Webpage Navigation Map for Query-Relevant Data Interactions
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Solution Overview
Problem
Navigating digital environments with multiple webpages and webpage elements is challenging due to varying designs across devices and overlapping information, requiring users to have knowledge of webpage structures and orders, which leads to inefficient navigation and resource wastage.
Innovation Solution
A system and method generate a navigation map that includes a sequence of webpages and operations to perform a desired data interaction, using a database to identify relevant webpages and elements based on user queries, reducing unnecessary webpage visits and operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users navigate through multiple webpages to perform data interactions, then they can access required information and services, but webpage traffic and network traffic increase, consuming computing and network resources
Solution Approach 1:
The system performs preliminary analysis of user queries and pre-determines the optimal navigation path through webpages before the user actually navigates. By analyzing the user query, identifying relevant webpages, and constructing a navigation map in advance, the system eliminates the need for users to browse through unnecessary webpages, thereby reducing webpage traffic and network resource consumption while maintaining ease of access to required information
Solution Approach 2:
The patent introduces a navigation map as an intermediary component between the user query and the target webpages. This navigation map contains pre-identified relevant webpages and the optimal sequence to access them. By using this intermediary structure, the system directs users only to necessary webpages in an optimized order, reducing overall webpage traffic and network resource usage while improving navigation efficiency
2Loss of energy
If users visit only necessary webpages through optimized navigation, then computing and network resources are saved, but users need guidance on the correct navigation path
Solution Approach 1:
The system enables self-service navigation by automatically generating navigation maps based on user queries without requiring manual intervention or complex user education. The navigation map generation process is automated, analyzing queries and constructing optimized paths independently, thereby reducing resource consumption while avoiding the need for complex user training or manual navigation setup
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing user queries and historical navigation data to continuously improve navigation map generation. By using feedback from user interactions and query patterns, the system refines its ability to identify relevant webpages and optimize navigation paths, reducing the need for complex manual guidance systems while saving computing and network resources
3Loss of energy
If the navigation map includes the shortest path with minimum webpages, then network traffic is reduced, but the system must accurately identify relevant webpages and operations
Solution Approach 1:
The system performs preliminary analysis of user queries to identify relevant webpages and operations before constructing the navigation map. By pre-processing queries and using historical data to anticipate user needs, the system accurately identifies relevant webpages in advance, enabling the creation of shortened navigation paths that reduce network traffic while maintaining high accuracy in relevancy determination
Solution Approach 2:
The patent replaces manual or rule-based webpage relevancy determination with automated analysis mechanisms that use historical data and pattern recognition. This substitution of mechanical/reManual processes with automated systems enables more accurate identification of relevant webpages, allowing the system to confidently create shortened navigation paths that reduce network traffic while maintaining or improving relevancy accuracy
4Productivity
If users require knowledge of webpage structures and orders for navigation, then they can perform data interactions independently, but the complexity of user education increases
Solution Approach 1:
The system implements self-service navigation by automatically generating step-by-step navigation instructions based on user queries. Instead of requiring users to independently understand webpage structures and navigation orders, the system autonomously analyzes queries, identifies relevant webpages, and provides guided navigation paths, thereby maintaining high data interaction efficiency while eliminating the need for complex user education
Solution Approach 2:
The patent introduces a navigation guidance intermediary that translates complex webpage structures into simple, step-by-step instructions for users. This intermediary component processes the underlying webpage architecture and presents simplified navigation paths to users, enabling efficient data interactions without requiring users to understand the complexity of webpage structures or navigation orders
Data Source
AI summary
A machine learning model is run to assign one or more interaction categories to each webpage and webpage element. In response to receiving a request to perform a data interaction, a particular interaction category associated with the requested data interaction is determined. A plurality of webpages and webpage elements are determined that are assigned to the particular interaction category. A navigation map is generated to perform the data interaction, wherein the navigation map includes a sequence of webpages including webpage elements and information relating to one or more operations that are to be performed at each of the webpages and the webpage elements as part of performing the data interaction. The sequence of webpages and webpage elements are from the plurality of webpages and webpage elements that are assigned to the particular interaction category.