Multi-Model Patent Valuation System with Dynamic Filtering
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Solution Overview
Problem
Current patent valuation models are inadequate as they often have too many or too few parameters, leading to vague or narrow views, and are not fully completed, and they fail to match different purposes such as defensive, offensive, or independent uses, indicating that no single model is ideal for all circumstances.
Innovation Solution
A method and system that utilize multiple patent valuation models, allowing users to select and modify models, and filter results, incorporating cognitive analysis and machine learning to provide advanced valuation and analysis through consolidation of models, and creation of new valuation models based on user preferences and industry insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single patent valuation model is used, then the valuation process is simple, but the valuation accuracy and applicability to different purposes deteriorate
Solution Approach 1:
The patent divides the valuation process into multiple independent models, each designed for specific valuation purposes (defensive, offensive, independent). Each model segment focuses on particular parameters relevant to its purpose, avoiding the need for a single comprehensive model that would be overly complex yet still achieve high accuracy for each specific application.
Solution Approach 2:
The system creates a universal valuation framework that can serve multiple functions through different models. Each valuation model is designed to be adaptable to different purposes while maintaining consistency in the overall system architecture, allowing the same platform to provide accurate valuations for licensing, litigation, portfolio management, and other applications.
2Device complexity
If a single patent valuation model is used, then the model structure is simple, but the adaptability to different purposes deteriorates
Solution Approach 1:
The patent segments the valuation system into multiple purpose-specific models (defensive valuation model, offensive valuation model, independent valuation model). Each model is structured to handle specific valuation scenarios, enabling the system to adapt to different purposes without requiring a single overly complex universal model.
Solution Approach 2:
The system dynamically selects and applies appropriate valuation models based on the specific purpose of the valuation. The model structure remains relatively simple individually, but the system's ability to switch between different models provides the necessary adaptability for various applications such as licensing negotiations, litigation support, and portfolio assessment.
3Measurement precision
If multiple patent valuation models are used, then the valuation accuracy and adaptability improve, but the system complexity increases
Solution Approach 1:
The patent organizes multiple valuation models into distinct segments, each with clearly defined parameters and purposes. This segmentation prevents the system from becoming a monolithic complex structure, as each model can be independently developed, validated, and maintained with focused parameters relevant to its specific valuation purpose.
Solution Approach 2:
The system introduces an intermediary layer that manages the multiple valuation models. This intermediary handles the complexity of selecting, coordinating, and integrating results from multiple models, thereby improving valuation precision across different purposes while shielding the user from the underlying system complexity through a unified interface.
4Device complexity
If a single patent valuation model is used, then the parameter list is manageable, but the comprehensiveness of valuation deteriorates
Solution Approach 1:
The patent divides the comprehensive set of valuation parameters across multiple models, with each model managing a focused subset of parameters relevant to its specific purpose. This segmentation makes parameter lists manageable within each model while collectively achieving comprehensive valuation coverage across all models, preventing information loss that would occur in a single-model approach.
Data Source
AI summary
Embodiments for valuing patents by one or more processors are described. A plurality of patents are analyzed with a first patent valuation model and at least a second patent valuation model. A selection of a filter of the results of said analysis of the plurality of patents with the first patent valuation model and the at least a second patent valuation model is detected. A list of some of the plurality of patents is generated based on said analysis of the plurality of patents with the first patent valuation model and the at least a second patent valuation model and the selected filter of the results of said analysis of the plurality of patents with the first patent valuation model and the at least a second patent valuation model.