Method and apparatus for processing task for live stream, device, medium and product

By managing component loading in the task queue of the live streaming room and controlling execution based on sliding interaction detection, the problems of resource waste and poor user experience in the live streaming interface are solved, achieving more efficient resource utilization and faster first-screen display.

WO2026129851A1PCT designated stage Publication Date: 2026-06-25BEIJING ZITIAO NETWORK TECH CO LTD

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
BEIJING ZITIAO NETWORK TECH CO LTD
Filing Date
2025-10-22
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

In the live streaming interface, when users swipe to switch between live streaming rooms, the loading of components and the initial display result in wasted computing resources and a poor user experience, especially the latency and resource contention issues caused by the top three rows of components relying on network interface returns.

Method used

After a user enters the target live streaming room, the component loading task is added to the task execution queue, and the execution of the loading task is controlled by the swipe interaction detection to reduce unnecessary component loading. Priority sorting and queue management ensure efficient use of resources.

Benefits of technology

It reduces the waste of computing resources in scrolling scenarios, shortens the first screen display time, and improves user experience and resource utilization.

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Abstract

The embodiments of the present disclosure relate to a method and apparatus for processing a task for a live stream, a device, a medium and a product. The method comprises: in response to entering a target live stream, acquiring a loading task of a set of components related to the target live stream. The method further comprises adding the loading task for the set of components to a task execution queue for the target live stream. The method further comprises controlling the execution of the loading task in the task execution queue on the basis of the detection of the sliding interaction for the target live stream.
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