Boosting Parameter for Small Account Content Ranking
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Solution Overview
Problem
Conventional social networking systems tend to rank content items from top accounts more highly than those from small accounts, leading to lower exposure and feedback for small account content items, which can discourage content production from users associated with small accounts.
Innovation Solution
A boosting parameter is introduced to adjust the scores of content items from small accounts, based on feedback distribution, using a proportional-integral-derivative (PID) controller to optimize the distribution of feedback and increase the visibility of small account content items, thereby promoting overall content production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional ranking algorithms are used to rank content items, then content items from top accounts receive higher exposure and feedback, but content items from small accounts receive lower exposure and feedback
Solution Approach 1:
The patent applies parameter changes by introducing a boosting parameter that modifies the ranking scores of content items from small accounts. This parameter dynamically adjusts the visibility and exposure of small account content in feeds, transforming the feedback distribution mechanism to favor underrepresented accounts while maintaining overall system productivity
Solution Approach 2:
The patent implements feedback mechanisms through PID controllers that continuously monitor the distribution of feedback across different account types. The system uses this feedback to dynamically adjust boosting parameters, creating a closed-loop control system that optimizes feedback distribution equity while maintaining content production incentives
2Ease of operation
If a boosting parameter is introduced to increase visibility of small account content items, then feedback distribution becomes more even, but system complexity increases
Solution Approach 1:
The patent introduces intermediary components in the form of PID controllers that mediate between the raw content ranking signals and the final boosted rankings. These controllers act as intermediaries that automatically adjust boosting parameters based on feedback distribution metrics, reducing the need for manual system configuration and managing complexity through automated control mechanisms
Solution Approach 2:
The ranking system implements self-service through automated PID controllers that continuously monitor feedback distribution and autonomously adjust boosting parameters. The system serves itself by automatically optimizing the balancing act between top accounts and small accounts without requiring external intervention, thereby managing complexity through self-regulation
Data Source
AI summary
Systems, methods, and non-transitory computer readable media can determine a value of a boosting parameter, wherein the boosting parameter is indicative of a value of feedback to a first account type. Respective scores of a plurality of content items that are candidates for a feed of a user can be determined, wherein the plurality of content items are associated with at least one of the first account type or a second account type. Respective scores of content items associated with the first account type in the plurality of content items can be adjusted based on the value of the boosting parameter. The plurality of content items can be ranked based on the respective scores of the plurality of content items.