Ontological Domain System for Dynamic User Preference Adaptation
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Solution Overview
Problem
Existing methods for data collection and processing fail to address individual preferences, interests, and needs by using pre-defined domains that do not adapt dynamically with changing user preferences or interests.
Innovation Solution
A method and system that create personalized ontological domains based on information elements accrued from various sources and detectable behaviors over time, allowing for the anticipation of interests and the identification of relevant solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-defined ontological domains are used for data organization, then information retrieval is facilitated and processing is simplified, but the system cannot address individual preferences, interests, or needs and does not dynamically adapt to changing user preferences
Solution Approach 1:
The system automatically creates and updates ontological domains by monitoring user behaviors, transactions, and interactions without requiring manual intervention from domain experts. The ontology evolves autonomously based on accrued information elements from multiple sources, making the system self-adapting to individual preferences while reducing the complexity of manual domain maintenance
Solution Approach 2:
The ontological domain transitions from a static, pre-defined structure to a dynamic, evolving framework that automatically adapts as new information elements are accrued from user behaviors, transactions, and interactions. The domain structure flexibly reconfigures itself to reflect changing individual preferences and interests over time
2Measurement precision
If manual ontology creation by domain experts is employed, then domain-specific knowledge is captured for drawing inferences, but the domains do not reflect personalized needs or dynamically change with individual preferences
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and accruing information elements from user behaviors, transactions, and interactions before explicit queries are made. This advance collection and organization of personalized data enables rapid, precise response to individual needs without requiring time-consuming manual ontology creation or updates
Solution Approach 2:
The system establishes continuous feedback loops where user behaviors, transactions, and interactions are monitored, analyzed, and used to automatically update the ontological domain. This feedback mechanism ensures the domain knowledge remains precise and current with individual preferences without requiring repeated manual intervention
3Productivity
If generalized information aggregation from multiple individuals is performed, then collaborative filtering provides summary opinions, but individual-specific preferences, interests, and needs are not addressed
Solution Approach 1:
The system applies local quality by creating customized ontological domains for each individual user based on their specific behaviors, transactions, and interactions, rather than applying a single generalized ontology to all users. This ensures individual-specific information is preserved and processed with appropriate granularity while maintaining efficient automated aggregation
Solution Approach 2:
The system segments the information aggregation process by separating individual user data streams and creating distinct ontological domains for each user. This segmentation prevents loss of individual-specific information while maintaining productivity through automated processing of each segmented data stream independently
Data Source
AI summary
A method, system, and computer program product for implementing ontological domain services is provided. The method includes creating an ontological domain using information elements accrued from sources and in response to detectable behaviors of an individual or entity over time. The method also includes analyzing the ontological domain to anticipate an interest.