Dynamic Video Ad Insertion via Metadata Matching
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Solution Overview
Problem
Conventional online video services often deliver irrelevant advertisements to users, leading to a poor user experience due to a lack of personalization in ad delivery.
Innovation Solution
The integration of video metadata and user preference data to conditionally play advertisements that are relevant to the type of video content being watched or downloaded, ensuring that ads are more likely to interest the end-user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional ad delivery methods are used, then ad revenue can be generated, but user experience deteriorates due to irrelevant advertisements
Solution Approach 1:
The system performs preliminary actions by extracting metadata from video content before ad delivery, analyzing user preferences in advance, and pre-matching ads to video content based on metadata tags. This preparation enables relevant ad selection before the user views the content, preventing irrelevant ad exposure and improving user experience while maintaining ad revenue generation
2Device complexity
If generic advertisements are delivered to all users, then ad delivery simplicity is maintained, but ad effectiveness decreases due to lack of personalization
Solution Approach 1:
The system segments both video content and advertisements into distinct categories using metadata tags. Video content is divided into segments based on metadata (genre, topic, themes), and advertisements are similarly segmented. This segmentation enables precise matching between relevant ad segments and corresponding video segments, improving ad relevance without requiring complex real-time processing during playback
Solution Approach 2:
The system changes parameters by utilizing multiple metadata attributes (genre, topic, themes, keywords) to characterize both video content and advertisements. By matching based on these parameter changes and transformations, the system achieves personalized ad delivery that improves relevance while maintaining systematic processing through defined parameter mappings
Data Source
AI summary
A media service application responsive to a media retrieval request received from a user of client computer to retrieve a video designated by the retrieval request. The media service retrieves relevant advertisements as a function of metadata included in the video file and/or stored personal preference data of the user. If the retrieval request is an online viewing request the media service application integrates the retrieved advertisements into the retrieved video and transfers an integrated video/advertisement file to the client If the retrieval request is a download request the media service application transfers the retrieved ad and retrieved video to the client as separate files for integration by the client during playback of the video.