Content Relationship Inference From Cross-System User Interactions
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Solution Overview
Problem
The fragmentation of electronic content across various systems makes it difficult to monitor, extract knowledge from, and augment content with useful information, leading to inefficiencies in user interaction and access to relevant data.
Innovation Solution
A system and method that utilizes an analytics server to analyze user interactions with electronic content, establish relationships between nodes in a nodal data structure, and provide contextual data and actions through graphical elements or voice commands, enhancing user interaction and data access across fragmented systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electronic content is distributed across multiple different tools and systems, then content availability and accessibility are improved, but content monitoring and knowledge extraction become more difficult
Solution Approach 1:
The patent introduces a browser extension as an intermediary component that bridges multiple fragmented systems and tools. This extension captures user interactions across different applications and consolidates them into a unified nodal data structure, enabling centralized monitoring and knowledge extraction without restricting content accessibility across the fragmented ecosystem.
Solution Approach 2:
The nodal data structure serves as a universal framework that can represent and connect various types of electronic content and user interactions from different systems. This multi-functional structure allows the system to handle diverse content types (files, messages, webpages, etc.) and interaction types (clicks, selections, actions) within a single unified model, resolving the complexity of monitoring fragmented content.
2Loss of information
If user interactions are monitored across multiple systems, then knowledge extraction is improved, but data processing complexity increases
Solution Approach 1:
The patent segments user interactions into discrete, standardized interaction objects that can be independently processed and stored. Each interaction is broken down into specific components (content identifier, interaction type, timestamp, etc.) that can be efficiently managed in the nodal data structure, reducing the complexity of processing large volumes of interaction data across multiple systems.
Solution Approach 2:
The system transforms raw interaction data into standardized parameters and formats within the nodal data structure. By converting diverse interaction types from different systems into a common parameter set, the system simplifies data processing while preserving all necessary information for knowledge extraction, effectively changing the parameter representation to reduce complexity.
3Productivity
If contextual data is provided across fragmented systems, then user interaction efficiency is improved, but system integration complexity increases
Solution Approach 1:
The browser extension acts as an intermediary that captures contextual information from multiple fragmented systems and presents it through a unified interface. This mediator approach allows contextual data to be provided across systems without requiring direct integration between them, reducing integration complexity while improving user interaction efficiency.
Solution Approach 2:
The patent adds a new dimension of interaction by introducing a overlay interface that presents contextual data and actions in a separate layer above the existing fragmented systems. This dimensional approach allows the system to provide enhanced contextual information without modifying the underlying fragmented systems, thereby improving productivity without increasing integration complexity.
Data Source
AI summary
Disclosed herein are methods and systems to identify and infer relationship between data using user interactions. A method comprises monitoring interactions by a user associated with first electronic content and second electronic content presented on a computing device; revising a link between a pair of nodes within a set of nodes of a nodal data structure based the monitored interactions, the pair of nodes comprising a first node associated with the first electronic content and a second node associated with the second electronic content; in response to receiving a request for electronic content from the computing device: determining at least one node within the set of nodes of the nodal data structure that corresponds to the request; and providing data associated with the at least one node and additional data associated with any other node linked to the at least one node.