Social Network Content Scoring Based on User Attributes
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Solution Overview
Problem
Conventional social networking systems often present users with content items or connections that they have minimal interest in, leading to user disengagement due to irrelevant content and connections.
Innovation Solution
A social networking system retrieves user attributes and content item characteristics to generate interest scores, selecting and presenting content items and users based on similarity and relevance, using a weighted scoring system to optimize content presentation and user connection recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional social networking systems present content items to users based on connection relationships, then users can access content from connected users, but users may be presented with content items in which they have minimal interest leading to disengagement
Solution Approach 1:
The system changes the parameters for content selection from purely connection-based criteria to a hybrid model that incorporates user attributes (demographic information, actions, connections) and content item characteristics (attributes, user interactions, temporal information). This parameter expansion enables the system to match content to user interests more accurately while maintaining engagement.
Solution Approach 2:
The system introduces an intermediary scoring mechanism that acts as a mediator between user attributes and content items. The score generated by comparing user attributes to content characteristics serves as an intermediary evaluation layer, filtering and ranking content items based on their relevance to individual users before presentation.
2Quantity of substance
If the system presents all content items from connected users, then users have access to diverse content, but the system complexity increases due to need to evaluate and select content
Solution Approach 1:
The system transforms the content selection process by introducing measurable parameters (scores) that quantify the relationship between user attributes and content characteristics. This parameterization enables automated, systematic evaluation rather than manual or heuristic selection, managing complexity through structured computation.
Solution Approach 2:
The system performs self-service by automatically generating and using scores to filter and select content items without requiring manual intervention. The scoring mechanism autonomously evaluates content relevance based on user attributes and content characteristics, reducing the operational complexity of content curation.
3Measurement precision
If the system uses detailed user attribute analysis and content characteristic evaluation, then content relevance improves, but the processing time and computational resources increase
Solution Approach 1:
The system optimizes the balance between precision and time by defining specific measurable parameters (user attributes and content characteristics) that can be efficiently computed and compared. The scoring mechanism uses these predefined parameters to quickly evaluate content relevance without requiring overly complex analysis, managing computational resources effectively.
Data Source
AI summary
A social networking system provides a user with a feed of content items associated with other users connected to the user via the social networking system. Additionally, the social networking system identifies additional content items for presentation to the user and generates an additional feed including the additional content items. The additional content items may be determined by identifying content items having various characteristics and scoring the content items based on the characteristics. Content items having at least a threshold score are identified as additional content items. Examples of characteristics of content items include users providing content items to the social networking system, locations associated with social networking system users, and interaction with content items by social networking system users. In some embodiments, the additional feed modifies presentation of the additional content items based on their associated scores.