Dynamic Content Optimization System for Automated Website Maintenance
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Solution Overview
Problem
Businesses face impracticalities in maintaining current and relevant content on their websites, especially in terms of html markup and quality control, which hinders their search engine optimization and visitor engagement.
Innovation Solution
A dynamic content optimization system comprising a collection engine, news server, optimization engine with a filter engine, transformation engine, and markup engine that automates the process of selecting and optimizing content by preprocessing, comparing, and marking up articles for display on client websites, using techniques like word embeddings and one-hot encoding to ensure relevance and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual content maintenance is performed, then quality control and relevance standards can be ensured, but productivity and ease of operation deteriorate due to time-consuming manual processes
Solution Approach 1:
The system enables self-service by allowing the website to automatically select, optimize, and maintain its own content without human intervention. The automated content selection system evaluates news articles against predefined criteria and updates the website dynamically, making the system serve itself rather than requiring manual content maintenance.
Solution Approach 2:
The patent replaces the mechanical manual process of content selection and HTML markup with an automated computational system. The system uses algorithms to evaluate content relevance, extract information, and generate optimized HTML automatically, substituting human manual operations with automated mechanical processes.
2Reliability
If manual HTML markup and optimization is performed, then search engine optimization can be improved, but ease of operation and time required deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-defining optimization criteria, keywords, and HTML structures before content needs to be updated. When new content is added, the system automatically applies the pre-established optimization rules, eliminating the need for manual HTML markup and saving time while maintaining SEO effectiveness.
Solution Approach 2:
The patent replaces manual HTML markup operations with automated computational processes that automatically generate optimized HTML code. The system uses algorithms to transform raw content into SEO-optimized HTML format, substituting time-consuming manual coding with automated mechanical processes.
3Productivity
If automated content selection is implemented, then productivity improves, but device complexity increases due to multiple processing engines
Solution Approach 1:
The system applies segmentation by dividing the content optimization process into distinct functional modules: a content selection engine that evaluates news articles, a transformation engine that processes and standardizes content data, and a markup engine that generates HTML. This modular segmentation allows each component to perform its specific function independently, managing overall system complexity through structured organization.
Solution Approach 2:
The patent implements universality by creating a multi-functional automated system where a single content selection engine can handle multiple tasks including content evaluation, relevance assessment, and optimization. The transformation engine serves multiple purposes by standardizing different content formats, making the system more efficient despite the increased complexity of integrating multiple functions.
Data Source
AI summary
Embodiments of the present invention are related to a dynamic content optimization system including a collection engine, a news server, an optimization engine including a filter engine and a markup engine, an intake module, a client setup engine, a client website with an optimized content display module, and an administrative override. The system includes a learning track and an autonomous track and is configured to create the client website using data gathered from the collection engine. The collection engine is structured to gather outside content for storage within the news server and forward it to the optimization engine. The optimization engine is operable to retrieve content from the news server, preprocess the content for comparison against previously rejected data, compare the content for rejection, markup non rejected content and forward the marked up non-rejected content to the content display module for display on the client website.