Web Page Module Optimization via Impact Scoring and Feedback

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Solution Overview

Problem

Web site owners face challenges in maximizing revenue and achieving business objectives due to traditional approaches that focus solely on direct ad revenue, neglecting the impact of ad combinations on overall page performance and user engagement.

Innovation Solution

A computerized system and method for optimizing web pages by selecting components based on a combination of metrics, utilizing a module server, feedback component, and page assembler to dynamically decide which ads or components to display, considering impact scores and performance feedback to maximize business objectives such as revenue, user engagement, and network recirculation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If traditional revenue-focused ad selection methods are used, then direct ad revenue may be maximized, but overall page performance and user engagement metrics deteriorate

Engineering Contradiction:

Improvedirect ad revenueVSAvoidoverall page performance

Core Design Contradiction:

Loss of energyVSProductivity

Solution Approach 1:

The system changes the evaluation parameters from single-metric (direct revenue) to multi-metric optimization, considering revenue, user engagement, and network recirculation simultaneously. The optimization engine adjusts component selection based on weighted combinations of these parameters to achieve balanced improvement across all metrics.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements feedback loops where performance data from multiple metrics is collected, analyzed, and used to continuously refine component selection decisions. The optimization engine learns from past performance patterns to improve future selections, creating a self-improving system that balances revenue and engagement.

Inventive Principle:

Principle #23Feedback

2Loss of energy

If multiple components are selected to maximize revenue, then direct ad revenue increases, but user engagement and network recirculation are neglected

Engineering Contradiction:

Improverevenue generationVSAvoidbusiness objective achievement

Core Design Contradiction:

Loss of energyVSAdaptability or versatility

Solution Approach 1:

The optimization engine serves multiple functions simultaneously: maximizing revenue, improving user engagement, and enhancing network recirculation. Rather than optimizing for a single purpose, the system integrates multiple business objectives into a unified component selection process that achieves all goals concurrently.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system creates a composite optimization approach by combining multiple evaluation criteria (revenue metrics, engagement metrics, recirculation metrics) into a unified decision-making framework. This composite method allows the system to consider diverse factors and select components that collectively satisfy multiple business objectives.

Inventive Principle:

Principle #40Composite materials

3Ease of operation

If page designer heuristics are used for component selection, then implementation simplicity is maintained, but optimization effectiveness deteriorates

Engineering Contradiction:

Improvecomponent selection processVSAvoidrevenue optimization

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The optimization engine operates autonomously, automatically analyzing performance data and selecting components without requiring manual intervention from page designers. The system serves itself by continuously monitoring metrics and making data-driven decisions, eliminating the need for heuristic-based manual optimization while maintaining operational simplicity.

Inventive Principle:

Principle #25Self-service

4Device complexity

If service providers are delegated for ad selection, then operational complexity is reduced, but revenue maximization capability deteriorates

Engineering Contradiction:

Improvedecision-making systemVSAvoidrevenue generation

Core Design Contradiction:

Device complexityVSLoss of energy

Solution Approach 1:

The system replaces manual or semi-automated service provider decision-making with an automated optimization engine that uses algorithmic analysis of multiple metrics. This substitution eliminates the need for external service providers while achieving superior revenue optimization through data-driven automated component selection.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9495681B2Systems and methods for web page optimization

Publication Date: 2016.11.15 YAHOO AD TECH LLC

AI summary

Systems and methods are provided for web page optimization. In accordance with one implementation, a system for web page optimization is provided, wherein the system comprises a computing device configured to provide at least one of user data, content categories, and page performance metrics, and receive, from the module server, a bid to include at least one proposed module on a page, the bid including an impact score of the at least one proposed module based on the page performance metrics. The system also includes a feedback component configured to provide performance feedback indicative of how the page performed based in part on the page performance metrics, and a page assembler coupled configured to select for display on the page a module combination comprising the at least one proposed module, wherein the module combination is selected based in part on the impact score and the performance feedback.