Boosting Digital Content Visibility via Close-Ties Scoring
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Solution Overview
Problem
As social networking services grow, users face overwhelming amounts of digital content, leading to missed readings due to the sheer volume of information distributed and interacted with, making it difficult to prioritize important items.
Innovation Solution
The method involves identifying a set of digital content items to be displayed to users by processing close-ties scores, which represent relationships between users and the importance of social circles, and boosting items with scores exceeding a threshold to promote their visibility on the user's page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the social network increases in size and distributes more digital content to users, then the quantity of information available to users increases, but the user's stream page becomes overwhelming and users miss reading digital content
Solution Approach 1:
The patent applies local quality by differentiating the display treatment of digital content based on the relationship strength between the user and the content creator. Items from close ties receive enhanced visual treatment (boosted display) while items from distant ties receive standard display, creating localized quality variations in the stream page that help users prioritize content without reducing overall content quantity
Solution Approach 2:
The system changes the display parameter (prominence/visibility) of digital content items based on the close-ties score. By dynamically adjusting the display parameters of different items according to relationship strength and engagement metrics, the system maintains information completeness while improving readability through parameter-based differentiation
2Loss of information
If all digital content items are displayed with equal prominence, then all content is visible to users, but important items cannot be distinguished from less important items
Solution Approach 1:
The patent implements local quality by applying different display treatments to different items in the stream based on their importance metrics. Close-ties items receive boosted display treatment while other items receive standard treatment, creating local quality variations that enable importance differentiation without hiding any content
Solution Approach 2:
The system uses visual changes (color, highlighting, or other visual indicators) to differentiate important items from less important items in the stream. This allows users to quickly identify and prioritize content based on visual cues that reflect the calculated importance scores
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for identifying a set of items of digital content displayed to a user; processing the set of items to identify a set of boost items, items within the set of boost items to be prominently displayed, processing comprising: receiving a close-ties score associated with a respective item, the close-ties score representing a relationship between the user and other users associated with the respective item and an importance of a social circle associated with the item to the user, determining that the close-ties score associated with the respective item exceeds a threshold close-ties score, and in response to determining that the close-ties score exceeds the threshold close-ties score, adding the respective item to the set of boost items; providing instructions for boosting a display of items in the set of boost items in a page displayed to the user.