Event Tracker Audit Policy for Media Orchestration
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Solution Overview
Problem
Conventional systems fail to track specific user interactions during media content playback and lack a reliable method for authenticating data, leading to skewed analytics and compromised data integrity.
Innovation Solution
An event tracker is implemented that assigns a unique application identifier and media orchestration descriptor to record and verify events, ensuring data authenticity through hash key management and secure storage, and transmitting authenticated records to media publishers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional systems stream media content without tracking user interactions, then the system simplicity is maintained, but the ability to provide accurate analytics and understand consumer behavior is lost
Solution Approach 1:
The patent applies preliminary action by embedding an audit policy within the media orchestration descriptor before media delivery. This policy pre-defines which user interactions should be tracked and how the data should be collected, eliminating the need for complex post-hoc tracking systems while ensuring comprehensive data capture from the outset.
Solution Approach 2:
The event tracker serves as an intermediary component that sits between the media player and the publisher's analytics system. It intercepts user interactions, processes them according to the embedded audit policy, and forwards authenticated data to the publisher, thereby simplifying the overall system architecture while maintaining detailed tracking capabilities.
2Reliability
If user interaction data is collected without authentication, then data collection is simple, but data integrity and reliability are compromised
Solution Approach 1:
Authentication mechanisms are built into the audit policy from the beginning, before data collection occurs. The policy pre-specifies authentication methods, data formats, and verification procedures, ensuring data integrity without requiring complex real-time authentication decisions during data collection.
Solution Approach 2:
The system implements feedback loops where collected event data is authenticated and verified against the audit policy criteria. Only authenticated data is transmitted to the publisher, creating a self-correcting mechanism that ensures data reliability while maintaining a relatively simple collection process.
3Measurement precision
If detailed user interaction tracking is implemented, then analytics quality improves, but processing overhead and system resource consumption increase
Solution Approach 1:
The audit policy enables selective tracking by specifying exactly which user interactions should be monitored and at what detail level. This local quality approach ensures that only relevant events are tracked with high precision, while unrelated events are ignored, thereby reducing overall processing overhead while maintaining measurement accuracy for critical behaviors.
Solution Approach 2:
The system implements partial action by tracking only the specific user interactions defined in the audit policy rather than all possible events. This selective approach captures sufficient behavioral data for meaningful analytics while avoiding the excessive processing burden of comprehensive event logging.
Data Source
AI summary
Methods and apparatus provide for an event tracker assigns a unique application identifier to represent a relationship between a media publisher and a client application that receives media content from the media publisher. The media publisher organizes the media content according to a media orchestration descriptor. The media orchestration descriptor identifies each segment of the media content and indicating relationships among the segments to define a presentation of the segments of the media content. The event tracker further associates an audit policy with the media orchestration descriptor where the audit policy is defined by the media publisher and received by the client application. The audit policy is applied to the client application in order to locally track events that occur with respect to the presentation of the media publisher's media content via the client application.