Automated Content Summary Generation in Web CMS
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Solution Overview
Problem
Existing web content management systems lack the ability to automatically generate summaries for content items, requiring manual creation which is time-consuming and inefficient, especially when content needs to be adapted for different devices with varying display capabilities.
Innovation Solution
A method for automatically generating content summaries in web content management systems using a text mining engine, which processes textual information and generates summaries based on specified parameters such as size, number of lines or characters, and device type, allowing for independent storage and editing of summary content items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual creation of content summaries is used, then content accuracy and relevance are maintained, but time consumption and author workload increase significantly
Solution Approach 1:
The system enables self-service automated summary generation where the text mining engine processes content items autonomously based on user-defined parameters, eliminating the need for manual summary creation while maintaining consistency and scalability across multiple content items
Solution Approach 2:
The patent replaces the manual mechanical process of summary creation with an automated text mining engine that uses computational algorithms to generate summaries, substituting human effort with automated processing while preserving the essential function of creating relevant content summaries
2Adaptability or versatility
If fixed-size summaries are generated, then processing simplicity is maintained, but adaptability to different device display capabilities is reduced
Solution Approach 1:
The system implements dynamic summary generation where the summary size and format are not fixed but can be adjusted based on user-defined parameters and device characteristics, allowing the same content item to generate different summary sizes for different display contexts without requiring multiple separate processes
Solution Approach 2:
The text mining engine serves multiple functions by generating summaries of varying sizes based on a single unified process that accepts different parameter inputs, making the system versatile enough to handle multiple device types and display requirements without needing separate specialized tools for each scenario
3Adaptability or versatility
If content summaries are embedded within content items, then data storage simplicity is maintained, but content reusability and independence are limited
Solution Approach 1:
The patent segments the content structure by separating summaries from their parent content items into independent, reusable components. Each summary becomes a distinct entity that can be independently managed, stored, and reused across different contexts without being tied to a single content item, enabling greater flexibility in content assembly and deployment
Data Source
AI summary
Methods for generating content summaries in a web content management service, wherein in one embodiment a digital page editor and a component browser are launched to enable selection of a first content item. A summary of the first content item is automatically generated according to parameters that may have default values or values set by a user. The parameters may specify a size for the summary as a percentage of the first content item's size, as a particular number of lines, characters or words, as a size for a particular type of device, etc. The automatically generated summary is provided to the digital page editor, which can edit it and add it to the digital page. The summary is stored in a content repository as an independent summary content item with its own metadata.