Pulse Engine for Real-Time User Activity Aggregation
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Solution Overview
Problem
Existing systems fail to effectively track and aggregate user entertainment and lifestyle activities across multiple platforms in real time, making it difficult for users to share their diverse activities with friends and for platforms to provide personalized content and recommendations.
Innovation Solution
A system that combines user activity data from various sources, including entertainment and lifestyle websites, using a 'pulse engine' to generate real-time profiles, process data, and create alerts, allowing for the monitoring and sharing of user entertainment activities, and integrating non-entertainment data for comprehensive user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user activity data is tracked across multiple platforms, then the comprehensiveness of user profiles is improved, but the system complexity increases
Solution Approach 1:
The patent introduces a central server as an intermediary that receives activity data from multiple platforms and sources, processes it, and generates unified user profiles. This mediator consolidates the complexity of integrating data from Facebook, Twitter, music streaming services, and other platforms into a single centralized processing point, thereby improving data completeness while managing system complexity.
Solution Approach 2:
The system employs a universal profile structure that can accommodate various types of user activities across different platforms. The profile framework is designed to be multi-functional, handling social media interactions, entertainment consumption, shopping activities, and other user behaviors within a single unified structure, thus improving information completeness without proportionally increasing complexity.
2Speed
If real-time processing of user activity data is implemented, then the timeliness of profile updates is improved, but the computational resources required increase
Solution Approach 1:
The system implements periodic processing of user activity data, where the server periodically aggregates and processes activity information from multiple platforms. This periodic action enables timely profile updates without requiring continuous high-intensity computational processing, thus achieving real-time responsiveness while managing resource consumption efficiently.
Solution Approach 2:
The system performs preliminary filtering and aggregation of user activity data before full profile generation. By pre-processing data to identify significant activities and aggregate redundant information, the system reduces the computational burden of real-time processing while maintaining the timeliness of profile updates.
3Measurement precision
If detailed user activity monitoring is implemented, then the precision of user insights is improved, but the privacy concerns increase
Solution Approach 1:
The system extracts and processes only the necessary activity data needed for profile generation, separating essential information from unnecessary personal details. By taking out only the relevant activity metrics (such as types of activities, frequencies, and categories) while excluding sensitive personal information, the system improves tracking precision while mitigating privacy concerns.
Solution Approach 2:
The patent applies different levels of data collection and processing to different types of user activities based on their sensitivity and relevance. Sensitive activities receive enhanced privacy protection while less sensitive activities are monitored more closely, creating a localized quality approach to privacy management that balances precision with privacy protection.
Data Source
AI summary
Systems and methods for tracking a user's lifestyle and activity profile. This profile can be automatically updated in real time. User activity on a site is tracked. User activity from third party feeds is also received. The user activity is then combined to generate the user's total profile. A pulse engine processes the feeds, updates the profiles, creates pulse alerts, routes updates to APIs or user interfaces, and/or the like.