Adaptive Companion Content Selection via User Interaction Monitoring
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Solution Overview
Problem
Online services face challenges in effectively serving companion shared content that is relevant and engaging to users, as existing methods lack adaptability based on user interactions and interests, leading to reduced viewer engagement and lower return on investment.
Innovation Solution
A system and method for adaptively serving companion shared content, which includes a monitoring unit to track user interactions, an in-stream shared content receiving unit, a companion shared content selection unit, and a transmitting unit, allowing for dynamic selection and presentation of companion content based on user behavior, preferences, and content themes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If companion shared content is served to users, then the online service can augment content and increase potential engagement, but the content may become less relevant to individual user interests, reducing engagement quality
Solution Approach 1:
The system dynamically selects companion shared content based on real-time monitoring of user interactions with in-stream shared content. The companion shared content selection unit adjusts content selection based on user behavior patterns, ensuring the content remains relevant and engaging rather than static or predetermined
Solution Approach 2:
The monitoring unit continuously tracks user interactions with in-stream shared content and feeds this information back to the companion shared content selection unit. This feedback loop enables the system to adapt companion content selection based on actual user engagement, improving relevance while maintaining efficient content serving
2Ease of operation
If in-stream shared content is provided with skip options, then user control and flexibility are improved, but the opportunity to engage users with relevant content is reduced
Solution Approach 1:
The system uses feedback from user interactions with in-stream shared content (including skip decisions) to dynamically select companion shared content. Even when users skip content, their interaction data is monitored and used to personalize future content recommendations, maintaining engagement opportunities while respecting user control
Data Source
AI summary
Media content is provided, via an online service, for consumption by a user of a user device. The media content is provided for playback within a media player presented on a screen of the user device. In-stream content is provided to the user device for automatic playback within the media player without the playback of the media content. An indication of user interaction with the in-stream content that is automatically played back within the media player without the playback of the media content is received. Responsive to the user interaction with the in-stream content satisfying a user interest criterion, companion content is selected to be sent to the user device. The companion content is related to the in-stream shared content.


