Inherited User Rating via Content Feedback
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Solution Overview
Problem
Current online rating systems do not consider the interdependency between user ratings and content ratings, leading to inconsistencies where a user's high rating may not reflect the quality of their content or vice versa.
Innovation Solution
A method for determining user ratings in online systems that combines direct user ratings and content ratings, allowing for weighted scoring and rule-based processing to reflect a user's overall quality and engagement, incorporating both direct and inherited ratings to provide a more accurate representation of user value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current online rating systems rate users and content independently, then the rating process is simple and straightforward, but the ratings become inconsistent and do not reflect real-life expectations where user quality and content quality are interdependent
Solution Approach 1:
The patent combines the previously separate user rating system and content rating system into a unified rating framework. The processing unit now simultaneously determines both user ratings and content ratings, establishing an interdependency where user ratings consider content quality and content ratings reflect creator quality. This merging resolves the inconsistency between independent ratings while maintaining system coherence.
Solution Approach 2:
The patent implements a feedback mechanism where content ratings feed back into user ratings and vice versa. The processing unit uses content ratings as input when determining user ratings, and user ratings influence content evaluations. This circular feedback loop ensures that ratings are mutually reinforcing and reflect the real-life relationship between creators and their work, improving measurement precision.
2Measurement precision
If the system only uses direct user ratings, then the implementation is simple, but it fails to capture the quality of content created by users
Solution Approach 1:
The patent creates a universal rating mechanism that serves multiple functions simultaneously. The same rating infrastructure is used to evaluate both users and content, with the processing unit adapting the rating calculation based on whether the target is a user or content. This multi-functionality allows the system to assess user quality through content ratings without requiring separate evaluation systems, thus capturing content quality while maintaining implementation efficiency.
Solution Approach 2:
The patent segments the rating determination process into distinct components: direct user ratings, content ratings, and the synthesis of these into an overall user rating. The processing unit separately retrieves direct ratings and content ratings, then combines them according to weighted formulas. This segmentation allows the system to incorporate multiple data sources (increasing assessment precision) while managing complexity through structured processing.
3Measurement precision
If the system combines multiple rating sources with weighting, then the rating becomes more comprehensive and accurate, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent employs parameter changes by allowing the weighting factors in the rating formula to be adjusted based on system configuration and user preferences. The processing unit calculates ratings using variable weights for different rating sources (direct ratings, content ratings, etc.), enabling flexible optimization of accuracy versus processing power. This parametric approach allows the system to adapt computational intensity to available resources while maintaining comprehensive rating assessment.
Data Source
AI summary
A method, a computer-readable medium, and an online system for determining ratings of users of the online system. The online system enables each user to directly assign rating scores to other users of the online system and to assign rating scores to content items created by other users. The method comprises retrieving a first score indicative of rating scores directly assigned to a user of the online system by other users of the online system; retrieving a second score indicative of rating scores assigned to content items by other users of the online system, wherein the content items are created by the user; and determining a rating of the user based on the first and second scores. Each content item created by the user represents one of an online content published by the user in the online system and an activity initiated by the user within the online system.