Smart Posts Visual Cues Feed Noise Reduction
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Solution Overview
Problem
Existing feed-based systems fail to effectively filter and prioritize posts, leading to noise and making it difficult for users to identify the most relevant content, as important posts are often lost amidst a 'fire hose' of information.
Innovation Solution
Implementing smart posts and clumped feed items that apply intelligence by using smart criteria, such as thresholds and analytics, to dynamically generate summary posts that highlight high-priority content, with visual cues to distinguish important posts, and allowing users to save searches and pin relevant information for later review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all posts are displayed in the feed without filtering, then complete information is provided to users, but noise increases and relevant content becomes difficult to identify
Solution Approach 1:
The patent segments the feed into different types of posts (smart posts with visual cues versus regular posts) and applies different presentation rules to each segment. Smart posts that meet specific criteria are highlighted with distinct visual cues, while other posts maintain their standard appearance, allowing users to quickly identify important content without losing access to complete information.
Solution Approach 2:
The patent applies local quality by giving certain posts (smart posts) distinct visual characteristics such as icons, colors, or formatting differences compared to regular posts. This localized differentiation allows important posts to stand out in specific areas of the feed without changing the overall feed structure or removing any content.
2Difficulty of detecting and measuring
If visual cues are added to highlight important posts, then relevance identification is improved, but device complexity increases
Solution Approach 1:
The patent extracts the complexity of determining post importance into a separate smart post generation process. The system identifies which posts meet smart criteria and generates smart posts with visual cues, separating this decision-making logic from the main feed display mechanism. This extraction allows the feed system to remain relatively simple while still providing sophisticated relevance detection.
Solution Approach 2:
The patent introduces smart posts as an intermediary layer between the raw feed data and the user interface. Rather than directly modifying the feed display system with complex filtering logic, the patent uses smart posts as a mediator that carries visual cue information, simplifying the overall system architecture while enabling advanced relevance detection.
3Productivity
If smart criteria and analytics are applied to generate summary posts, then content prioritization is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-determining which posts should be marked as smart posts based on defined criteria. The system analyzes posts and applies smart criteria in advance, generating smart posts with visual cues before they are displayed in the feed. This preliminary processing allows for efficient content prioritization during feed generation without requiring complex real-time analysis when users view the feed.
Data Source
AI summary
Methods and systems are provided for reducing noise in a social media feed of the type including successive posts each having a substantially homogeneous format. The method may involve: identifying a plurality of related updates to a record; configuring a single smart post to include underlying content from each of the plurality of related updates, and a visual cue distinct from the substantially homogeneous format; and displaying the smart post in the feed.