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.