Content Modification System Fingerprint Mismatch Handling
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Solution Overview
Problem
Existing content-modification systems face challenges in identifying the channel when fingerprint-matching servers cannot match query fingerprint data with reference fingerprint data, leading to difficulties in performing content-modification operations, such as dynamic ad replacement, especially due to transmission delays and unidentified channels.
Innovation Solution
The system compares query fingerprint data directly with reference fingerprint data representing modifiable content-segments, allowing for content-modification operations even when the channel is not identified, by detecting matches and facilitating actions that enable targeted content delivery to end-users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system compares query fingerprint data with reference fingerprint data sets corresponding to channel identifiers, then channel identification is achieved, but content-modification operations cannot be performed when channel identification fails due to transmission delays
Solution Approach 1:
The fingerprint data comparison process is segmented into two distinct stages: first comparing with channel identifier-associated reference data, then comparing with modifiable content-segment reference data. This segmentation allows the system to handle channel identification separately from content modification, enabling content-modification operations to proceed even when channel identification is not possible.
Solution Approach 2:
The system introduces an intermediary comparison mechanism that directly compares query fingerprint data with modifiable content-segment reference data without requiring successful channel identification. This intermediary path enables content-modification operations to be performed independently of channel identification status, resolving the contradiction between identification accuracy and operation capability.
2Reliability
If the system waits for successful channel identification before performing content-modification operations, then channel accuracy is maintained, but transmission delays prevent timely content modification
Solution Approach 1:
The system performs preliminary comparison of query fingerprint data with modifiable content-segment reference data before finalizing content-modification operations. This preliminary action allows the system to identify content modification opportunities and prepare for timely modification even before channel identification is complete, reducing the impact of transmission delays.
Solution Approach 2:
The content-modification process is made dynamic by allowing it to proceed based on fingerprint data matches regardless of channel identification status. The system adapts its behavior based on the comparison results, enabling timely content modification when fingerprint matches are found, thus reducing time loss while maintaining reliability through the two-stage comparison process.
3Adaptability or versatility
If the system uses traditional fingerprint-matching approaches requiring channel identifiers, then channel-specific content delivery is achieved, but the system cannot handle unidentified channels or transmission delays
Solution Approach 1:
The system implements a universal fingerprint comparison mechanism that serves multiple functions: it can compare with channel identifier data for identification purposes, and independently compare with modifiable content-segment data for content modification purposes. This multi-functionality allows the system to handle both identified and unidentified channels, improving adaptability while maintaining productivity.
Solution Approach 2:
The system creates a copy of the fingerprint comparison process that operates independently of channel identification. By maintaining separate reference fingerprint data for modifiable content-segments, the system can perform content modification operations using this alternative reference copy, ensuring productivity is not dependent on channel identification success.
Data Source
AI summary
In one aspect, a method includes receiving query fingerprint data representing content received by a content-presentation device. The method also includes comparing at least a first portion of the query fingerprint data with at least one first reference fingerprint data set, where each first reference fingerprint data set corresponds with a respective channel. The method also includes determining that the query fingerprint data does not match any of the at least one first reference fingerprint data sets. The method also includes responsive to the determining, comparing at least a second portion of the query fingerprint data with second reference fingerprint data representing a modifiable content-segment. The method also includes detecting a match between at least the second portion of the query fingerprint data and the second reference fingerprint data. The method also includes responsive to detecting the match, performing an action that facilitates the content-presentation device performing a content-modification operation.