Contextual Circuit Curation for Personalized Network Interactions
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Solution Overview
Problem
Existing systems fail to provide personalized and contextually relevant information and actions to users over a network, lacking adaptive mechanisms to understand and respond to user needs and preferences.
Innovation Solution
A decision intelligence (DI)-based computerized framework that leverages AI and LLMs to determine and curate user-based and circuit-based contexts, enabling dynamic content generation and consumption, including user roles and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing systems provide generic information to users, then system simplicity is maintained, but user personalization and contextual relevance are insufficient
Solution Approach 1:
The system segments user information needs into distinct context types (user-based context and circuit-based context) that can be independently determined and combined. This allows personalized information delivery without requiring complete system redesign, as each context type is handled by specific determination mechanisms.
Solution Approach 2:
The patent introduces context determination mechanisms as intermediary components that bridge generic system capabilities and personalized user experiences. These mechanisms process user attributes and circuit information to generate contextualized results, enabling adaptation without direct complex user-system interactions.
2Measurement precision
If the system processes and analyzes user data to determine context, then information relevance is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary context determination by pre-processing user attributes and circuit information before actual information retrieval. This advance preparation reduces processing time during user interactions, as context frameworks are established beforehand rather than computed in real-time for each query.
Solution Approach 2:
The patent employs parameter changes by adjusting the depth and scope of context analysis based on user needs and system state. Not all context parameters are evaluated with equal intensity, allowing the system to maintain accuracy while optimizing processing resources by focusing on most relevant parameters.
3Adaptability or versatility
If the system provides comprehensive contextual information, then user experience is enhanced, but information overload and complexity for users increases
Solution Approach 1:
The system applies local quality by providing different levels and types of contextual information tailored to specific user needs and circuit contexts. Rather than uniformly delivering comprehensive information to all users, the system adjusts information depth and type based on local user attributes and circuit requirements, maintaining simplicity while enhancing relevance.
Solution Approach 2:
The patent implements dynamics by making information presentation adaptive and flexible based on determined contexts. The system dynamically adjusts what information is displayed and how it is organized, allowing comprehensive contextual information to be delivered in a manner that remains easy for users to consume and interact with.
Data Source
AI summary
Disclosed are systems and methods for a decision intelligence (DI)-based computerized framework that provides customized circuits that enable interactions for users with curated, network-hosted electronic resources, as they relate to a user(s). The disclosed framework provides mechanisms for circuit curation, dissemination, updating and/or sharing over a network based on deterministically compiled user-based and/or circuit-based contexts, which can enable consuming users to be provided with the most current, accurate digital information that is temporally, socially, logically and emotionally to the user's current intent when consuming content via their device(s). Thus, the framework deterministically computes a context, which can be a user-based and/or circuit-based context, that can be leveraged to provide and/or recommend information and/or actions to users over a network.