Dynamic Life View Information Filtering System
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Solution Overview
Problem
Current information portals fail to provide a comprehensive and dynamic view of a user's life, lacking depth in depicting relationships between users, organizations, and information, and are inadequate in adapting to changes in a user's life state or query criteria.
Innovation Solution
A method and system that enable users to manage a 'life view' by filtering and structuring information based on demographic, ethnic, social, and psychological aspects, allowing users to customize and dynamically update information categories, layouts, and content prioritization through an information delivery system, with features for user feedback and partner ratings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional information portals use static user preferences and filters to display information, then the system complexity is low, but the adaptability to user life state changes is poor
Solution Approach 1:
The patent implements dynamic user profiles that automatically update based on user behavior, interactions, and life state changes. The system transitions from static preferences to dynamic, evolving user models that adapt in real-time, allowing the portal to respond to changing user needs without manual reconfiguration.
Solution Approach 2:
The system incorporates continuous feedback loops where user interactions, clicks, and behavior patterns are monitored and fed back into the profiling algorithm. This feedback mechanism enables the system to learn from user actions and automatically adjust information delivery to match evolving life states.
2Loss of information
If portals deliver comprehensive customized information to users, then the information relevance improves, but the loss of time for processing and delivering information increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and pre-organizing information based on predicted user needs and current life state profiles. Information is prepared and staged in advance, reducing the time required for real-time processing and delivery while maintaining high relevance.
Solution Approach 2:
The patent dynamically adjusts information delivery parameters such as update frequency, detail level, and content types based on user life state. The system modifies these parameters in real-time to optimize the balance between information completeness and processing speed, delivering appropriate levels of detail without unnecessary delays.
3Measurement precision
If portals rely on basic user preferences for information filtering, then the ease of operation is high, but the measurement precision of user needs is insufficient
Solution Approach 1:
The system implements self-service by automatically generating and updating user profiles without requiring manual configuration. The portal autonomously collects behavior data, analyzes patterns, and constructs detailed life state models, eliminating the need for users to spend time configuring preferences while achieving high measurement precision.
Solution Approach 2:
The patent replaces manual preference configuration (mechanical user action) with automated computational analysis. The system uses algorithms to infer user needs from behavioral data, substituting the manual mechanics of preference setting with automated information processing and pattern recognition.
Data Source
AI summary
A method for enabling a user to customize, prioritize, and view information filtered to align with the user's life state that includes interaction with an online market place. The user provides priority, positioning, and custom information about the user's life state which allows the user to view information in a life view. This information may include at least demographic information, logistical information, ethnic information, social information and psychological information. The partners may use the information about the user's life to filter its information according to the information about the user's life, which is then viewed in a life view by a user, according to the user defined positioning, prioritization, and other custom parameters. The method also enables the user to view partner and user participation in a marketplace to procure the information about the user's life, user ratings according to the user's behavior, and partner ratings according to the partner's information delivery.