Dynamic Metadata Push for Video Ad Customization
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Solution Overview
Problem
Content providers face inefficiencies in dynamically updating metadata associated with video data across multiple advertising servers, leading to incomplete and irrelevant advertisements being presented, as conventional methods require manual editing of keywords on each server, which is time-consuming and prone to errors.
Innovation Solution
A system and method for dynamically modifying metadata associated with video data, where the order of accessing advertising servers is determined based on prior performance or revenue, and modified metadata is automatically transmitted to the servers, allowing for real-time updates and improved ad selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual editing of keywords is performed on each ad server, then advertisement relevance can be adjusted, but the process is time-consuming and labor-intensive
Solution Approach 1:
The system automatically pushes metadata updates to ad servers without requiring manual intervention. The content management system autonomously manages the update process by identifying changes in video metadata and automatically transmitting them to connected ad servers, eliminating the need for manual keyword editing on each server.
Solution Approach 2:
The manual mechanical process of editing keywords on each ad server is replaced with an automated digital system. The content management system uses automated protocols to push metadata changes to ad servers, substituting manual mechanical operations with automated electronic data transmission and processing.
2Manufacturing precision
If keywords are manually updated on each ad server, then advertisement selection can be optimized, but the complexity of the update process increases
Solution Approach 1:
Multiple ad servers are merged into a single unified update process. Instead of manually updating each ad server individually, the system consolidates the update operation into a single automated push from the content management system that simultaneously reaches all connected ad servers, simplifying the overall process.
Solution Approach 2:
The content management system serves multiple functions: it stores video data, manages metadata, identifies changes, and automatically pushes updates to multiple ad servers. This multi-functional approach eliminates the need for separate manual update processes for each ad server, reducing overall system complexity.
3Manufacturing precision
If metadata is updated manually on each ad server, then advertisement relevance can be improved, but the likelihood of incomplete updating increases
Solution Approach 1:
The system implements feedback mechanisms to track and verify metadata updates across all ad servers. By monitoring the update process and confirming that metadata changes have been successfully transmitted and applied to all ad servers, the system ensures complete and accurate updating while allowing for correction of any missed or failed updates.
Data Source
AI summary
Metadata associated with video data by a content management system is transmitted to one or more advertising servers to tailor advertisements, or other data, presented in addition to the video data. In one embodiment, a user specifies the metadata associated with the video data, and the management system communicates the metadata to one or more advertising servers. Responsive to a user changing a subset of the metadata using the content management system, the changed subset of the metadata is communicated to the one or more advertising servers, which modify advertisements associated with the video data responsive to the changed metadata. Hence, changes to metadata associated with video data are pushed from the management system to an advertising server, allowing the advertising server to more quickly modify the advertisements associated with the video data.