Dynamic Internet Advertising via Content Annotations
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Solution Overview
Problem
Current internet advertising systems fail to effectively present targeted ads to users viewing user-generated content, such as videos and photographs, beyond traditional keyword-based methods, lacking an automatic system to associate relevant advertising with the content being viewed.
Innovation Solution
A method and system where content creators upload and annotate their content with selected keywords or product identifiers, which are then associated with relevant advertisements through bidding or purchasing, allowing for dynamic presentation of targeted ads to viewers, with revenue generation events directing a portion of the revenue back to the content creators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional keyword-based advertising is used, then advertisers can purchase ad space on websites, but the advertising cannot be effectively targeted to users viewing user-generated content like videos and photographs
Solution Approach 1:
The video content is segmented into multiple time intervals, with each interval having its own set of annotations. This allows different advertisements to be associated with different segments of the same video, enabling precise targeting based on specific moments and content within the video.
Solution Approach 2:
Annotations serve as an intermediary between the video content and advertisements. The annotations describe the content of each video segment and link to relevant products or services, creating a bridge that enables targeted advertising without requiring direct interaction between the video and ad systems.
2Adaptability or versatility
If static advertisement placement is used, then advertisers can purchase ad space regardless of content, but the advertising fails to adapt to different content types and viewer interests
Solution Approach 1:
The advertising system transitions from static placement to dynamic placement where advertisements are automatically selected and displayed based on the video segment being viewed. The system dynamically adjusts ad selection based on annotations, time intervals, and viewer engagement, making the ad placement flexible and adaptive to content changes.
3Productivity
If automated advertising association is implemented, then targeted ads can be presented to viewers, but the system complexity increases due to annotation processing and advertiser bidding mechanisms
Solution Approach 1:
The system automatically processes annotations, segments videos, and selects advertisements without requiring manual intervention. The automated annotation processing and advertiser bidding mechanisms handle the complexity internally, allowing the system to self-manage the ad association process and present targeted ads efficiently.
Data Source
AI summary
A method of associating advertising to internet content, including: uploading content to a website or editing content on a website; selecting annotations that correspond to the content; uploading the annotations to the website or editing annotations on a website; associating the annotations with the content; associating advertising with the annotations; and presenting the content on the internet with the advertising associated to the content.


