Multi-Object Favorite Designation for Cloud GUI Layout Recreation
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Solution Overview
Problem
Users face challenges in navigating and managing applications and content on cloud-based computing platforms, struggling to filter through undesired content to find desired resources and efficiently recall previous configurations of applications and content.
Innovation Solution
A system and method for designating multi-object favorites, allowing users to quickly access and recall preferred configurations of applications and content by storing shortcuts and metadata, enabling the reconstruction of previous graphical user interface layouts and allowing multiple contexts to be saved and selected for reconfiguration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually navigate and configure applications and content on cloud-based platforms, then they can access desired information and functionality, but the time and effort required to filter through undesired content and reconfigure layouts increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically detecting applications and content that are currently displayed in the graphical interface and pre-configuring them as a grouped favorite. This eliminates the need for users to manually filter through undesired content and reconfigure layouts each time, as the system has already prepared the desired configuration in advance.
Solution Approach 2:
The system creates copies of the current graphical interface configuration by generating a grouped favorite that contains references to the displayed applications and content. This copied configuration can be quickly restored without manually recreating the entire layout, significantly reducing the time required to access desired content arrangements.
2Adaptability or versatility
If users manually select and place applications and content to recreate previous configurations, then they can restore desired layouts, but the complexity and effort of managing multiple configurations increases
Solution Approach 1:
The system merges multiple applications and content items into a single grouped favorite object. Instead of managing separate configurations for each application or content item, users can consolidate their desired arrangements into one unified grouped favorite, significantly reducing the complexity of managing multiple configurations while maintaining the ability to recall previous layouts.
Solution Approach 2:
The grouped favorite mechanism provides universal functionality that can store and restore any combination of applications and content items in a single configuration. This multi-functional approach allows users to manage diverse configurations through a unified system, reducing the overall complexity compared to managing separate settings for each application or content type.
3Adaptability or versatility
If cloud-based platforms provide a large variety of applications and content resources, then users have access to diverse functionality, but the difficulty of filtering through undesired content to find desired resources increases
Solution Approach 1:
The system extracts the currently displayed applications and content from the broader cloud-based platform environment and consolidates them into a focused grouped favorite. This extraction process removes the need for users to filter through the entire platform's vast array of content, as the system has already identified and separated the specific resources the user wants to access together.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for designating objects of disparate types as favorites. In an embodiment, a cloud computing platform provides content and applications for a user to utilize for cloud computing. Users are able to designate content, applications, and/or contexts (i.e., a combination of content and applications) as favorites. By storing metadata related to these disparate data types, the cloud computing platform is able to generate an inclusive list of favorite objects that users may utilize to retrieve specific graphical user interfaces. The cloud computing platform is also able to provide specific layout recreation by allowing users to designate a context as a favorite object.


