Comment Ranking System Using Objective and Subjective Scoring
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Solution Overview
Problem
Users are overwhelmed by the vast amount of comments available for documents on the web, making it difficult to identify the most relevant and useful comments amidst a large number of irrelevant ones.
Innovation Solution
A system and method that rank comments based on both objective and subjective parameters, where objective scores are independent of the user and subjective scores are tailored to the individual user's preferences, interests, and interactions, combining these scores to provide a personalized ranking of comments for presentation with the document.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all available comments are presented to users, then the completeness of information is improved, but the information overload and difficulty in identifying relevant comments increases
Solution Approach 1:
The patent replaces manual comment filtering with an automated ranking system that uses machine learning algorithms and processing components to automatically score and rank comments based on multiple criteria, substituting human effort with computational processes
Solution Approach 2:
The patent introduces multiple ranking parameters including objective scores (quality, relevance, recency) and subjective scores (user preferences, interests, interaction history) to transform the single-dimension comment display into a multi-parameter ranking system that dynamically prioritizes comments
2Stability of the object's composition
If comments are ranked using only objective criteria, then the ranking consistency is improved, but the personalization and relevance to individual users decreases
Solution Approach 1:
The patent merges two distinct ranking approaches by combining objective scores (generated by processing components based on comment attributes like quality, relevance, and recency) with subjective scores (derived from user profiles, preferences, and interaction history) into a unified ranking system that achieves both consistency and personalization
3Ease of operation
If a personalized ranking system is implemented, then the relevance of comments to users is improved, but the system complexity increases
Solution Approach 1:
The patent segments the comment ranking system into distinct functional components: processing components that generate objective scores based on comment attributes, user profile components that capture subjective user characteristics, and a ranking component that integrates both score types. This modular segmentation manages system complexity by dividing the overall function into manageable, independent modules
Data Source
AI summary
A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.