Network Resource Selection Using Usage Metrics
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Solution Overview
Problem
Network content providers face challenges in prioritizing and optimizing Web pages and links due to high volumes of digital content, leading to user overwhelm and difficulty in generating effective recommendations, as existing methods lack explicit sales figures and efficient linking strategies.
Innovation Solution
Implementing an addressable network resource selection system that uses usage metrics, such as user depart rates and linking scores, to prune undesirable pages and optimize link strategies, weighting scores based on desired outcomes like user exploration or high sales figures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network content providers maintain large numbers of browse pages to enable user navigation, then user accessibility and exploration capability are improved, but the quantity of pages increases making it difficult to prioritize and optimize content
Solution Approach 1:
The patent extracts and removes browse pages from the set of addressable network resources that are to be presented to the user. This is done by identifying browse pages through their link structures (pages with multiple outgoing links) and selectively excluding them based on criteria such as user depart rates and usage metrics, thereby reducing the total number of pages while preserving useful navigation content
Solution Approach 2:
The patent segments the set of addressable network resources into different categories (browse pages versus product pages) and applies different handling strategies to each segment. Browse pages are processed separately based on their navigation function, while product pages are processed based on their sales function, allowing optimized management of each type
2Ease of operation
If network content providers provide many links on browse pages to enable user exploration, then user accessibility is improved, but the lack of explicit sales figures makes it difficult to determine optimal linking strategies
Solution Approach 1:
The patent uses feedback from usage data and user behavior metrics (such as user depart rates, time spent on pages, and navigation patterns) to iteratively optimize linking strategies. The system measures the effectiveness of links and adjusts linking strategies based on observed user responses, enabling data-driven optimization without requiring explicit sales figures for browse pages
Solution Approach 2:
The patent introduces usage metrics and user behavior data as intermediary measures to indirectly assess the effectiveness of linking strategies. Instead of relying directly on sales figures (which are unavailable for browse pages), the system uses intermediate indicators like user depart rates and navigation patterns to evaluate and optimize link performance
3Productivity
If network content providers optimize pages for different business objectives (e.g., user exploration vs. high purchase volume), then business effectiveness is improved, but the complexity of managing different optimization strategies increases
Solution Approach 1:
The patent implements dynamic optimization strategies that can adapt to different business objectives. The system allows administrators to configure different optimization criteria (such as prioritizing user exploration through high-link pages or prioritizing sales through high-conversion pages) and dynamically adjusts page presentation and linking strategies based on the selected objective, making the system flexible for different business contexts
Data Source
AI summary
A system and a method for the management of addressable network resources (e.g., Web pages, electronic documents accessed via a Uniform Resource Identifier, etc.) within a network are provided. Specifically, embodiments of addressable network resource selection systems and methods are disclosed for managing the analysis and identification of optimal links between addressable network resources. A resource selection component enables pruning of undesirable pages on the basis of various usage metrics, including user depart rate. The resource selection component may then identify optimal linking strategies by determining one or more linking scores for remaining pages based on any of a number of different page usage metrics. In other embodiments, addressable network resource selection systems and methods may weight linking scores to emphasize desired outcomes, such as encouraging exploration of a network-based site or encouraging high aggregate sales figures.