About Me

Jin-Duk Park

My primary research interest lies in agent-based search and recommendation. I currently work as a Shopping ML Researcher at NAVER, where I contribute to a wide range of agent-driven commercial tasks — including knowledge graph construction, automated trend analysis, product recommendation, and ranking model development. Through these efforts, I am making practical contributions to opening new dimensions of commercial intelligence.

News

[Aug. 2025] I received my Ph.D. degree from Yonsei University.
[Aug. 2025] I joined the team NAVER as a Shopping ML Researcher.
[Aug. 2025] Our work on graph alignment is accepted to IEEE TNSE.
[2026] Our work on scalable collaborative filtering is accepted to IEEE TKDE.
[Jan 2025] Two papers on recommender systems are accepted in WWW 2025! One as the first author and the other as the corresponding author.
[Aug. 2024] I am selected as a PhD research scholarship student from Samsung Electronics.
[Apr. 2024] I gave an invited talk about LLMs and MoEs at NAVER Cloud (CLOVA).
[Mar. 2024] Two papers on recommender system are accepted in SIGIR 2024.
[Feb. 2024] I started a research internship at NAVER Cloud (CLOVA).
[Dec. 2023] I gave an invited talk at Graph User Group (GUG) 3rd seminar, Korea.
[Aug. 2023] I won the best paper awards in KICS, Korea.
[Aug. 2023] I presented our work at Recommendation with Graph Session in KDD'23 conference, Long Beach, CA.
[Aug. 2023] I gave an invited talk at Prof. Moon's group in California State University, Long Beach, CA.
[Jul. 2023] Our work on graph alignment is accepted to IEEE TPAMI.
[May. 2023] Our work on recommender system is accepted to KDD 2023.
[Feb. 2023] I gave an invited talk at the joint meeting with Monash Univ & UNSW, Austrailia, and CUHK, Hong Kong.
[Jan. 2023] I gave an invited talk at Prof. Xin's group in UNSW CSE dept, Austrailia.
[Jan. - Feb. 2023] I conducted a visiting research program with Prof. Xin Cao's team at UNSW, Australia.
[Dec. 2022] I gave a presentation at the Tokyo A3 workshop, Japan.
[Oct. 2022] I won the best ML paper in the 1st Yonsei AI Workshop.
[Oct. 2022] Our work on network alignment is accepted to AAAI 2022 and CIKM 2022.
[Aug. 2022] I had a chance to attend KDD 2022, Washington D.C.
[Jun. 2022] I received the KICs President's Outstanding Paper Awards.
[May. 2022] I received the Outstanding Poster Awards in CSE, Yonsei Univ.
[Mar. 2022] Our work on explainable AI (XAI) is accepted to PlosONE.
[Jan. 2022] Our work on smart-factory anomaly detection is accepted to IEEE Access.
[Aug. 2020] I got to collaborate with Prof. Moon's group, CSULB Long Beach, CA.

Position & Education

NAVER

2024 TBD NAVER 1784, Bundang-gu

Researcher (2025~)
Search and Recommendation in Shopping Domain

Yonsei University

2023.Jan~Mar Visiting Researcher Seoul, Seodaemun-gu

B.S : Mechanical Engineering (2012-2018)
PH. D : Computational Science and Engineering (2020 ~)
Principal Research Topics : Graph Learning, Graph Mining, Matching Problems (Recommender System, Graph Alignment)

Samsung Electronics

2024 TBD .

Research Scholar (2024-2025)
Language AI team in Samsung Electronics

NAVER Cloud (CLOVA)

2024 TBD NAVER 1784, Bundang-gu

Research Intern (2024)
Project LLM; VLM; Video-LM; Fine-tuning; Language Data Collection, Generation

LG Electronics

2018-2019 Researcher LG digital park, Pyeongtaek

Intern (2017)
Full-Time Researcher (2018-2019)
R&R : SW Researcher, PM

University of New South Wales (UNSW)

2023.Jan~Mar Visiting Researcher BK21 Overseas Study Program

Visiting Researcher
Research Topic: Recommender System (RS)
Advised by Prof. Xin Cao

California State University, Long Beach (CSULB)

2020-2021 Visiting Researcher (Remote) Ministry of Science and ICT, Republic of Korea

Visiting Researcher (Remote Work)
Research Topic: Explainable AI (XAI)
Advised by Prof. J. C. Moon

Contact: jindeok6@yonsei.ac.kr