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About me

Hongjun Lim

Machine Learning Research Engineer

My name is Hongjun Lim. I studied engineering in Korea at the Ajou university and got MS degree at KAIST. I`m currently a machine learning engineer at Naver Search, working in the AiRSearch (AI Recommendation and Search) team with a focus on building scalable recommender systems for real-world problems. My interests lie at the intersection of applied machine learning, information retrieval and natural language processing with a current emphasis on user modeling for personalized news recommendation.

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About

  • 2012 - 2016

    Digital Media, Ajou University

    Bachelor of Information Technology
    Advisor: Prof. Kyungwon Lee

  • June 2015 - July 2016

    Onezero Soft, Inc. Research Institute

    Software Engineer

  • 2016 - 2018

    Data Science Lab, KAIST

    M.S. in Graduate School of Culture Technology
    Advisor: Prof. Meeyoung Cha

  • March 2018 -

    AiRSearch, Naver Search

    Machine Learning Research Engineer

Paper & patent

Papers

AiRS: A Large-Scale Recommender System at NAVER News
Hongjun Lim†, Yeon-Chang Lee†, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeongjong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, and Sang-Wook Kim
In proc. of the IEEE International Conference on Data Engineering (ICDE), 2022
(†These authors contributed equally.)
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models
Sungmin Cho, Hongjun Lim, Keunchan Park, Sungjoo Yoo and Eunhyeok Park
arXiv preprint arXiv:2112.14370, 2021
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, and Kyomin Jung
In proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2019
Understanding Comments on Social News: Analyzing Comment-reading Behavior and Comparing Textual Similarity on Facebook News Posts
Hongjun Lim, Meeyoung Cha, and Donghee Yvette Wohn
KAIST, 2018
Detecting Multiclass Emotions from Labeled Movie Scripts
Jaewoo Kim, Yui Ha, Seungchae Kang, Hongjun Lim, and Meeyoung Cha
In proc. of the IEEE International Conference on Big Data and Smart Computing (BigComp), 2018
Changing News Media Landscape in South Korea
Hongjun Lim, Choongho Chung, Jihee Kim, Juho Kim, Sue Moon, and Meeyoung Cha
In proc. of the Fourth Workshop on Social News On the Web (SNOW) co-located with the World Wide Web (WWW) Conference, 2017
NetSet: A Systematic Integration of Visualization for Analyzing Set Intersections with Network
Heungseok Park, Hongjun Lim, Wonjae Lee, and Kyungwon Lee
In proc. of the IEEE Pacific Visualization Symposium (PacificVis), 2017
NetSet: Interactive Visualization for Analyzing Sets in Large Networks
Heungseok Park, Hongjun Lim, and Kyungwon Lee
In proc. of the Symposium on Visualization in Data Science (VDS) co-located with the IEEE VIS Conference, 2015

Patents

Method and System for Managing Total Financial Information
Myeongill Shin, Yonghyun Lee, and Hongjun Lim
Korea Patent No. 10-2016-0048820
Apparatus and Method for Interactive Visualization for Analyzing Sets in Large Networks
Hongjun Lim, Heungseok Park, and Kyungwon Lee
Korea Patent No. 10-2015-0148286