Social Graph Filtering for Photo Stream Relevance
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Solution Overview
Problem
In social networks, users are overwhelmed by continuous streams of photographs, making it difficult to view and appreciate photos of special interest, as most are of little interest and get lost in the flow.
Innovation Solution
A system and method that filters photographs based on a user's social graph and external signals, retrieving and ranking photos to present only the most interesting ones to the user, limiting dominance from a single source and displaying them in a visually appealing manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a continuous stream of photographs is provided to users, then users can view all photographs shared in the social network, but users are overwhelmed by the overwhelming numbers and find it difficult to view and appreciate photographs of special interest
Solution Approach 1:
The patent extracts and separates photographs of special interest from the continuous stream of all photographs. By identifying and extracting only the relevant photographs based on user social graphs and external signals, the system eliminates the overwhelming quantity of irrelevant content while preserving the ability to view all photographs when needed through the extracted subset.
Solution Approach 2:
The patent segments the continuous stream of photographs into distinct categories: photographs of special interest (extracted subset) and other photographs (remaining stream). This segmentation allows users to interact with different types of content through different interfaces - the extracted subset can be presented in a simplified manner while the full stream remains accessible through traditional browsing methods.
2Loss of information
If all photographs are presented to users, then users have access to complete information, but photographs of special interest are easily lost in the continuous flow
Solution Approach 1:
The system extracts photographs of special interest from the continuous flow by analyzing user social graphs and external signals. This extraction ensures that important photographs are separated from the bulk of less relevant content, preventing them from being lost in the continuous flow while maintaining access to the complete photograph stream.
Solution Approach 2:
The system uses feedback from user interactions and social graph data to continuously identify and extract photographs of special interest. By monitoring user behavior patterns and social relationships, the system dynamically adjusts which photographs are extracted and presented, ensuring that important content is consistently identified and preserved.
3Ease of operation
If photographs are filtered based on user social graphs and external signals, then users receive only photographs of special interest, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing user social graphs and external signals to identify photographs of special interest without requiring manual user input or configuration. The filtering mechanism operates autonomously using pre-established user profiles and real-time data analysis, reducing the need for complex user interaction while maintaining high customization.
Solution Approach 2:
The system performs preliminary action by pre-processing and storing user social graph data and affinity information before photograph filtering is needed. By preparing user profiles and relationship maps in advance, the system can quickly filter and extract relevant photographs without requiring complex real-time computation, thus reducing operational complexity.
Data Source
AI summary
The present disclosure comprises systems and methods for providing a stream of only those photographs (including those inter-mixed with videos and hybrid types (animated gifs, animated photo bursts, etc.)) that may be of interest to particular users in a social network based on consideration of user social graphs and other external signals generated for the photographs based on predefined criteria to determine user interest levels. The systems and methods obtain photographs, retrieve social graphs for particular users, evaluate and filter photographs, rank them, and limit the number of photographs provided for viewing from a single source. Accordingly, only photographs that are determined to be most interesting to particular users are provided for display to them.