Media Slot Allocation Using User-Interest Segmentation
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Solution Overview
Problem
Existing content delivery systems fail to effectively engage users with auxiliary content by inserting it at inappropriate times or interrupting the viewing experience, failing to consider user preferences and interests.
Innovation Solution
A system that segments media content based on user preferences and interests, inserting auxiliary content like advertisements at optimal points within these segments using machine learning models to minimize disruption and maximize engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If auxiliary content is inserted at random or predefined intervals, then the content delivery system is simple to operate, but user engagement with auxiliary content decreases and placement occurs at undesirable times
Solution Approach 1:
The system dynamically adjusts auxiliary content placement based on real-time user viewing behavior and preferences rather than using fixed intervals. The content delivery system monitors user interactions and adapts placement timing accordingly, transforming a static system into a dynamic one that responds to user needs.
Solution Approach 2:
The system incorporates feedback loops that track user responses to auxiliary content and viewing patterns. This feedback is used to optimize future placement decisions, creating a closed-loop system that continuously improves user engagement while maintaining operational simplicity through automated learning.
2Quantity of substance
If auxiliary content is inserted to interrupt desired content presentation, then auxiliary content can be delivered to users, but user experience deteriorates and annoyance increases
Solution Approach 1:
The system applies different insertion strategies to different segments of the media content based on local characteristics. Rather than uniform interruption, the system analyzes content segments to determine optimal placement points that minimize disruption to the viewing experience while still delivering auxiliary content effectively.
Solution Approach 2:
The system performs preliminary analysis of the media content to identify suitable insertion points before actually placing auxiliary content. This pre-planning ensures that interruptions occur at moments of natural transition or low engagement, reducing user annoyance while maintaining delivery effectiveness.
3Ease of operation
If a skip button is provided after a certain period, then users can skip auxiliary content, but this fails to consider that users may be enjoying the auxiliary content and may inadvertently skip it
Solution Approach 1:
The system dynamically adjusts the skip button availability and auxiliary content placement based on user engagement patterns. Rather than a fixed approach, the system monitors whether users are actively engaging with or skipping content, and adapts the interface accordingly to prevent inadvertent skipping while maintaining user control.
Solution Approach 2:
The system uses feedback from user interactions to determine when skip options should be available and how auxiliary content should be placed. This feedback mechanism ensures that skip buttons are provided only when appropriate, preventing inadvertent skipping while maintaining user autonomy and control.
Data Source
AI summary
Systems and methods for inserting auxiliary content slots within portions of media assets determined to be of interest to users. Segments of a media asset being viewed by a user are identified as being of particular interest to the user, with reference to a stored set of user preferences. User preferences may be consulted to determine which of these segments may be of likely interest to the viewer. Slots for auxiliary content, such as an advertisement, are then added to those segments deemed to be of likely interest. Auxiliary content such as ads may accordingly be displayed to a user at points within media assets at which the user is more likely to be paying attention, increasing the likelihood that auxiliary content will be viewed and perhaps interacted with by the user.