Widget Slot Assignment Using Effectiveness Metrics
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Solution Overview
Problem
Existing network site content page generation systems lack an efficient method to select and place user interface widgets based on effectiveness metrics, leading to suboptimal user engagement and revenue generation.
Innovation Solution
The content page generation application calculates an effectiveness metric for user interface widgets and selects them for placement within page slots defined by a page template, prioritizing widgets based on profitability, click-through rates, and engagement metrics, while also considering scheduling data and error rates to ensure optimal placement across the content page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user interface widgets are placed without effectiveness metric evaluation, then the placement process is simpler and faster, but user engagement and revenue generation are suboptimal
Solution Approach 1:
The system pre-calculates and stores effectiveness metrics for multiple user interface widgets before content page generation. This preliminary evaluation of widgets based on profitability, click-through rates, and engagement metrics allows for rapid selection during page generation without compromising engagement quality
Solution Approach 2:
The patent replaces manual or heuristic widget selection methods with an automated effectiveness metric-based selection system. The metric calculation and comparison automation enables efficient widget placement that optimizes user engagement without requiring manual intervention
2Reliability
If multiple user interface widgets are evaluated based on effectiveness metrics, then widget placement quality improves, but the calculation and selection process becomes more complex
Solution Approach 1:
The effectiveness metric system is segmented into distinct components: profitability metrics, click-through rate metrics, engagement metrics, and error rate metrics. Each component can be calculated and evaluated independently, then combined to form the overall effectiveness metric, making the complex evaluation process more manageable and maintainable
Solution Approach 2:
The effectiveness metric framework is designed to be universal and applicable to multiple types of user interface widgets across different content pages. The same metric calculation and selection process works for various widget types, reducing the need for widget-specific complex evaluation logic
3Productivity
If high-performing widgets are prioritized in high-traffic areas, then revenue generation increases, but the system requires more sophisticated scheduling and error rate consideration
Solution Approach 1:
The system applies local quality by considering the specific characteristics of each page slot (traffic level, position, importance) and matching widgets to slots based on their effectiveness metrics. High-traffic areas receive widgets with highest profitability and engagement metrics, while lower-traffic areas receive appropriately ranked widgets, optimizing revenue without requiring uniform complex scheduling across all slots
Solution Approach 2:
The system uses feedback from scheduling data and error rate information to refine widget selection and placement decisions. Widgets with high error rates are deprioritized or excluded from placement, and the system continuously learns from placement performance to improve future widget selection, enabling sophisticated scheduling through iterative optimization
Data Source
AI summary
Disclosed are various embodiments for assigning user interface widgets to page slots associated with a page template. In response to a request to generate a content page, content placement requests are then received from user interface widgets. The page slots are associated with a placement value indicating a value of the page slot relative to other page slots in the page template. The highest ranked user interface widgets according to an effectiveness metric or placement score are scheduled for placement in the content page.