Content Navigation System with Culling and Sampling Modules
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The vast and continuously growing volume of content on the Web makes it difficult for users to find highly relevant content due to the lack of effective tools for targeted exploration, with conventional browsing and searching systems being inadequate for efficient navigation across diverse sources and languages.
Innovation Solution
A content navigation system that includes a culling module to filter content based on parameters like local laws and customs, a sorter to organize content by user preferences, and a sampling module to present a customizable navigational guide, allowing users to efficiently access relevant content through modes like flying video or heat map displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional browsing and searching systems are used to access content, then users can access a wide range of content sources, but users experience difficulty finding highly relevant content due to the vast volume of available content
Solution Approach 1:
The patent introduces a content navigation system that acts as an intermediary between users and content sources. This system includes components that generate navigational guides and visualizations, mediating the interaction by pre-processing and organizing content from multiple sources before presentation to users, thereby making relevant content detection easier without reducing content coverage
Solution Approach 2:
The patent replaces manual browsing and searching mechanisms with automated systems that generate navigational guides and visual representations of content. These automated mechanisms substitute for the tedious manual process of browsing multiple sites and sorting content, efficiently identifying and presenting relevant content based on user preferences and criteria
2Ease of operation
If tagging services are used to organize content, then content discovery and recovery are enabled, but the result set remains substantially large and difficult to manage
Solution Approach 1:
The patent extracts and highlights only the most relevant content items from large tagged result sets. The content navigation system identifies and extracts specific content that matches user preferences and criteria, separating relevant items from the overwhelming bulk of tagged content, thereby making the result set manageable while preserving organization capabilities
Solution Approach 2:
The patent applies different organization and presentation qualities to different portions of content based on relevance. Instead of uniformly presenting all tagged content, the system applies local quality by emphasizing highly relevant content through navigational guides and visualizations, while de-emphasizing or organizing less relevant content differently, making the overall large result set easier to navigate
3Measurement precision
If users manually browse and sort content items at each site, then users can find content of interest, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent performs preliminary actions by pre-generating navigational guides and organizing content before users need to access it. The system pre-processes content from multiple sources, applies filtering and sorting criteria, and prepares visual representations in advance, so when users access the content, the tedious manual browsing and sorting has already been completed, maintaining selection accuracy while dramatically reducing browsing time
Data Source
AI summary
Methods and systems are described for navigating a corpus of content items stored in one or more information repositories within a distributed communications system. The content items may include video feeds, audio feeds, television broadcasts, website, a web log or the like. Using any browser application, the user views content items presented in an interactive scroll display. Modules are included for filtering, sorting and sampling content to ensure delivery of relevant high-quality content to the user. A feedback mechanism is also included for refining relevance filtering, sorting and sampling processes.