Quality Score System for Social Media Content Prioritization
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Solution Overview
Problem
Social networking services face the challenge of overwhelming users with irrelevant and low-quality digital content as their social networks grow, leading to a need for effective content filtering and prioritization.
Innovation Solution
The method involves generating quality scores for digital content items based on author-specific status scores and item-specific content scores, which are used to determine the order of items displayed in a user's stream page, prioritizing higher quality and more relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a user's social network increases in size, then the amount of digital content distributed to the user increases, but the stream page becomes overwhelming with irrelevant and low-quality content
Solution Approach 1:
The patent segments the stream page content by dividing it into different sections or categories based on quality scores. High-quality content is separated and prioritized in a premium section, while lower-quality content is placed in a standard section, allowing users to navigate between segments rather than being overwhelmed by a single mixed list.
Solution Approach 2:
The patent extracts high-quality content from the general stream and places it in a dedicated premium section. By taking out the most valuable content and separating it from the rest, the system prevents the stream page from becoming overwhelming while ensuring that important content receives appropriate visibility.
2Loss of information
If all distributed digital content is displayed to the user, then completeness of information is improved, but time efficiency and relevance are reduced
Solution Approach 1:
The patent applies preliminary action by pre-calculating and assigning quality scores to digital content items before they are displayed to users. This advance evaluation allows the system to prioritize and organize content based on quality metrics, so that when users view their stream, high-quality content is already positioned for optimal visibility, eliminating the need for users to manually search through irrelevant content.
Solution Approach 2:
The patent changes the parameter of content prioritization from traditional metrics (such as recency or author connectivity) to quality scores that evaluate content relevance, engagement potential, and user interest. This parameter transformation enables the system to filter and rank content in a way that improves time efficiency while maintaining information completeness.
3Device complexity
If traditional content distribution methods are used, then system simplicity is maintained, but content quality and relevance deteriorate
Solution Approach 1:
The system performs preliminary quality assessment and scoring of digital content items before distribution. By evaluating content quality in advance using automated algorithms that consider engagement metrics, user preferences, and content characteristics, the system can prioritize high-quality content without requiring complex manual review processes, thus maintaining operational simplicity while improving content reliability.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for storing a plurality of items, each item including digital content, for each item of the plurality of items, generating a quality score to provide a plurality of quality scores, each quality score indicating a quality of an associated item and being based on at least one of a status score and a content score, the status score being associated with an author user of a respective item and the content score being associated with digital content provided in the respective item, determining an order of items based on respective quality scores, and transmitting instructions to display items to a user based on the order.