Automated Media Ad Placement via Display Time Data
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Solution Overview
Problem
The existing news dissemination processes are time-consuming and inefficient, particularly in generating and presenting stories, and integrating advertisements in a way that aligns with user interest and event timing, leading to delays and irrelevant ad placements.
Innovation Solution
An automated system for generating, curating, and presenting media collections that incorporates advertisements seamlessly, using a networked system where content from various sources is sorted and presented dynamically based on user interest, event relevance, and timing, with curators able to adjust ad placement to maintain content continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional journalists manually gather and generate stories, then information quality and analysis value are improved, but time consumption and delay between event occurrence and information presentation increase
Solution Approach 1:
The system segments the news generation process into automated content collection from multiple sources, AI-powered story generation, and manual curator review. This division allows high-volume automated processing while maintaining quality control through selective human oversight, resolving the contradiction between speed and quality.
Solution Approach 2:
An automated AI system acts as an intermediary between raw content sources and human curators, pre-processing and generating draft stories that curators then review and refine. This intermediary layer enables rapid content generation while preserving human judgment for quality assurance.
2Quantity of substance
If advertisements are integrated into news content, then revenue support for news creators is improved, but user experience and content coherence deteriorate due to irrelevant or poorly timed ad placements
Solution Approach 1:
The system applies different quality standards to different parts of the content stream. Advertisements are selectively placed only in appropriate contexts where they maintain relevance to the surrounding content, rather than uniformly inserting ads throughout. This local quality approach ensures ads generate revenue without degrading overall user experience.
Solution Approach 2:
The system uses feedback loops where curators review and adjust ad placements based on content coherence and user experience metrics. This feedback mechanism allows the system to learn from placement outcomes and optimize future ad positioning to balance revenue generation with user satisfaction.
3Productivity
If high-volume content is rapidly curated and presented, then timeliness and productivity are improved, but content accuracy and relevance may deteriorate
Solution Approach 1:
The system performs preliminary automated processing of high-volume content including collection, initial filtering, and draft story generation before human curator review. This preliminary action handles the time-consuming aspects of content processing, allowing curators to focus on accuracy verification and relevance assessment, thus maintaining both speed and precision.
Data Source
AI summary
Systems, devices, media, instructions, and methods are provided for presentation of media collections with automated advertising. In one embodiment, display time data associated for a first plurality of content elements and a first advertising element as displayed on a first device are used in adjusting a presentation order for a second content collection comprising a second plurality of content elements and at least a second advertising element, where a placement of the second advertising element within the presentation order is based on the display time data. In some embodiments, a ratio of advertising to content elements is targeted over time for a user based on user interactions with various content and advertising elements.