Context-Aware Ad Insertion Preserving Content Semantics
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Solution Overview
Problem
Existing methods for inserting advertisements into content, such as stories or articles, often disrupt the user's experience by breaking the continuity and semantics of the original content, particularly when using AI-based voice response systems or dynamic video advertisements.
Innovation Solution
A computer-implemented method and system that analyzes the context and user characteristics to dynamically create and insert additional content, like advertisements, within the original content, ensuring continuity and semantics are preserved, using machine learning models to predict user responsiveness and adjust insertion points and formats based on user focus and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video-based advertisements are automatically inserted between content, then advertising revenue is improved, but user experience and content continuity deteriorate
Solution Approach 1:
The system analyzes the semantic structure of content and identifies specific insertion points where advertisements can be placed with minimal disruption to the overall narrative flow. By evaluating contextual relevance and semantic distance between content segments, the system determines optimal locations that maintain local coherence while enabling advertisement insertion.
Solution Approach 2:
The advertisement insertion system dynamically adapts to different content types, user preferences, and consumption patterns. It adjusts insertion strategies in real-time based on content analysis results, user feedback, and engagement metrics, transforming from static pre-defined insertion points to dynamic context-aware placement.
2Quantity of substance
If AI-based voice response systems deliver storytelling with advertisements, then advertising reach is improved, but user engagement and story immersion deteriorate
Solution Approach 1:
The system introduces an intermediary layer of semantic analysis and context evaluation between the advertisement delivery system and the user experience. This intermediary analyzes the storytelling content, identifies appropriate interruption points, and ensures that advertisements are delivered in a manner that maintains user engagement and story immersion.
3Quantity of substance
If advertisements are inserted into content, then advertising effectiveness is improved, but content semantics and narrative flow deteriorate
Solution Approach 1:
The system performs preliminary semantic analysis of the content before advertisement insertion, evaluating the narrative structure, thematic elements, and contextual relationships. This preliminary action enables the system to select insertion points that minimize semantic disruption and maintain the integrity of the original content meaning.
Data Source
AI summary
Context associated with content may be received. An additional content may be generated for insertion into the content. The additional content can be created to be within the context associated with the content and based on a likely responsiveness of the user to the additional content, the additional content referring to an item. The additional content preserves continuity and/or semantics in the context of the content.