User Data Store Graph Architecture for Unified Analytics
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Solution Overview
Problem
The collection and organization of user attribute data from various web interactions into a unified and usable form is a complex task, as it involves disparate data sources and systems, making it difficult to facilitate user segmentation, machine learning, and data analytics.
Innovation Solution
A user data store system that centralizes and scales user, asset, and site usage data, building graphs of user relationships across different web sites, enabling passive monitoring and unified data access for both machines and humans, and supporting integration with third-party advertising platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If user attribute data is collected from multiple disparate web sources, then the quantity and variety of data increases, but the complexity of organizing and unifying the data increases
Solution Approach 1:
The patent merges data from multiple disparate web sources into a unified user data store. The system consolidates user attribute data, interaction data, and profile information from various websites and third-party sources into a single centralized repository, eliminating data silos and enabling unified access and analysis.
Solution Approach 2:
The user data store is designed as a universal system that handles multiple types of data (user profiles, interaction data, attribute data) from multiple sources (websites, third-party services, passive collection, active input). The system provides multi-functional capabilities including data collection, storage, organization, segmentation, and analytics across diverse data types.
2Ease of operation
If data is centralized in a unified data store, then data accessibility and analytics capability improve, but the system complexity and integration requirements increase
Solution Approach 1:
The patent introduces a intermediary layer (the user data store system) that mediates between multiple data sources and various data consumers. This intermediary handles data collection, normalization, storage, and retrieval operations, shielding users and applications from the underlying complexity of data integration while providing simplified access to unified data.
3Adaptability or versatility
If the data store supports multiple data sources and formats, then the versatility and applicability increase, but the difficulty of data management and processing increases
Solution Approach 1:
The user data store implements universal data handling capabilities that support multiple data sources (websites, third-party services), multiple data formats (structured, unstructured, semi-structured), and multiple collection methods (passive monitoring, active user input). This universal design enables the system to adapt to diverse data requirements without requiring separate management systems for each data type.
Data Source
AI summary
A computer system for generating a user data store and analyzing the user data store comprises a memory and a processing circuit. The memory is configured to store a user data store comprising a plurality of graphs, each graph having a user identity node. The processing circuit is configured to, for each of the plurality of graphs: receive asset data representing an asset that a user has interacted with on a website; generate a first node representing the asset data and a first link coupling the first node to the user identity node of the graph; store the first node and first link as part of the graph; receive usage data representing user interaction with a website; generate a second node representing the usage data and a second link coupling the second node to the user identity node of the graph, wherein at least one of the first node and second node further represents opinion data for a product or evaluation data for a product; and store the second node and second link as part of the graph.