Automated Content Prioritization via Access Frequency Scoring
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Solution Overview
Problem
Users face time-consuming and tedious processes when searching for specific content items on mobile devices, as current methods require manual organization and browsing through chronological folders, which is inefficient for accessing frequently used items.
Innovation Solution
A method that automatically orders high-priority content items by calculating a total priority score based on access frequency and other metrics, such as access time and metadata, and presents them in order of their priority on the device's display, allowing for quick access to frequently used items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content items are organized in chronological folders, then all content items can be stored systematically, but users must browse through many items to locate specific content, which is time-consuming and tedious
Solution Approach 1:
The patent segments content items into different priority levels (high priority and low priority) based on access frequency. Frequently accessed content is automatically placed in a high priority folder, while less accessed content remains in chronological folders. This segmentation allows users to quickly access high priority content without browsing through all chronological content.
Solution Approach 2:
The system changes the organization parameter from purely chronological ordering to priority-based ordering for the high priority folder. By dynamically adjusting the organization criterion based on access frequency metrics, the system optimizes content retrieval efficiency while maintaining systematic storage.
2Ease of operation
If users manually create folders and select content items for organization, then content can be grouped by user-defined criteria, but the process must be repeated for each new item, which is time-consuming and tedious
Solution Approach 1:
The system automatically monitors user access patterns and self-organizes content items into high priority or low priority folders based on access frequency. When a content item is accessed above a threshold, it is automatically moved to the high priority folder without requiring user intervention. This eliminates the need for manual folder creation and content selection.
Solution Approach 2:
The system continuously monitors user access behavior and uses this feedback to dynamically adjust content organization. Access frequency data is collected and processed to automatically reorganize content, creating a closed-loop system that adapts to user needs over time without manual input.
3Device complexity
If all content items are stored in a single location, then storage is simple, but users cannot quickly access frequently used items among thousands of content items
Solution Approach 1:
The patent divides the content storage into two distinct segments: a high priority folder for frequently accessed content and chronological folders for other content. This segmentation creates a fast-access pathway for important content while maintaining simple chronological storage for the rest, optimizing both access speed and storage simplicity.
Solution Approach 2:
The system extracts frequently accessed content items from the main chronological storage and places them in a separate high priority folder. This extraction creates a dedicated fast-access area for important content, allowing users to quickly locate frequently used items without searching through the entire content library.
Data Source
AI summary
A method and device relate to prioritizing content items stored on a device and, more particularly, relate to automatically ordering highest priority content items stored on a device according to multiple criteria. The method and device enabling presentation, on a display of the device, the high priority content items in order of their total priority.