Dynamic Navigation Path Shortening via Automatic Link Insertion
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Solution Overview
Problem
Website designers face challenges in identifying and shortening long navigation paths within websites, as they lack easy methods to determine which pages are most important to visitors and how to dynamically update links to improve user navigation.
Innovation Solution
A system that determines popular navigation paths by collecting user data, processing it to identify start and end pages, and automatically updates the start page with a link to the end page, using a network resource to dynamically shorten navigation paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If website designers manually change the hierarchy to place important pages near the beginning of navigation paths, then navigation path length is reduced, but the system requires manual intervention and designers cannot dynamically adapt to changing user preferences
Solution Approach 1:
The system automatically monitors user navigation behavior, identifies popular navigation paths, and updates website hierarchies without manual intervention. The website itself serves to optimize its own structure by collecting data on user preferences and dynamically adjusting navigation paths to place frequently accessed pages closer to the start.
Solution Approach 2:
The system implements a feedback loop where user navigation data is continuously collected and analyzed. This feedback informs automatic adjustments to the website hierarchy, allowing the system to adapt to changing user preferences over time. The monitoring and updating processes work together to create a self-optimizing navigation structure.
2Ease of operation
If website designers manually update navigation paths, then navigation structure can be changed, but the process is complex and requires significant manual effort
Solution Approach 1:
The system performs automatic monitoring and updating of navigation paths without requiring manual designer intervention. The complexity of data collection, analysis, and hierarchy adjustment is handled automatically by the system, making the process as simple as deploying and monitoring the software.
Solution Approach 2:
The system introduces an intermediary layer between user behavior and navigation structure. Instead of designers directly analyzing user data and making structural changes, the automated system acts as an intermediary that translates user navigation patterns into optimal website hierarchies, simplifying the overall process.
3Adaptability or versatility
If the website hierarchy is statically defined, then the structure is stable and easy to maintain, but it cannot adapt to changing user preferences and important pages may become difficult to reach
Solution Approach 1:
The system transforms the static website hierarchy into a dynamic structure that automatically adjusts based on user behavior. Navigation paths are no longer fixed but evolve over time as the system learns from user preferences. The hierarchy remains stable enough to maintain site architecture while being flexible enough to adapt to changing access patterns.
Data Source
AI summary
A method for shortening popular navigation paths in a website comprises determining a popular navigation path through a network, identifying a start page and an end page of the popular navigation path, and updating the start page with a link referring to the end page, wherein the updating is performed by a network resource interfaced with the network.