Personalized Content Generation Within Web Page Load Time
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Solution Overview
Problem
Slow-loading web pages frustrate users, leading to reduced engagement and potential revenue loss due to impatient visitors abandoning the website.
Innovation Solution
A method to optimize and generate personalized content items during web page load time by predicting load time, splitting it into generation and run time, and either generating a new content item based on user preferences or summarizing an existing item to fit within the available time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a top ranked personalized content item is selected for display, then user engagement is improved, but the web page load time increases beyond acceptable limits
Solution Approach 1:
The patent segments the content delivery process by splitting the web page load time into two distinct phases: a generation phase for creating personalized content items and a run phase for displaying them. This segmentation allows the system to generate high-quality personalized content without extending the total perceived load time, as generation and display occur in parallel or overlapping time windows.
Solution Approach 2:
The system performs preliminary actions by predicting the web page load time in advance and using this prediction to determine the available time window for content generation and display. This allows the system to prepare and generate personalized content items before the actual display phase, ensuring that engagement-quality content is ready without delaying the user experience.
2Adaptability or versatility
If a new personalized content item is generated, then content relevance to user preferences is improved, but processing time increases
Solution Approach 1:
The patent implements a dynamic content generation strategy where the system adaptively switches between generating new personalized content items and summarizing existing ones based on real-time conditions. When time is sufficient and user preferences indicate high value, the system generates new customized content. When time is constrained, it dynamically transitions to summarizing pre-existing content, thus maintaining relevance while adapting to processing time constraints.
Solution Approach 2:
The system changes the parameter of content generation mode based on the predicted web page load time. If the predicted time allows, the system uses full generation mode with high customization. If time is limited, it switches to summarization mode, effectively changing the processing parameter to balance relevance and speed.
3Productivity
If an existing personalized content item is summarized, then processing speed is improved, but content detail is reduced
Solution Approach 1:
The patent applies partial action by summarizing only the essential portions of existing personalized content items when time is constrained. Instead of processing or displaying the complete original content, the system extracts and presents key information that maintains user engagement while significantly reducing processing time and content volume.
Data Source
AI summary
Provided are techniques for optimizing and generating a personalized content item for display during web page load time. The web page load time is predicted, and a list of personalized content items with corresponding ranks is received. In response to determining that a top ranked personalized content item of the list of personalized content items does not run within the web page load time, the web page load time is split into a split generation time and a split run time. In response to determining that the split generation time is less than a threshold, a new personalized content item is generated that runs within the split run time and displayed. In response to determining that the split generation time is equal to or greater than the threshold, an existing personalized content item is summarized to run within the split run time and displayed.