Web Traffic Optimization via Content Value Analysis
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Solution Overview
Problem
Conventional methods for determining the value of web pages and optimizing traffic through websites focus solely on immediate revenue generated by individual pages, neglecting the interconnected nature of web pages and the potential revenue from subsequent pages viewed by users, leading to inadequate optimization of overall revenue potential.
Innovation Solution
A method and system for determining overall content values for web pages or networks by calculating subsequent flow values and revenue values, incorporating transition probabilities to assess the value of user journeys through interconnected content elements, and modifying the network to maximize revenue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods focus on analyzing revenue from individual pages in isolation, then the simplicity of analysis is maintained, but the overall revenue optimization is inadequate
Solution Approach 1:
The patent segments the web site into multiple interconnected pages and analyzes each page's contribution to overall revenue separately. By calculating individual page revenues and then aggregating them, the system maintains analytical simplicity while capturing the interconnected value of pages through transition probability matrices that model user navigation patterns across the segmented pages.
Solution Approach 2:
The patent creates a universal analytical framework that can evaluate any web page's value not just by its immediate revenue but by its role in the overall user journey. The transition probability matrix serves as a multi-functional tool that captures navigation patterns, revenue contributions, and strategic value across different pages, allowing a single analytical system to assess the entire web site's revenue potential.
2Productivity
If traffic is guided to pages with highest revenue per page, then immediate revenue is maximized, but the interconnected value of user journeys through multiple pages is neglected
Solution Approach 1:
The patent implements feedback by using transition probability matrices to capture how users navigate between pages. This feedback mechanism reveals that pages with lower immediate revenue may actually have high strategic value by serving as entry points to high-revenue pages. The system uses this feedback information to adjust traffic guidance strategies, balancing immediate revenue with the informational value of user journey patterns.
Solution Approach 2:
The patent performs preliminary analysis of transition probabilities and user navigation patterns before guiding traffic. By pre-calculating the interconnected value of pages through matrix computations, the system identifies which pages serve as effective entry points to high-revenue content, allowing traffic to be directed to pages that maximize both immediate and subsequent revenue opportunities.
3Productivity
If the interconnected nature of web pages is fully analyzed, then overall revenue potential is maximized, but the computational complexity increases significantly
Solution Approach 1:
The patent transforms the complex problem of analyzing interconnected page values by changing the mathematical parameters used. Instead of tracking individual user paths through the web site, the system uses transition probability matrices that aggregate navigation patterns into probabilistic transitions between pages. This parameter transformation simplifies the computational complexity while preserving the essential interconnected relationships between pages.
Solution Approach 2:
The patent creates a simplified computational model (a copy) of the actual user navigation behavior through transition probability matrices. Rather than analyzing every possible user journey through the interconnected pages, the system uses these matrix copies to represent and compute the aggregate value of page interconnections, significantly reducing computational requirements while maintaining accuracy in assessing overall revenue potential.
Data Source
AI summary
A method for optimizing traffic flow through a web network including collecting data corresponding to the content elements, determining a revenue value for each content element, calculating an overall content value for each content element based on the corresponding revenue value and revenue generated from subsequent flow of a user during a visit to the network, and modifying the network based on the overall content value and the content data, so as to maximize the value of the network. Also disclosed is a system for determining overall content values for a plurality of content elements including an analytic server for receiving content data corresponding to the content elements, and a processor determining a revenue value for each element and calculating an overall content value for each content element based on the corresponding revenue value and revenue generated from subsequent traffic flow of a user during a visit to the network.