User Profile Segmentation for Sub-Second Customized Experiences
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Solution Overview
Problem
Existing systems face challenges in classifying users into segments with sub-second latency, especially as the number of users increases, to provide customized experiences efficiently, particularly in scenarios like e-commerce applications where timely promotions are crucial to prevent business loss.
Innovation Solution
A method and system that utilize a key-value pair store to retrieve user events, apply segment definitions to classify users into segments with sub-second latency by using efficient data structures and real-time evaluation, enabling dynamic and personalized user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional user classification systems are used, then user segmentation can be achieved, but latency increases significantly as the number of users increases
Solution Approach 1:
The patent segments the user classification process into distinct phases: event collection, event evaluation against segment definitions, and experience delivery. This segmentation allows each phase to be optimized independently, with event evaluation occurring in real-time using pre-compiled segment definitions, thereby reducing overall classification latency while maintaining accuracy.
Solution Approach 2:
Segment definitions are pre-compiled and stored before user events arrive. The system pre-processes segmentation logic into executable formats, so when user events occur, the evaluation against segments can proceed immediately without computational overhead for parsing or interpreting segment criteria, thus reducing latency.
2Speed
If real-time user event evaluation is performed, then customized experiences can be provided timely, but system complexity increases
Solution Approach 1:
The patent introduces segment definitions as an intermediary layer between raw user events and customized experiences. These pre-compiled segment definitions act as a mediator that simplifies the evaluation process, allowing the system to quickly determine which experiences to deliver without complex real-time analysis, thus reducing system complexity while maintaining speed.
Solution Approach 2:
The system changes the state of segment definitions from raw data to pre-compiled executable criteria. By transforming segment definitions into an optimized format before evaluation, the system reduces computational complexity during real-time event processing while maintaining the ability to deliver customized experiences rapidly.
3Measurement precision
If user data is stored in detailed format, then accurate segmentation is possible, but storage costs and processing overhead increase
Solution Approach 1:
The patent extracts only the essential user events and characteristics needed for segmentation from complete user data. Instead of storing and processing all user information, the system identifies and evaluates only the relevant events against segment definitions, reducing storage requirements and processing overhead while maintaining segmentation accuracy.
Solution Approach 2:
The system performs partial evaluation by checking user events against only the necessary segment criteria rather than analyzing all possible user attributes. This selective approach reduces the quantity of data that needs to be stored and processed while still achieving accurate user segmentation for customized experience delivery.
Data Source
AI summary
A method for providing one or more customized experience to a user profile associated with an application is disclosed. The method comprises querying a key-value pair store for retrieving a key-value pair associated with the user profile. The retrieved key-value pair is loaded into a first memory. Further, one or more segment definitions for the one or more segments are received from a second memory. The one or more segment definitions are based on at least one of the user profile, user behaviour, user transaction on the application, user interaction with the application, and user subscription. Further, the one or more segment definitions and the one or more user events are evaluated in the first memory. The customized experience is provided to the user profile within sub-second latency and the customized experience is updated based on change in the one or more user events associated with the user profile.