Behavior-Based Content Component Prioritization
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Solution Overview
Problem
Content-rich websites experience delays in rendering web pages due to high volumes of requests, leading to degraded user experience and reduced traffic or lost sales, as existing technologies do not effectively prioritize the generation and presentation of components based on user behavior.
Innovation Solution
Implementing a system that determines a priority order for generating, sending, and presenting content components based on behavioral data, such as dwell time, presentation frequency, and transaction data, to ensure that high-priority components are rendered first, using a combination of server-side and client-side processing and multi-stream networking protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If all content components are generated and communicated in default order, then complete content is delivered to users, but latency increases and user experience degrades during high request volumes
Solution Approach 1:
The system performs preliminary analysis of behavioral data to pre-determine priority rankings for content components before users request them. This allows the server to immediately serve high-priority components first when requests arrive, eliminating the need to analyze and reorder components in real-time during high-volume periods.
Solution Approach 2:
The patent segments content into discrete components with assigned priority levels based on behavioral data. Instead of treating the entire webpage as a single unit, the system divides it into independently prioritizable components (images, scripts, text blocks, etc.), allowing selective optimization of rendering order without affecting the complete content delivery.
2Speed
If content components are prioritized based on behavioral data, then relevant components are presented faster, but system complexity increases due to data collection and analysis requirements
Solution Approach 1:
The system employs self-service mechanisms where client devices automatically collect and report their own behavioral data (dwell time, interactions, scrolling patterns) back to the server. This eliminates the need for complex server-side monitoring infrastructure, as each device contributes its own usage data voluntarily, simplifying the overall system architecture while enabling sophisticated prioritization.
Solution Approach 2:
The patent implements continuous feedback loops where behavioral data from user interactions is collected, analyzed to update priority rankings, and then applied to subsequent content delivery. This feedback mechanism allows the system to adapt and improve component prioritization over time based on actual user behavior patterns, optimizing presentation speed without requiring manual configuration or complex hard-coded rules.
Data Source
AI summary
Techniques are described for determining a priority order for generating, serving, or rendering components of content such as a web page. Behavioral data may be collected from user devices, the behavioral data describing user interactions with components of the content during previous presentations of the content on the user devices. Based on the behavioral data, a score may be determined for one or more of the components, the score based on component dwell times, component presentation frequency, or other information. A priority order for the components may be based on the determined scores, and the components may be generated, served, or rendered in the priority order.