18301954. SYSTEMS AND METHODS FOR ANALYZING DATA STREAMS simplified abstract (Capital One Services, LLC)
Contents
SYSTEMS AND METHODS FOR ANALYZING DATA STREAMS
Organization Name
Inventor(s)
Hari Hara Sudhan Gnanaprakasam of Glen Allen VA (US)
SYSTEMS AND METHODS FOR ANALYZING DATA STREAMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18301954 titled 'SYSTEMS AND METHODS FOR ANALYZING DATA STREAMS
The abstract of the patent application describes a system and method for analyzing data streams, specifically focusing on events associated with different users assigned to a token. The system processes the data stream to extract substreams for individual users, generates profiles for each user, and identifies clusters of profiles. Notifications are triggered based on the events in the substreams exceeding a certain threshold related to the cluster of profiles.
- Simplified Explanation:
The system in the patent application analyzes data streams to extract events associated with different users and triggers notifications based on certain thresholds related to user profiles.
- Key Features and Innovation:
- Data stream analysis for individual user events - Generation of user profiles - Identification of profile clusters - Triggering notifications based on event thresholds
- Potential Applications:
- Personalized user notifications - Targeted marketing strategies - User behavior analysis
- Problems Solved:
- Efficient data stream analysis - Targeted notifications for users - Cluster identification for user profiles
- Benefits:
- Improved user engagement - Enhanced user experience - Targeted communication strategies
- Commercial Applications:
"Data Stream Analysis System for Targeted Notifications and User Engagement"
- Prior Art:
Readers can explore prior art related to data stream analysis, user profiling, and targeted notifications in the field of data analytics and user engagement technologies.
- Frequently Updated Research:
Stay updated on research related to data stream analysis, user behavior modeling, and notification systems for enhanced user engagement.
Questions about the technology: 1. How does the system differentiate between events associated with different users in the data stream? 2. What are the potential implications of triggering notifications based on user profile clusters?
Original Abstract Submitted
Systems and methods for analyzing data streams. In some aspects, the system receives a data stream including events associated with a plurality of users assigned to a token. The system processes the data stream to extract a first substream including events associated with a first user and a second substream including events associated with a second user. The system generates a first profile for the first user and a second profile for the second user. The system processes the first profile to determine that the first profile is associated with a cluster of profiles. The system processes the first substream to determine that the first substream includes events associated with the cluster of profiles and is above a threshold related to the cluster of profiles to trigger a notification to a first user device associated with the first user.
