Navigation Assistance via Process Tracking Graphs
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Solution Overview
Problem
Users often get lost navigating complex websites due to a large number of pages, and there is currently no automated way to assist them, as they may not realize they are lost or know how to ask for help.
Innovation Solution
A system that uses a machine learning model trained on network page graphs to determine if a user needs assistance by comparing their navigation inputs with previous indicators, providing notifications and recommended destinations based on their activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of pages are provided on a network website, then the content coverage and resource availability are improved, but the navigation complexity and user orientation are worsened
Solution Approach 1:
The system continuously monitors user navigation behavior by tracking page views, time spent on pages, and navigation patterns. This feedback loop enables the system to detect when users are lost or stuck and automatically provide assistance through suggestions and recommendations, resolving the navigation complexity issue while maintaining comprehensive page coverage
Solution Approach 2:
The patent introduces an intermediary assistance system that mediates between the user and the complex website structure. This intermediary analyzes navigation patterns and provides intermediate guidance (suggestions, recommendations, and alerts) that help users navigate the large number of pages without being overwhelmed by the complexity
2Ease of operation
If automated assistance techniques are implemented to help lost users, then the user support quality is improved, but the system complexity and processing requirements are worsened
Solution Approach 1:
The system provides self-service automated assistance that monitors user behavior and offers help without requiring users to actively seek it. The automated detection of lost users and generation of assistance messages reduces the need for manual support while providing high-quality help, balancing user support quality with acceptable system complexity
Solution Approach 2:
The patent changes the parameter of assistance delivery from manual to automated by implementing machine learning models and behavior analysis algorithms. This parameter change enables the system to handle complex assistance tasks automatically, improving user support quality while the automation manages the system complexity
3Adaptability or versatility
If users manually search for resources by scrolling through pages, then the navigation freedom is improved, but the time consumption and network strain are worsened
Solution Approach 1:
The system performs preliminary analysis of user navigation patterns and pre-calculates assistance messages and suggestions before users actually get lost. By anticipating user needs and preparing guidance in advance, the system reduces the time users would otherwise spend searching while maintaining their navigation freedom to explore the website
Data Source
AI summary
Systems, computer program products, and methods are described herein for providing electronic navigation assistance based on data patterns via process tracking graphing. The method includes receiving one or more network navigation inputs completed by a user device associated with a user. The one or more network navigation inputs are indications of navigation between two or more pages on a network. The method also includes comparing the one or more network navigation inputs with one or more previous network navigation indicators. The method further includes determining a user location status based on the comparison of the one or more network navigation inputs with the one or more previous network navigation indicators. The user location status indicates whether the user needs assistance. The method still further includes causing a transmission of an assistance notification to the user device associated with the user based on determining that the user needs assistance.