Interactive Ad Insertion in Media Collections
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Solution Overview
Problem
The existing news dissemination systems face delays in presenting information due to time-consuming processes of content generation and curation by professionals, and the integration of advertisements with news content is not efficiently managed, leading to suboptimal user engagement.
Innovation Solution
A networked system that automatically inserts advertisements with interactive elements into content collections, using user interaction data to personalize and optimize the presentation of ads, allowing for real-time curation and presentation of media collections, including geolocation-based and time-sensitive content, while ensuring coherent content grouping to minimize ad disruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If professional journalists manually gather and curate news content, then information quality and analysis value are improved, but time delay between event occurrence and information presentation increases
Solution Approach 1:
The system segments the news creation process by dividing content curation into multiple independent components: automated content collection from various sources, AI-based content analysis and tagging, manual curator review of specific elements, and automated assembly. This allows parallel processing of different content aspects, reducing overall time while maintaining quality through specialized handling of critical editorial decisions.
Solution Approach 2:
The patent introduces an intermediary AI system that acts as a bridge between automated content collection and human curators. The AI pre-processes large volumes of content, identifies relevant pieces, and prepares them for review, allowing human curators to focus on higher-level editorial judgment rather than manual content gathering and initial filtering.
2Quantity of substance
If advertisements are integrated with news content, then revenue support for news creators is improved, but user engagement decreases due to poor ad-content matching
Solution Approach 1:
The system applies local quality by matching advertisements to specific content pieces based on their unique characteristics, tags, and contextual attributes. Each content item receives ads that are locally optimized for that particular article or media piece, rather than using uniform ad placements. This ensures ads are relevant to the specific content being consumed, improving user experience while maintaining revenue generation.
Solution Approach 2:
The patent implements feedback mechanisms where user interactions with ads (clicks, views, engagement metrics) are continuously monitored and fed back into the system. This feedback loop allows the algorithm to learn from user behavior and progressively improve ad-content matching, adjusting placements and selections based on real-world performance data to enhance both user engagement and revenue effectiveness.
3Productivity
If automated systems are used for content curation, then processing speed and efficiency are improved, but content quality and coherence deteriorate
Solution Approach 1:
The system performs preliminary automated actions to prepare content for final assembly, including automated collection, initial filtering, tagging, and categorization. These preparatory steps handle the time-consuming aspects of content gathering and organization, allowing the final assembly and quality assurance to focus on coherence and editorial standards, thus maintaining quality while improving overall processing speed.
Data Source
AI summary
Systems, devices, media, instructions, and methods are provided for presentation of media collections with automated interactive advertising. In one embodiment, a client device receives content elements for display as part of a content collection. Advertising data is also received for display between selected content elements. Interaction elements are merged with the create an advertising element. During display of the advertising data, the interaction elements are presented on the client device output, and are controllable via user inputs. In various embodiments, interaction data recorded at the device is used to manage the presentation of future advertising data.