Comment Relevance Ranking for Social Network Usability
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Solution Overview
Problem
Networked services face inefficiencies due to the display of irrelevant comments, which wastes screen real estate, consumes electronic resources, and increases processor workload, especially on mobile devices with limited screen size and power.
Innovation Solution
A system that ranks comments based on member, comment, and commenter features, such as professional identity, relevance, and interaction data, to prioritize and display relevant comments more efficiently, using a scoring and ranking module to optimize comment presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all comments are displayed in chronological order, then completeness of information is improved, but screen real estate efficiency deteriorates
Solution Approach 1:
The patent extracts and separates relevant comments from irrelevant comments, displaying only the relevant subset to the user. This is achieved through a filtering system that identifies and removes low-quality or irrelevant comments from the display, thereby reducing screen real estate consumption while maintaining access to complete information in the database.
Solution Approach 2:
The patent applies different quality standards to different comments based on their relevance to the user. Rather than treating all comments uniformly, the system evaluates each comment's quality and relevance locally, displaying high-quality relevant comments prominently while filtering out low-quality irrelevant ones, thus optimizing screen real estate usage.
2Loss of information
If all comments are displayed, then information completeness is improved, but electronic resource consumption deteriorates
Solution Approach 1:
The system extracts and transmits only relevant comments to the user's device, reducing bandwidth consumption and device resource usage. By filtering out irrelevant comments server-side before transmission, the patent minimizes electronic resource consumption while preserving access to complete information in the database.
3Loss of information
If all comments are displayed, then information completeness is improved, but processor workload deteriorates
Solution Approach 1:
The patent performs comment filtering and relevance evaluation server-side before transmission to the user's device. This extracts the processing burden from the user's device and relocates it to the server, thereby reducing local processor workload while maintaining information completeness through database storage.
4Ease of operation
If relevant comments are prioritized, then usability is improved, but system complexity deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where user interactions with comments (such as liking, sharing, or marking as helpful) are used to refine and improve the relevance ranking algorithm over time. This feedback loop enables the system to learn from user behavior and automatically improve usability without requiring manual intervention or complex configuration.
Solution Approach 2:
The system employs automated algorithms to evaluate comment relevance and quality without requiring manual review or user intervention. The relevance ranking system self-adjusts based on predefined criteria and user feedback, enabling the system to serve users effectively while keeping operational complexity manageable.
Data Source
AI summary
Techniques for enhancing usability and electronic resource efficiency using comment relevance are disclosed herein. In some embodiments, a comment relevance system receives member feature data, including professional identity data such as professional experience or professional skill, and at least one of comment feature data and commenter feature data for comments for post on a social networking service, generates a score for each comment based on the member feature data and the comment or commenter feature data, ranks the comments based on the scores, and causes one or more of the comments to be displayed in a particular position based on the ranking. In some embodiments, the member feature data comprises professional identity data of a member of the social networking service, the comment feature data indicates at least one attribute of the comment, and the commenter feature data indicates at least one attribute of the commenter of the comment.