Content Prioritization via User Profile Relevance Heuristics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional content storage and retrieval systems overwhelm users with irrelevant information, making it difficult to locate specific electronic files due to hierarchical directory structures and the sheer volume of files, leading to user frustration and inefficiency.
Innovation Solution
A content storage and retrieval system that prioritizes content based on user profile relevance by identifying related content instances through predefined relationship heuristics, determining relevance between user profiles, and displaying prioritized content using a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional hierarchical directory structures are used to organize electronic files, then the system can store vast numbers of files in a structured manner, but it becomes increasingly difficult to locate specific files as the number of files and hierarchical levels increases
Solution Approach 1:
The patent introduces an intermediary search system that mediates between the user and the hierarchical directory structure. This intermediary layer provides alternative access paths through tags, categories, and relationships, allowing users to locate files without navigating through multiple hierarchical levels. The intermediary search interface translates user queries into efficient file location operations.
Solution Approach 2:
The patent adds another dimension to file organization by implementing multi-dimensional indexing alongside the traditional hierarchical structure. Files can be accessed not only through their directory path but also through tags, categories, and relationship-based indices. This dimensional expansion allows users to approach file location from multiple angles, reducing the complexity of navigation in large file systems.
2Quantity of substance
If traditional content storage systems return all related content to a user request, then the user receives comprehensive information, but the user is overwhelmed by the volume of information and finds it unhelpful
Solution Approach 1:
The patent applies local quality by providing different levels and types of information presentation based on user context and preferences. Rather than uniformly presenting all related content, the system selectively emphasizes certain results based on their relevance, user profile, and query context. This allows the information volume to be maintained while improving usability through differentiated presentation quality.
Solution Approach 2:
The patent implements partial action by selectively filtering and prioritizing search results rather than presenting all possible related content. The system identifies and presents the most relevant subset of results, using relevance scoring, user profiles, and contextual analysis to determine which content to display prominently. This partial presentation approach maintains comprehensiveness while eliminating information overload.
Data Source
AI summary
In an exemplary method, at least one computing device 1) stores a plurality of content instances associated with a plurality of user profiles, 2) determines, based on a predefined relevance heuristic, a relevance between a user profile and each of the other user profiles included in the plurality of user profiles, 3) prioritizes, based on the determined relevance between the user profile and each of the other user profiles, the plurality of content instances relative to one another, and 4) provides, for display, data representative of the prioritized plurality of content instances.