Content Server Tagged Data Crawler for Automated Updates
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Solution Overview
Problem
Content providers face challenges in managing and updating numerous webpages with dynamic content, such as product prices and descriptions, across multiple online platforms, requiring manual updates that are time-consuming and prone to errors.
Innovation Solution
A computer-implemented method and system that uses a content server to crawl documents with reference tags, identify and store tagged data, and assemble content items dynamically in response to requests, allowing for automatic updates and generation of new content based on detected changes, thereby reducing the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual updates are used to maintain content accuracy, then content can be updated, but time consumption and error rates increase
Solution Approach 1:
The system enables self-service content updates by automatically detecting changes in source documents and propagating them to content items without requiring manual intervention. The crawler continuously monitors source documents, extracts updated information, and automatically updates corresponding content items, allowing the system to maintain itself without human effort.
Solution Approach 2:
The system implements feedback mechanisms where updated source document information is automatically fed back into the content management system. The crawler detects changes in source documents and triggers automatic updates to content items, creating a closed-loop system that continuously maintains accuracy without manual rework.
2Ease of operation
If multiple webpages are managed manually, then content control is maintained, but system complexity increases
Solution Approach 1:
The system introduces an intermediary content server that acts as a mediator between source documents and content items. This server automatically crawls source documents, extracts information, and updates content items, simplifying the overall system architecture by centralizing the update logic and eliminating the need for manual coordination across multiple webpages.
Solution Approach 2:
The system segments content management into separate modular components: a crawler module for monitoring source documents, an extraction module for identifying relevant information, and an update module for propagating changes to content items. This segmentation allows each component to be independently optimized and maintained, reducing overall system complexity.
3Productivity
If automated content generation is implemented, then productivity increases, but data accuracy requirements increase
Solution Approach 1:
The system uses feedback loops where the crawler continuously monitors source documents for changes and automatically updates content items. This ensures that automated content generation is always based on the most current and accurate source data, maintaining high data accuracy while preserving the productivity benefits of automation.
Solution Approach 2:
The system performs preliminary actions by pre-crawling and indexing source documents before content generation is needed. This allows the system to quickly generate content items based on pre-processed information, increasing productivity while maintaining accuracy through systematic data preparation.
Data Source
AI summary
Methods, and systems, including computer programs encoded on computer-readable media, for managing content associated with a content campaign of a content provider are disclosed herein. In one aspect, the present disclosure is directed to a system of generating and updating online content using standardized tagged data. The system may periodically crawl a document that includes one or more document reference tags. The system may identify at least one document reference tag and corresponding tagged data. The system may receive a request for content to display. The system may select an item of content comprising a content reference tag corresponding to the at least one document reference tag. Responsive to the request for content, the system may replace the content reference tag with the corresponding tagged data to assemble an item of content. The system may transmit the assembled content for display.