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Research On Digital Matching Methods Integrating User Intent And Patent Technology Characteristics.

Home
Research On Digital Matching Methods Integrating User Intent And Patent Technology Characteristics.

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Research on digital matching methods integrating user intent and patent technology characteristics.

Jianwei Yang¹, Yi Wang², Bonan Zang³

¹School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, No. 5 Jinhua South Road, Xi'an, China.

Scientific Reports

|May 27, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces an integrated method for mining user needs, mapping functions, and matching patent features to enhance product design efficiency and innovation. The approach effectively links requirements to technical solutions, as demonstrated by an earthquake experience platform design.

Keywords:

Digital characterization Feature extraction Intelligent design Patent technology Requirement intent

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Area of Science:

Engineering Design
Intellectual Property Management
Human-Computer Interaction

Background:

Patent documents offer valuable technical insights for product development but are challenging for designers to utilize due to complexity and varied descriptions.
Effective utilization of patent technical features is crucial for driving innovation and improving design efficiency.

Purpose of the Study:

To propose an integrated method for requirement mining, function mapping, and intelligent matching of patent technical features to bridge the gap between user needs and product innovation.
To enhance the efficiency and reduce subjectivity in identifying innovative design solutions by leveraging patent data.

Main Methods:

A G-HOQ method integrating Grey Relational Analysis (GRA) and House of Quality (HOQ) for user need mining and function mapping.

Natural Language Processing (NLP) with an N-V-N structure for extracting patent technical features, followed by BERT and Principal Component Analysis (PCA) for digital characterization.

Cosine similarity algorithm for matching functions to patent features and reorganizing solutions, validated by fuzzy comprehensive evaluation.

Main Results:

The proposed method successfully mapped user requirements to patent technical features, facilitating innovative design.
An earthquake experience platform design case study showed the method's effectiveness, with Scheme A achieving the highest satisfaction score (3.287).
The integrated approach demonstrated feasibility and improved efficiency in generating design solutions.

Conclusions:

The developed integrated method effectively links user needs, functions, and patent technical features, promoting design innovation.
The study validates the method's capability to reduce decision subjectivity and improve accuracy in identifying relevant patent information for product development.
The approach offers a systematic way to leverage patent data for technological innovation and efficient product design.