15 results about "Event tracking" patented technology

Systems and methods for event tracking are disclosed. In one aspect, a set of venues is generated. A set of events that have occurred at one or more venues in the set of venues may be generated. One aspect includes querying a user media database associated with a user, and extracting metadata from one or more media files in the user media database. A match between at least a portion of the metadata and one or more events from the set of events may be determined. In an aspect, responsive to the determining, an entry in a matched events database corresponding to the match is created. A list of events attended by the user may be prepared. The list of events may include the matched events.

This application relates to the field of sports event tracking and filming technology, and discloses a method and system for sports event tracking and timing filming. The method includes: analyzing the real-time status of participants based on real-time data collected from at least two mobile high-speed cameras and real-time timing data of the event to obtain real-time status information; calculating the probability of participants at each position based on the real-time status information to construct a set of position distribution probability pipelines; analyzing the coverage value of cameras at different positions on each position distribution probability pipeline in the set of position distribution probability pipelines, and selecting the camera combination with the optimal coverage value; analyzing the real-time status information of participants, assigning at least one tracking role and tracking target to each camera in the camera combination to obtain a tracking and filming strategy; and controlling the corresponding camera to perform target tracking according to the tracking and filming strategy. This application can improve the success rate of capturing moments such as overtaking and sprinting of participants, and improve the quality of tracking and filming.

This application provides a data annotation-based event tracking method and event tracking data processing method. In response to event tracking operations, the data annotation process is processed to obtain multiple target event tracking points; event tracking data collected at the target event tracking points is acquired; and the event tracking data is sent to a server, which instructs the server to determine a data analysis report based on the event tracking data. The technical solution provided by this application, by processing the data annotation process to obtain multiple target event tracking points and collecting event tracking data at these multiple target event tracking points, obtains event tracking data with high granularity and dimensionality, ensuring the stability of the data annotation service during event tracking data collection and resulting in more accurate data analysis reports determined based on the event tracking data.

Systems and methods for event tracking are disclosed. In one aspect, a set of venues is generated. A set of events that have occurred at one or more venues in the set of venues may be generated. One aspect includes querying a user media database associated with a user, and extracting metadata from one or more media files in the user media database. A match between at least a portion of the metadata and one or more events from the set of events may be determined. In an aspect, responsive to the determining, an entry in a matched events database corresponding to the match is created. A list of events attended by the user may be prepared. The list of events may include the matched events.

This application belongs to the field of front-end multi-application integration, and presents a method for dynamic registration and exception monitoring of sub-applications based on micro-frontends. First, detailed sub-application information is configured in the management center, and dynamic menu routes are generated based on this information. Then, sub-applications are filtered according to their current status, enabling dynamic registration. When a sub-application menu is clicked, the route changes, automatically triggering route matching rules. After the sub-application is mounted, the user is redirected to the corresponding sub-application page. Finally, event tracking is implemented in the sub-applications to enable global exception capture. When a front-end exception occurs in a sub-application, it is automatically captured, and the sub-application information and error logs are reported to the main application. The main application processes the error logs and stores them in the database. This effectively avoids the complex operation of modifying configuration files when integrating sub-applications, while also enabling visual management of sub-application status and reducing the workload of operation and maintenance management of the micro-frontend architecture.

The embodiment of the application provides a kind of program performance bottleneck automatic analysis method and system, it is related to application research and development technical field.The method can respond to the program running instruction input by user, based on target program path, run target program, then according to monitoring parameter setting performance analysis tool data acquisition strategy, and in target program running process, according to data acquisition strategy, monitoring data is obtained from event tracking interface.After target program ends, based on analysis algorithm and monitoring data, calculate key performance parameters, then according to result output mode and key performance parameters, generate structured report.Data acquisition strategy includes the counting object of performance counter and process filtering rule.The method can automatically call event tracking interface to complete performance data acquisition and analysis by user specified analysis rule, and real-time output performance bottleneck analysis result, can reduce the complexity of program performance analysis operation, improve program performance analysis efficiency.

The regression testing method, apparatus, storage medium, and computer equipment provided in this application, upon receiving test instructions, determine the test cases and the new and old versions of the application participating in the test, and record the event tracking datasets of the new and old versions of the application respectively during the execution of the test cases. By performing noise reduction processing on these datasets, non-business interference factors are effectively removed, allowing data comparison to focus on real business behavior, thus improving data comparability and analytical accuracy. Subsequently, the event tracking datasets of the new and old versions are precisely aligned according to the same business events based on business keywords, ensuring semantic consistency of the comparison. Finally, through automated intra-group data comparison and difference report generation, it is possible to quickly identify cases of added, missing, or abnormal event tracking. This significantly reduces the degree of manual intervention and the risk of error omissions while ensuring coverage, not only improving testing efficiency but also enhancing the reliability of test results.

Systems and methods for conditional asset transfers based on outcomes of events are provided. An event-based transfer system stores a record for a conditional asset transfer based on an outcome of an event based on a corresponding request. The system monitors information sources and / or feeds (e.g., of sensors, news sources, social media, etc.) to monitor and / or track the status of the event. The system determines when the outcome of the event becomes settled, and determines, based on the record, a direction of the conditional asset transfer based on the settled outcome of the event. The system automatically alerts user device(s) of user(s) participating in the transfer, and automatically facilitates processing of the transfer of the asset in the direction based on the settled outcome.

This invention discloses a method and apparatus for processing event tracking data, relating to the field of application development technology. One specific embodiment of the method includes: obtaining a unique business identifier carried in the event tracking data reported by a business request; storing the unique business identifier and the event tracking data correspondingly in an event tracking data source; determining the first event tracking data entry of the business request and storing its reporting timestamp in a monitoring queue; determining that event tracking data reporting is complete when the time interval between the reporting timestamp in the monitoring queue and the current timestamp exceeds a set time threshold; and further obtaining and analyzing each event tracking data corresponding to the unique business identifier from the event tracking data source. This invention improves the completeness, efficiency, and accuracy of event tracking data processing.

This application discloses a front-end event tracking automated testing method, apparatus, device, and storage medium. The method includes: upon receiving a test task for the event tracking function of a browser service, determining the target test case for the test task; based on the event tracking operation field in the target test case, interacting with the browser to perform event tracking operations, obtaining network request data corresponding to the event tracking operation interaction, and storing the network request data and corresponding event tracking operation in the database of a preset event tracking tool; determining the field to be judged in the target test case, and judging whether the network request data contains response data corresponding to the field to be judged; if the network request data contains response data corresponding to the field to be judged, determining that the test result of the test task is successful. This application improves the efficiency of event tracking testing.

A full event tracking method and apparatus for pages, a computer device, and a storage medium are provided. A computer device may obtain Native pages of an application program of a mobile terminal and a system operating environment. The computer device may also detect a number of React Native pages included in the Native pages. In addition, the computer device may generate, based on the number of React Native pages and the system operating environment, a page view event tracking of entering the React Native page and a page leave event tracking of leaving the React Native page.

According to embodiments of this disclosure, a method, apparatus, device, storage medium, and program product for content recommendation are provided. The method includes: in response to an interaction trigger on a page, binding at least one page element to be monitored with corresponding element information based on an element relationship table configured for multiple services, wherein the element relationship table at least indicates element information, the page to which the page element belongs, and position information within the respective page for each of the multiple page elements to be monitored for the multiple services, and the element information of each page element includes at least event tracking information and service information; during page interaction, based on the binding, acquiring interaction information for each of the at least one page element when an interaction operation on the at least one page element is detected; and in response to performing content recommendation for a user, acquiring a set of recommended content items associated with at least one of the multiple services.

This application discloses a full-link intelligent event tracking system and method, relating to the fields of game development and data analysis technology. The system includes: a large model scheme generation module, a scheme review and management module, an IDE integrated development assistant module, and an MCP server. This application constructs a bidirectional direct gRPC connection channel between the "IDE-built-in MCP client" and the "independently deployed backend MCP server," placing data verification at the coding stage and significantly shortening the problem feedback cycle. Combined with a standardized scheme for large model generation and a dynamic rule engine, it constructs a full-link automated closed loop from scheme design and automatic code generation to real-time verification and feedback optimization, significantly improving event tracking development efficiency and data quality. Furthermore, it achieves intelligent data governance through a continuous learning mechanism.

This application belongs to the field of big data and relates to a method for processing event tracking data. The method includes: when a business operation triggered by a target user on a target page is received, determining whether the current environment corresponding to the target page is a mini-program environment; if so, obtaining a target user identifier corresponding to the target user and a target main session identifier corresponding to the target user identifier; obtaining target initial parameters corresponding to the target main session identifier; obtaining target event tracking data collected when the target event is executed on the target page; constructing target business analysis data based on the target initial parameters and the target event tracking data; and constructing a target data report based on the target business analysis data. This application also provides an event tracking data processing device, a computer device, and a storage medium. Furthermore, this application relates to blockchain technology, and the target data report can be stored in the blockchain. This application reduces event tracking bandwidth costs and improves the generation efficiency of target data reports.

The method, apparatus, storage medium, and computer equipment for generating event tracking information provided in this application, upon receiving an information generation instruction, acquire test logs and associated event tracking business documents, avoiding the tedious process of manual multi-source queries. Then, the test logs are parsed to extract basic event tracking information and parameter fields. Using a pre-defined event tracking analysis model, the extracted basic event tracking information and parameter fields are searched and matched within the associated event tracking business documents to obtain supplementary event tracking information, effectively solving the problems of information inconsistency and omission. Finally, by structurally integrating the basic event tracking information, parameter fields, and supplementary event tracking information, complete and standardized event tracking definition data is formed and stored in a unified management system, establishing a single, reliable data source, thereby improving the efficiency of subsequent data analysis and the reliability of conclusions.