Dynamic Commentary Placement in Electronic Articles
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Solution Overview
Problem
Electronic articles hosted by article hosts remain relatively static and un-personalized, with comments often not being relevant or easily consumable by readers, as they are appended at the end and presented in chronological order, limiting user engagement and customization.
Innovation Solution
A computer-readable storage medium is configured to store instructions that allow a processor to receive user requests and process comments to dynamically place relevant commentary within the electronic article at specific locations based on user preferences, opinions, and natural language processing, enabling customization and real-time updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If comments are appended to the end of electronic articles in chronological order, then all comments can be preserved, but readers cannot easily consume relevant comments and the article remains static and un-personalized
Solution Approach 1:
The system inserts comments at specific locations within the electronic article rather than appending all comments to the end. Comments are placed locally near the content they reference, making them easily consumable by readers in context while allowing the article to remain dynamically adaptable to different reader preferences and opinions.
Solution Approach 2:
The electronic article transitions from a static format to a dynamic one where comments are selectively inserted based on processing of comment relevance, user preferences, and opinion alignment. The article content and structure adapt in real-time to provide personalized reading experiences while maintaining ease of comment consumption.
2Loss of information
If all comments are displayed in the electronic article, then complete commentary is available, but the article becomes cluttered with irrelevant or undesirable content
Solution Approach 1:
The system extracts and selects only relevant comments from the complete set of comments associated with the electronic article. By processing comments to identify those that are relevant and desirable, the system removes irrelevant or undesirable content while preserving important commentary, thus preventing information loss of meaningful comments while eliminating harmful factors.
Solution Approach 2:
The system processes comments and uses feedback mechanisms to determine relevance and desirability. By analyzing comment content, user preferences, and opinion alignment, the system provides feedback on which comments should be inserted into the article, ensuring that only valuable commentary is displayed while filtering out irrelevant or harmful content.
3Stability of the object's composition
If electronic articles remain static with fixed content, then article integrity is maintained, but user engagement and customization are limited
Solution Approach 1:
The electronic article transforms from a static composition to a dynamic one where comments are selectively inserted based on processing of relevance, user preferences, and opinion alignment. The article maintains its core integrity while becoming adaptable to different readers through real-time customization of comment placement and selection.
Solution Approach 2:
The system performs preliminary processing of comments to identify relevant content, user preferences, and opinion alignments before the article is served to readers. This advance preparation enables the article to be customized for each reader while maintaining structural integrity, as the comment selection and placement decisions are made in advance based on processed information.
Data Source
AI summary
In one general aspect, a computer-readable storage medium can be configured to store instructions that when executed cause at least one processor of a computer system to perform a process. The process can include receiving from a user account an indicator of a request for an electronic article hosted at an article host, and receiving an indicator of a location within the electronic article targeted for placement of at least a portion of a comment within the electronic article. The process can also include processing, in response to the indicator of the request, a plurality of comments associated with the electronic article and posted via a plurality of user accounts, and placing, based on the processing and before the electronic article is served, at least a portion of a comment from the plurality of comments at the location to customize the electronic article for the user account.