Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Research on TF-IDF-based Patent Recommendation Algorithm using Technology Transfer Data

기술이전 데이터를 활용한 TF-IDF기반 특허추천 알고리즘 연구

  • Junki Kim (Department of Convergence Management of Technology, Jeonbuk National University) ;
  • Joonsoo Bae (Department of Convergence Management of Technology, Jeonbuk National University) ;
  • Yeongheon Song (Department of Convergence Management of Technology, Jeonbuk National University) ;
  • Byungho Jeong (Department of Convergence Management of Technology, Jeonbuk National University)
  • 김준기 (전북대학교 융합기술경영학과) ;
  • 배준수 (전북대학교 융합기술경영학과) ;
  • 송영헌 (전북대학교 융합기술경영학과) ;
  • 정병호 (전북대학교 융합기술경영학과)
  • Received : 2023.07.31
  • Accepted : 2023.08.21
  • Published : 2023.09.30
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Abstract

The increasing number of technology transfers from public research institutes in Korea has led to a growing demand for patent recommendation platforms for SMEs. This is because selecting the right technology for commercialization is a critical factor in business success. This study developed a patent recommendation system that uses technology transfer data from the past 10 years to recommend patents that are suitable for SMEs. The system was developed in three stages. First, an item-based collaborative filtering system was developed to recommend patents based on the similarities between the patents that SMEs have previously transferred. Next, a content-based recommendation system based on TF-IDF was developed to analyze patent names and recommend patents with high similarity. Finally, a hybrid system was developed that combines the strengths of both recommendation systems. The experimental results showed that the hybrid system was able to recommend patents that were both similar and relevant to the SMEs' interests. This suggests that the system can be a valuable tool for SMEs that are looking to acquire new technologies.

Keywords

Acknowledgement

This study sponosored by MOTIE funding proram "Advanced Graduate Education for Management of Convergence Technology".

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