Social Network Influence Score Calculation for Personalized Recommendations
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Solution Overview
Problem
Social networking platforms lack effective methods to recommend actions to users based on the social capital of other users, which is influenced by the actions performed by their contacts and propagated throughout the network.
Innovation Solution
A method to calculate an influence score for user actions, based on the performance of those actions by their contacts, and an action score that sums individual influence scores, allowing for recommendations of actions to users based on their social capital.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If social networking platforms track and analyze user actions and contact behaviors to calculate influence scores, then personalized action recommendations can be generated, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex task of recommendation into distinct components: action detection module, influence score calculation module, and recommendation generation module. Each module processes specific aspects independently, reducing overall system complexity while enabling personalized recommendations through coordinated operation of these segmented functions.
Solution Approach 2:
The patent introduces an intermediary influence score that mediates between raw user actions and final recommendations. This intermediary metric simplifies the complex relationship between user behaviors and recommendation outcomes, allowing the system to process social capital information efficiently without requiring direct complex analysis of all user interactions.
2Measurement precision
If the system calculates influence scores based on propagated actions throughout the network, then social capital can be quantified, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-processing and storing user actions and contact relationships in structured formats before influence score calculation is needed. Action detection and data organization occur in advance, allowing the influence score calculation to use pre-prepared information rather than processing raw data in real-time, thus reducing computational time while maintaining measurement precision.
Data Source
AI summary
In accordance with embodiments of the present disclosure, a method may include calculating an influence score relating to an action performed by a user of a social network, the influence score for the user being based on performance of the action by a contact of the user and occurring after performance of the action by the user and calculating an action score based on the influence score for the user.