Personalized Technology Recommendation System Based on the Company's Technology Transfer

Companies need to secure new technologies and enhance their capabilities to address technological shortages, crucial for maintaining a competitive advantage in a rapidly evolving tech environment. Personalized technology recommendations for companies can be instrumental in effectively identifying their needs from an extensive pool of patents. Technology transfer emerges as a key strategy for companies to efficiently utilize costs and time in technology development. Understanding a company's technological preferences based on its technological information is essential for recommending suitable technologies for technology transfer. However, existing studies tend to focus solely on technology capability without considering the dynamically changing technological preferences of companies. Therefore, this study explores the utilization of technology transfer as a strategy to secure core technologies needed by companies. The research methodology involves constructing a portfolio of patents filed by companies to identify candidate companies for technology transactions and understanding their preferred core technologies. Considering technology development trends helps identify technology domains with high preferences. Finally, a patent recommendation strategy is proposed based on preference, utilizing Cooperative Patent Classification (CPC) code similarity. Through this, companies are expected to develop and implement practical strategies for securing effective technology.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.23919/picmet64035.2024.10653163
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Personalized Technology Recommendation System Based on the Company's Technology Transfer

Sungjoo Lee, Seokhyun Ryu
1 links
Technology Assessment and Management
article

Personalized Technology Recommendation System Based on the Company's Technology Transfer

Sungjoo Lee, Seokhyun Ryu
article en

Abstract

Companies need to secure new technologies and enhance their capabilities to address technological shortages, crucial for maintaining a competitive advantage in a rapidly evolving tech environment. Personalized technology recommendations for companies can be instrumental in effectively identifying their needs from an extensive pool of patents. Technology transfer emerges as a key strategy for companies to efficiently utilize costs and time in technology development. Understanding a company's technological preferences based on its technological information is essential for recommending suitable technologies for technology transfer. However, existing studies tend to focus solely on technology capability without considering the dynamically changing technological preferences of companies. Therefore, this study explores the utilization of technology transfer as a strategy to secure core technologies needed by companies. The research methodology involves constructing a portfolio of patents filed by companies to identify candidate companies for technology transactions and understanding their preferred core technologies. Considering technology development trends helps identify technology domains with high preferences. Finally, a patent recommendation strategy is proposed based on preference, utilizing Cooperative Patent Classification (CPC) code similarity. Through this, companies are expected to develop and implement practical strategies for securing effective technology.

Seoul National University (KR)
Openalex Percentile: Top 83%
Technology Assessment and Management
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Personalized Technology Recommendation System Based on the Company's Technology Transfer — Sungjoo Lee, Seokhyun Ryu · (2024) | TGRS Research Map | TGRS