Sunbin Shin

Education

• Mar 2024 - Present: Chung-Ang University
  • M.S. Degree Knowledge Engineering, Computer Science & Engineering, Seoul, South Korea

• Mar 2020 - Feb. 2024: Sang-Myung University
  • Bachelor's degree, Computer Science & Engineering, Seoul, South Korea

Research Interests

• Generative AI
• BigData

Project

• Aug. 2018 - Aug. 2018
  • Hackathon in Ulsan - Scenery in Ulsan Taken with Drone

• Jan. 2023 - Nov. 2023: Sang-Myung University
  • LSTM Stock Predict Application - iOS, Colab, NodeJS

Journal Publications

Conditional Generative Adversarial Network-Based Travel Route Recommendation

Sunbin Shin, Luong Vuong Nguyen, Grzegorz J. Nalepa, Paulo Novais, Xuan Hau Pham, Jason J. Jung; ISSN=1546-2226; DOI:10.32604/cmc.2025.070613

https://doi.org/10.32604/cmc.2025.070613

"Recommending personalized travel routes from sparse, implicit feedback poses a significant challenge, as conventional systems often struggle with information overload and fail to capture the complex, sequential nature of user preferences. To address this, we propose a Conditional Generative Adversarial Network (CGAN) that generates diverse and highly relevant itineraries. Our approach begins by constructing a conditional vector that encapsulates a users unique generative capability, achieving scores ranging from 0.163 to 0.305, and near-zero scores between 0.002 and 0.022. These results confirm the model past itineraries. This work provides a robust solution for personalized travel planning, capable of generating novel and compelling routes for both new and existing users by learning from collective travel intelligence."