Webpage Evaluation Using Change Metrics and User Ratings
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Solution Overview
Problem
Existing webpage management systems fail to effectively evaluate and rank webpages based on changes in content and user ratings, leading to irrelevant results due to the lack of consideration for actual changes made to the webpages.
Innovation Solution
A system and process that evaluates webpages by determining a metric of change based on text, images, and ratings, using a rating tool to assign webpage scores that are weighted according to user attributes, and an information retrieval tool to rank webpages based on these scores, providing users with relevant results and feedback to administrators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If webpage versioning tracks every change with a new version number, then change tracking is comprehensive, but evaluation precision deteriorates because all changes are treated equally regardless of actual impact
Solution Approach 1:
The patent changes the parameter of webpage evaluation from simple version counting to a multi-factor scoring system that considers rating changes, content modification depth, and user feedback. This transforms the evaluation from a binary version increment to a nuanced parameter-based assessment that distinguishes between minor and significant changes.
Solution Approach 2:
The patent replaces the mechanical version numbering system with an automated evaluation mechanism that uses algorithms to analyze rating data, content changes, and user interactions. This substitution enables precise measurement of actual change impact without manual intervention.
2Reliability
If webpage search returns all matching webpages, then result completeness is high, but result relevance deteriorates due to lack of prioritization based on quality and recency
Solution Approach 1:
The patent implements dynamic ranking of search results based on real-time webpage scores that reflect current quality, recency, and user satisfaction. Instead of static listing, results are continuously re-ranked as webpage evaluations update, ensuring the most relevant results appear first.
Solution Approach 2:
The patent incorporates user feedback loops where search result interactions and subsequent user ratings feed back into the webpage evaluation system. This feedback mechanism continuously improves result relevance by learning from actual user behavior and preferences.
3Quantity of substance
If user ratings are collected from all users, then data quantity is maximized, but data quality deteriorates due to lack of differentiation among user perspectives
Solution Approach 1:
The patent applies local quality by weighting ratings differently based on user attributes and relevance to the specific webpage context. Instead of treating all ratings uniformly, the system identifies and emphasizes ratings from users with relevant expertise, roles, or interaction patterns specific to each webpage.
Solution Approach 2:
The patent transforms the single-dimensional rating count into a multi-dimensional evaluation that incorporates user attributes, rating recency, and contextual relevance. This parameter expansion allows the system to process large quantities of ratings while maintaining precision through differentiated analysis.
Data Source
AI summary
Systems and methods may manage webpages in a set of webpages. The set of webpages may include webpages in an intranet and/or an extranet of an enterprise. Queries may be performed on the webpages and a list of results determined based at least in part on query terms and webpage scores. Webpage scores may be based on ratings of webpages and/or metrics of change. A metric of change of a webpage may be based at least in part on changes in text, images, and/or ratings of the webpage.