Automated Content Aggregation System for Network Sites
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Solution Overview
Problem
The disorganization of content distribution on the Internet, where users face redundancy and difficulty in finding specific information across multiple news sources, and existing categorization methods rely heavily on manual intervention and broad, non-specific categories.
Innovation Solution
A system and method for automatically retrieving, categorizing, and aggregating content from multiple network sites by programmatically analyzing content items to associate them with predefined categories, allowing for the creation of category-specific web pages that provide fresh and pertinent content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual categorization and aggregation of content is performed, then content can be organized into categories, but the process requires significant manual intervention and cannot keep pace with the growing volume of internet content
Solution Approach 1:
The system enables content items to automatically categorize themselves by analyzing their own text content and matching it against predefined category criteria, eliminating the need for manual categorization while maintaining high-speed automated aggregation of content from multiple sources
Solution Approach 2:
The patent replaces manual mechanical categorization processes with automated computer-based text analysis and pattern matching systems that can process large volumes of content rapidly, substituting human editorial work with algorithmic classification
2Ease of operation
If broad, general categories are used for content aggregation, then content can be easily organized, but users cannot find specific or obscure information efficiently
Solution Approach 1:
The system segments the categorization process into multiple hierarchical levels, allowing content to be classified into both broad categories for easy navigation and specific sub-categories for precise information retrieval, creating a structured taxonomy that balances accessibility with specificity
Solution Approach 2:
The patent applies different categorization granularities to different parts of the content ecosystem, using broad categories at the top level for ease of access and increasingly specific categories at lower levels for precise information retrieval, matching the categorization depth to user needs
3Adaptability or versatility
If content is distributed across multiple news sources, then users can access diverse information, but redundancy increases and users must visit numerous sites to find comprehensive coverage
Solution Approach 1:
The system merges content from multiple diverse news sources into unified category-specific aggregations, automatically collecting and organizing articles from various sources into single accessible locations that eliminate redundancy while preserving content diversity
4Measurement precision
If search sites are used to locate specific content, then users can find obscure categories, but the search process requires manual input and review of search results
Solution Approach 1:
The system performs preliminary categorization actions by pre-analyzing and organizing content into categories before users arrive, so that when users access category pages, the content is already sorted and ready for immediate viewing without requiring manual search queries or result review
Data Source
AI summary
A plurality of content items are retrieved from multiple network sites. Content from each content item is programmatically analyzed in order to associate that content item with one or more categories. The one or more categories may be part of a larger set of predefined categories. A network page is assigned to one or more corresponding categories in the set of predefined categories. At least some content is provided on the network page using one or more content items that were associated with the one or more categories assigned to that network page.