Social Comment Ranking by User Consumption Depth
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Solution Overview
Problem
Social networking platforms face issues where users' comments are not prioritized based on the depth of their understanding of the content, leading to thoughtful insights being overshadowed by superficial opinions, and readers do not receive the most relevant information due to the lack of consideration of users' engagement time with the content.
Innovation Solution
A method and system that detect and track users' engagement time with content on social network web pages, determining a 'depth of consumption' to rank comments based on the time spent, ensuring that comments from users who have thoroughly considered the material are prioritized and displayed accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If comments are displayed in traditional order (e.g., chronological or popularity-based), then ease of operation is maintained, but the quality and relevance of information received by users deteriorates
Solution Approach 1:
The system changes the parameter used for sorting comments from traditional metrics (chronological order, like count) to a new parameter: depth of consumption score. This score is calculated based on multiple factors including time spent reading the article, scroll depth, and re-reading behavior, thereby transforming the display order to prioritize thoughtful engagement over superficial interaction
Solution Approach 2:
The patent introduces an intermediary component - the depth of consumption calculation system - that acts as a mediator between user engagement data and comment display. This intermediary processes raw engagement metrics (time spent, scroll depth) and transforms them into a prioritization score that then determines comment display order, separating the complexity of evaluation from the simplicity of display
2Loss of information
If all user comments are treated equally regardless of engagement time, then ease of operation is maintained, but loss of information quality occurs as thoughtful insights are drowned out by superficial opinions
Solution Approach 1:
The system performs preliminary action by calculating the depth of consumption score for each user before they submit a comment. The system tracks engagement metrics (time spent on article, scroll depth, re-reading) and pre-computes a prioritization score that will be used to weight the user's future comments, thereby preparing the differentiation mechanism in advance rather than after comment submission
Solution Approach 2:
The patent segments the comment evaluation process into distinct components: engagement tracking (time spent, scroll depth), score calculation (depth of consumption metric), and weighted display prioritization. This segmentation allows the system to maintain simple comment submission functionality while implementing sophisticated ranking through separate, modular components
3Measurement precision
If the system tracks detailed user engagement time and behavior, then comment prioritization accuracy improves, but device complexity and data processing requirements increase
Solution Approach 1:
The system extracts only the most relevant engagement metrics from complex user behavior data - specifically time spent reading the article, scroll depth, and re-reading frequency. By extracting these key indicators rather than processing all possible user interactions, the system achieves precise measurement of engagement quality while maintaining relatively simple tracking infrastructure
Solution Approach 2:
The depth of consumption score serves multiple functions: it weights comment prioritization, influences feed ranking, and can inform recommendation algorithms. This multi-functional use of a single calculated metric reduces the need for separate complex systems for each function, as the same engagement measurement serves multiple purposes in the social media platform
Data Source
AI summary
Prioritizing online comments on social network web page is disclosed. An activity of a user consuming a content presented on the social network web page is detected. Time spent by the user consuming the content is determined. Responsive to the user entering a comment on the content, a depth of consumption of the content by the user is determined based on the time spent by the user consuming the content. The comment entered by the user is ranked among a plurality of comments entered by one or more of the plurality of users based on the depth of consumption. The comment entered by the user is presented on the social network web page in the order of the ranking.