Event Content Selection Using Dynamic Eligibility and Ranking
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Solution Overview
Problem
The challenge of efficiently presenting content items of interest to individual users is exacerbated by the large number of available items and limited screen space, necessitating improved methods for determining and prioritizing content items for events.
Innovation Solution
A system dynamically determines eligible content items for events based on user preferences, regional and global rankings, and content item data, continuously monitoring changes in content item attributes to ensure relevance and eligibility, and customizes presentation based on user attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of available content items is increased, then user choice and content variety are improved, but the difficulty of presenting relevant content and managing screen space increases
Solution Approach 1:
The patent segments the large set of available content items into smaller, manageable groups based on event criteria. Content items are divided into event-specific subsets that are dynamically selected and presented, making the content management process more tractable while maintaining variety.
Solution Approach 2:
The system dynamically determines which content items are associated with events based on real-time criteria evaluation. The content presentation is not static but adapts dynamically based on user preferences, event parameters, and content item data, resolving the complexity through adaptive automation.
2Productivity
If content items are dynamically determined based on multiple criteria, then user engagement is improved, but the computational complexity and processing time increase
Solution Approach 1:
The system performs preliminary evaluation of content items against event criteria before presentation. By pre-determining eligible content items and their associations with events based on user preferences and content data, the system reduces real-time processing complexity while maintaining high user engagement through personalized content selection.
Solution Approach 2:
The system uses feedback from user preferences and content item data to continuously refine content selection. This feedback mechanism enables the system to learn from user behavior and improve content relevance over time, achieving high engagement without proportionally increasing system complexity through automated adaptation.
3Ease of operation
If the number of content items presented is reduced to fit limited screen space, then ease of navigation is improved, but the quantity of relevant content available to users decreases
Solution Approach 1:
The patent applies local quality by presenting different content subsets to different users based on their preferences and event associations. Each user receives a customized view of content that is locally optimized for their interests, maintaining navigation ease while ensuring the presented content is highly relevant and valuable to them.
Data Source
AI summary
There may be large numbers of content items available at current content provider systems. Subsets of these content items may be eligible to participate in events, such as sales. A content provider system may determine content item eligibility for events using content item data and proactively query vendor systems for participation in such events. The content provider system may iteratively query vendor systems based on an ordered set of eligible content items. The content provider system may monitor content items for updated content items data and proactively query a vendor system if a content item becomes eligible for an event based on updated content item data. Content items associated with a sale may be sorted and presented to a user based on user and/or content item data.