Dynamic Content Distribution Rate Control for Social Networks
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Solution Overview
Problem
Social networking services face resource-intensive challenges in providing content to users, particularly in efficiently managing network resources based on user-traffic patterns.
Innovation Solution
A method and system that determine user-traffic patterns in geographic regions and set distribution rates for personalized content based on these patterns to optimize resource usage, ensuring efficient content delivery without exceeding server and network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is provided to all users continuously, then user satisfaction and engagement are improved, but network resources and server capacity are overwhelmed
Solution Approach 1:
The system dynamically adjusts the content distribution rate based on real-time user-traffic patterns and network conditions. The distribution rate is not fixed but varies over time to match user activity levels and available network capacity, resolving the contradiction between maintaining high content distribution and managing network resource consumption.
Solution Approach 2:
The patent changes the parameter of distribution rate from a constant value to a variable parameter that adapts to user-traffic patterns. By monitoring traffic patterns and adjusting the distribution rate parameter accordingly, the system optimizes content delivery efficiency while preventing network overload.
2Speed
If distribution rate is increased during peak usage times, then content delivery speed is improved, but risk of exceeding data capacity increases
Solution Approach 1:
The system implements feedback control by continuously monitoring user-traffic patterns and adjusting the distribution rate in response to observed conditions. When traffic patterns indicate approaching capacity limits, the system automatically reduces the distribution rate to maintain reliable operation within data capacity constraints.
Solution Approach 2:
The patent determines user-traffic patterns in advance and sets distribution rates proactively based on predicted traffic conditions. This preliminary action allows the system to prepare appropriate distribution rates before peak usage times occur, preventing capacity violations while optimizing delivery speed.
3Adaptability or versatility
If personalized content is generated for all users, then user engagement is improved, but processing resources are consumed excessively
Solution Approach 1:
The system applies partial personalization by generating personalized content for a selected subset of users rather than all users. The selection is based on user-traffic patterns and distribution rate allocations, providing personalized content where it yields the most benefit while conserving processing resources.
Solution Approach 2:
The patent applies different levels of personalization quality to different user groups based on their traffic patterns and engagement characteristics. High-traffic or highly-engaged users receive fully personalized content, while other users receive standardized or partially personalized content, optimizing the balance between adaptability and resource consumption.
Data Source
AI summary
An exemplary method of providing content to users of a social networking service includes selecting a first set of users from a plurality of users on a social networking service in a geographic region to receive personalized content. The method further includes setting a first distribution rate for the personalized content during a first period of time based at least in part on a first user-traffic pattern. The method also includes providing the personalized content to client devices of the first set of users in accordance with the first distribution rate during the first period of time. The method further includes tracking posting of the personalized content to the social networking service by the first set of users, and reducing the first distribution rate if a ratio between a number of times the personalized content is posted and a number of times the personalized content is provided satisfies a threshold.