Dynamic Page Classifier for Content Ranking
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Solution Overview
Problem
Current methods for viewing and interacting with content related to web pages are limited, requiring users to switch between browser windows and lacking effective mechanisms for determining which posts, images, or endorsements to present, especially when information from social networks is relevant to web pages.
Innovation Solution
A dynamic page classifier system that identifies web pages, retrieves related posts, determines if the page is dynamic or static, and generates a user interface element biased towards more recent or engaging content, providing a streamlined presentation of relevant content to users without additional storage or costly data requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users switch between browser windows to view web page content and social network content, then they can access both types of content, but user convenience and time efficiency deteriorate due to the need to manually switch windows
Solution Approach 1:
The patent combines web page content and social network content into a single unified interface. The system retrieves posts from social networks related to a specific web page and displays them together in one browser window, eliminating the need for users to switch between multiple windows and providing seamless access to both content types simultaneously
Solution Approach 2:
The patent introduces a dynamic page classifier as an intermediary component that automatically identifies whether a web page is dynamic or static and selectively retrieves relevant social network posts. This mediator enables the system to intelligently connect web page content with related social network content based on page characteristics, providing automated content aggregation without user intervention
2Loss of information
If the system retrieves and presents all posts related to a web page, then content completeness is improved, but processing time and computational resources worsen
Solution Approach 1:
The patent applies local quality by treating dynamic and static web pages differently. The dynamic page classifier identifies page characteristics and selectively applies different content retrieval strategies: for dynamic pages, it retrieves recent posts to capture current activity, while for static pages, it retrieves posts with higher engagement metrics. This targeted approach ensures relevant content is captured without processing unnecessary posts, improving efficiency while maintaining completeness
Solution Approach 2:
The patent changes retrieval parameters based on page dynamics. The system modifies the criteria for selecting social network posts depending on whether the page is dynamic or static, adjusting factors such as recency thresholds and engagement requirements. This parameter adaptation allows the system to optimize content retrieval for different page types, reducing processing load while preserving important information
3Measurement precision
If the system uses complex mechanisms to determine which posts to present, then content selection accuracy is improved, but system complexity and computational cost worsen
Solution Approach 1:
The patent implements a dynamic classification system that adapts its content retrieval strategy based on real-time page characteristics. The dynamic page classifier continuously assesses whether a page is dynamic or static and adjusts the post selection criteria accordingly, enabling accurate content selection through simple, adaptable rules rather than complex static algorithms
Solution Approach 2:
The system performs self-service by automatically classifying web pages and selecting relevant posts without requiring complex external analysis. The dynamic page classifier uses inherent page characteristics to determine the appropriate content retrieval strategy, enabling the system to make accurate content selection decisions through self-contained, simple logic rather than elaborate external mechanisms
Data Source
AI summary
A system comprising a processor and a memory storing instructions that, when executed, cause the system to identify a page on a website, retrieve a stream of posts related to the page, determine whether the page is dynamic, in response to the page being determined to be dynamic, modify the stream of posts related to the page biased toward including more recent posts, generate a user interface element for display of the stream of related content; and provide the user interface element for presentation to the user. The disclosure also includes similar methods and computer program products.