Resource Grouping via Access History Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face inefficiencies in accessing multiple resources as they typically need to individually access each resource, and existing systems do not effectively group resources based on usage patterns, leading to inconvenient access and display of shortcuts.
Innovation Solution
A computer-implemented method and system that automatically groups resources based on access history, generating a group identifier and website group graphics to facilitate access and display of frequently used resources within a graphical user interface or web browser.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users access multiple resources individually, then each resource can be accessed in detail, but the access time and operational complexity increase
Solution Approach 1:
The patent combines multiple frequently accessed resources into a single group identifier or website group graphic. Users access the group as one unit rather than individually accessing each resource, thereby reducing the number of operations and time required while maintaining easy access to all resources within the group.
Solution Approach 2:
The system automatically analyzes access history and pre-groups resources that are frequently accessed together. This preliminary organization eliminates the need for users to manually organize resources or repeatedly perform the same access sequence, saving time on future access operations.
2Area of stationary object
If resources are displayed individually, then each resource is clearly visible, but the display area and interface complexity increase
Solution Approach 1:
Multiple resource shortcuts are merged into a single group identifier or website group graphic display element. This reduces the total number of display elements from N individual shortcuts to 1 group representation, significantly reducing display area requirements and interface complexity while preserving access to all resources.
3Productivity
If the system automatically groups resources, then access efficiency improves, but the system complexity and processing requirements increase
Solution Approach 1:
The system performs automatic resource grouping autonomously by analyzing user access history without requiring manual user input or configuration. The system self-organizes resources into groups based on observed usage patterns, improving access efficiency while minimizing the complexity of user interaction with the grouping mechanism.
Data Source
AI summary
The disclosed subject matter relates to computer-implemented methods for automatically grouping resources, such as electronic files, websites, applications, and the like, that are accessed by a user. In one aspect, the disclosed subject matter relates to automatically displaying frequently accessed websites in website groups. One approach to defining the groups is to consider websites that are accessed within a certain amount of time to belong to a particular group. Website group graphics can be generated which point to the various groups of websites. The website group graphic for a grouping of websites can be used to access the websites that are a part of that grouping.