Real-Time Telemetry Streaming for In-Stream UX Commands
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Solution Overview
Problem
Existing streaming applications struggle with real-time management of viewer behaviors due to batched data processing that is out of sync with content streams, leading to lagged and inefficient user experience optimization.
Innovation Solution
Ingesting real-time telemetry data from client devices to feed a machine learning model that produces User Experience (UX) commands, determining resource availability, and encapsulating these commands with content streams for immediate delivery to optimize UX on client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If batched data is used for managing viewer behavior, then data processing complexity is reduced, but real-time responsiveness deteriorates
Solution Approach 1:
The patent segments the data processing pipeline into multiple stages: data collection from viewers, real-time transmission to the server, immediate processing of viewer behavior data, and rapid generation of personalized content recommendations. This segmentation allows the system to handle real-time data streams while maintaining manageable processing complexity at each stage.
Solution Approach 2:
The system performs preliminary actions by pre-processing and pre-analyzing viewer behavior data as it arrives, rather than waiting for batched data accumulation. The server continuously updates user profiles and content recommendations in advance, ensuring real-time responsiveness when viewers interact with the streaming application.
2Loss of energy
If batched data is used for viewer behavior management, then bandwidth consumption is reduced, but data synchronization deteriorates
Solution Approach 1:
The patent implements periodic action by transmitting viewer behavior data in structured intervals rather than continuously, while still maintaining real-time processing capabilities. The system periodically aggregates and transmits processed insights, balancing bandwidth efficiency with data synchronization requirements for personalized content delivery.
3Adaptability or versatility
If real-time telemetry data is processed, then user experience personalization is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer between data collection and final application delivery. This intermediary layer aggregates, filters, and pre-processes telemetry data before passing it to the recommendation engine, reducing the complexity burden on individual system components while maintaining real-time personalization capabilities.
4Speed
If real-time data processing is implemented, then responsiveness to viewer behavior is improved, but processing time requirements increase
Solution Approach 1:
The system performs preliminary analysis and processing of viewer behavior data as it arrives, building user profiles and updating recommendations in advance rather than waiting for complete data sets. This preliminary action enables rapid responsiveness to viewer interactions while distributing processing time requirements across continuous operations.
Data Source
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AI summary
Systems, methods and articles of manufacture for are provided for analyzing user behavior in real time by ingesting telemetry data related to a streaming media application; feeding the telemetry data to a machine learning model (MLM) that produces a User Experience (UX) command based on the telemetry data and prior telemetry data received from the content streaming application; selecting content items to provide to the client device based on the telemetry data; determining, based on the telemetry data, whether the client device has sufficient free resources to receive the UX command and the content items in a current time window while providing a predefined level of service; when client device has sufficient free resources to receive the UX command and the content items, encapsulating the UX command with the content items in a content stream; and transmitting the content stream to the client device.