splitting according to preset logic based on the request information, and writes the results to the client's cookie, while simultaneously implementing direct redirection. A CDN caches multiple versions of HTML and static resources based on the traffic splitting results. During A / B testing, the operation management system can dynamically adjust the traffic splitting ratio based on real-time data, and new configurations are synchronized to Nginx in real time. The Lua script automatically loads the latest rules upon the next run, achieving flexible and efficient traffic splitting management. This invention effectively solves the problems of increased page loading time, client redirection white screens, and high development and maintenance costs associated with existing technologies.

This invention provides a method, apparatus, electronic device, and storage medium for detecting page load time. The method includes obtaining the loading start time of a loading page and the loading completion time of each view within the page, where the loading completion time of each view is the time it takes for the view to complete its rendering operation. The loading completion time of the last view to complete its rendering operation is taken as the loading end time of the loading page, and the difference between the loading end time and the loading start time is taken as the loading time of the loading page. This invention uses an automated detection method to replace manual data entry, reducing labor costs, without requiring intrusion into the program's internal structure, and can obtain accurate and complete page load data, providing data support for business optimization.

The present invention relates to systems, apparatus, and methods of using usage data to determine the dependency structures of a web application, including dependency structures between follow-on objects of an initial object in a web transaction. In one embodiment, an input URL and associated dynamic response data are analyzed for such nested or dependent relationships. In further embodiments, analysis of these relationships are used to improve prefetching operations to lower overall page load times.

This application provides a page performance optimization method, apparatus, electronic device, medium, and program product. The method includes: first, inputting information about resources to be loaded and an initial loading strategy into a duration prediction model to obtain a first predicted duration output by the duration prediction model; then, inputting the first predicted duration, information about resources to be loaded, and the initial loading strategy into a larger model to obtain multiple resource optimization loading strategies output by the larger model; next, inputting the multiple resource optimization loading strategies and information about resources to be loaded into a resource combination model to obtain a combination of resource optimization loading strategies output by the resource combination model; finally, applying the combination of resource optimization loading strategies to load the resources corresponding to the information about resources to be loaded onto the target page to optimize the target page. This method effectively reduces page loading time, reduces user waiting time, and improves the user experience.