Live Streaming App Push Notification Mechanism for Trending Topics
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Solution Overview
Problem
Existing live streaming applications lack a mechanism to effectively guide users to go live on trending or popular topics, resulting in a suboptimal user experience.
Innovation Solution
The proposed solution involves a live streaming method and device where a server determines the popularity of user-submitted creations and sends push information to clients when a creation's popularity meets preset criteria, prompting users to go live with the trending content as a topic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a live streaming application provides basic functionality without guidance mechanisms, then the device complexity remains low, but user engagement and experience deteriorate due to lack of direction on trending topics
Solution Approach 1:
The server acts as an intermediary between users and trending content. It monitors creation popularity, determines hot topics, and sends push notifications to guide users to go live on trending subjects. This mediator approach improves user guidance without significantly increasing client-side complexity.
Solution Approach 2:
The system implements feedback by tracking creation play counts and popularity metrics, then using this information to send targeted push notifications to users. This feedback loop enables the system to adaptively guide users toward trending topics based on real-time popularity data.
2Productivity
If the system monitors and tracks all user creations for popularity determination, then user engagement improves through targeted push notifications, but data processing requirements and system resource consumption increase
Solution Approach 1:
The system monitors creation popularity but only triggers push notifications when popularity reaches predetermined thresholds. This partial action approach processes data continuously but only takes action when necessary, reducing unnecessary server operations and energy consumption while maintaining effective user engagement.
Solution Approach 2:
The system uses predetermined popularity thresholds as parameters to control when push notifications are sent. By changing the threshold parameters, the system can adjust its monitoring intensity and resource consumption to match engagement goals without continuously notifying users.
3Ease of operation
If push notifications are sent frequently to guide users to go live, then user engagement on trending topics improves, but users may experience notification fatigue and annoyance
Solution Approach 1:
The system sends push notifications only when creations reach predetermined popularity thresholds, rather than notifying users for every popular creation. This selective notification approach maintains user motivation while avoiding notification fatigue by taking action only when necessary.
Solution Approach 2:
The system uses adjustable threshold parameters to control notification frequency. By setting appropriate threshold levels, the system can motivate users to go live on truly trending topics while preventing excessive notifications that would cause user annoyance.
Data Source
AI summary
Embodiments of the present disclosure provide a live streaming and device, where the method includes: receiving push information of a target creation sent by a server, where the push information is sent by the server based on that the server determines that play popularity of the target creation meets preset popularity; and in response to an operation of a user on the push information, entering a first page of a live streaming application (App). In the embodiment of the present disclosure, by pushing the target creation whose play popularity exceeds preset popularity to the user, to prompt the user that one target creation is becoming a hot creation, so as to guide the user to go live with the target creation as a topic.


