Dynamic Content Delivery via Modular Condition Segmentation
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Solution Overview
Problem
Existing systems face challenges in efficiently delivering content to target users as they often require bespoke code, making changes to content, users, or conditions difficult and limited.
Innovation Solution
A computer-implemented method and system that determines if pre-defined conditions are satisfied for a user, allowing content to be provided dynamically based on satisfied sets of required conditions, with the ability to store and manage expiry information for conditions, and generate output conditions for other sets, enabling flexible and efficient content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bespoke code is provided for particular content delivery to target users when conditions are satisfied, then content delivery can be customized, but changing content, target users, or conditions becomes difficult and limited
Solution Approach 1:
The system segments content delivery into modular components: content items, target user definitions, and condition sets are separated into independent data structures. Each content item has its own associated conditions and target user criteria, allowing individual modification without affecting other parts of the system. This segmentation enables flexible updates to content, users, or conditions while maintaining system integrity.
Solution Approach 2:
The system implements dynamic content delivery where content, target users, and conditions can be modified in real-time without requiring code changes. The processor evaluates conditions dynamically against stored data, and the system adapts to changes in user behavior, content availability, or delivery criteria automatically. This dynamic approach replaces static bespoke code with flexible data-driven logic.
2Loss of time
If real-time condition evaluation is performed for content delivery, then content can be delivered at the right moment, but system processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-storing condition criteria, target user profiles, and content metadata in accessible data structures. Before real-time evaluation, all necessary data is prepared and organized, allowing the processor to quickly match incoming conditions against pre-defined criteria. This preliminary preparation reduces the complexity of real-time processing by eliminating the need for complex queries or data retrieval during the evaluation moment.
Solution Approach 2:
The system uses data copying and pattern matching approaches where condition templates are created once and then copied/replicated for multiple content items. Instead of creating unique complex evaluation logic for each content delivery scenario, the system copies proven condition structures and adapts them to specific cases, reducing processing complexity while maintaining real-time evaluation capability.
Data Source
AI summary
A computer implemented method comprises receiving data about a first condition associated with an apps for a first user. It is determined if one or more sets of required conditions are respectively satisfied by the first condition and at least one stored condition. Each set of conditions is associated with content delivery. When a set of conditions is satisfied, the associated content is delivered to a first user device for the first user.