Dynamic Content Delivery System for Contextual Entity Targeting
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Solution Overview
Problem
Current content delivery systems fail to consider content providers interested in users, leading to lower user engagement with requested content, as they separate content selection and presentation from the user's requested content.
Innovation Solution
A system that dynamically generates entity-specific recruiting-related information by considering targeting criteria for content delivery campaigns, allowing recruiting campaigns to be integrated with other campaigns and prioritizing content from the same contextual entity when relevant, ensuring that only relevant content is presented to users who satisfy specific criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If content delivery services separate content selection from requested content, then content delivery is simplified, but user engagement with requested content decreases
Solution Approach 1:
The patent merges content selection and requested content delivery into a unified system. The content delivery service analyzes the user's requested content and selects additional content items from content providers that are interested in the user, combining previously separate functions into an integrated approach that maintains simplicity while improving engagement.
Solution Approach 2:
The content delivery service performs multiple functions: it delivers the user's requested content, selects additional relevant content items, identifies content providers interested in the user, and manages campaign targeting criteria. This multi-functional approach increases user engagement without proportionally increasing system complexity.
2Productivity
If content providers are considered in content selection, then user engagement increases, but system complexity increases
Solution Approach 1:
The content delivery service acts as an intermediary between users and multiple content providers. It receives content items from various content providers, evaluates them against targeting criteria, and selects appropriate additional content items. This intermediary role manages the complexity of coordinating multiple content providers while enabling personalized content delivery that boosts engagement.
Solution Approach 2:
The system uses targeting criteria as adjustable parameters to control content selection. By changing parameters such as user interests, content relevance, and provider priorities, the system can dynamically adjust content selection to maximize engagement without permanently increasing structural complexity.
3Adaptability or versatility
If multiple recruiting campaigns are integrated, then content relevance improves, but processing complexity increases
Solution Approach 1:
The patent segments recruiting campaigns into manageable units with specific targeting criteria. Each campaign is evaluated independently against user attributes and content context, allowing the system to handle multiple campaigns without overwhelming complexity. The segmentation enables selective integration of only relevant campaigns into the content delivery.
Solution Approach 2:
The system performs preliminary evaluation of recruiting campaigns against targeting criteria before final content selection. By pre-filtering campaigns based on user attributes and content relevance, the system reduces processing complexity during actual content delivery while maintaining high adaptability and relevance.
Data Source
AI summary
Techniques are provided for dynamically generating content. A request for content about a first entity is received from a client device. In response to receiving the request, an identity of a second entity of the client device is determined. Based on the identity, attributes of the second entity are identified. It is determined whether the attributes satisfy targeting criteria of a campaign that was initiated by the first entity. In response to determining that the attributes satisfy the targeting criteria, a first number of entities that (i) share one or more attributes in common with the second entity and (ii) satisfy the targeting criteria is determined. Also, a second number of entities that share the one or more attributes in common with the second entity is determined. A ratio is calculated based on the two numbers. First content that specifies the ratio is sent to the client device for display.