Publications

굵게 표시된 저자는 DI Lab 소속이며, *는 교신저자를 의미합니다.

International

2026

Revisiting LLM-Enhanced Collaborative Filtering: A Text-Free Alternative with Heterogeneous Interaction Signals

Jaeeun Lim, Jae-woong Lee*

ACM International Conference on Information and Knowledge Management (CIKM), 2026

2025

Improving Product Search Relevance with EAR-MP: A Solution for the CIKM 2025 AnalytiCup

JaeEun Lim, Soomin Kim, Jaeyong Seo, Iori Ono, Qimu Ran, Jae-woong Lee*

CIKM 2025 AnalytiCup, 2025

Paper

2023

Toward a Better Understanding of Loss Functions for Collaborative Filtering

Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee*

ACM International Conference on Information and Knowledge Management (CIKM), 2023

Paper

uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering

Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee*

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023

Paper

2022

Knowledge Distillation Meets Recommendation: Collaborative Distillation for Top-N Recommendation

Jae-woong Lee, Minjin Choi, Lee Sael, Hyunjung Shim, Jongwuk Lee*

Knowledge and Information Systems (KAIS), 2022

Paper

Bilateral Self-unbiased Learning from Biased Implicit Feedback

Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee*

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

Paper

2021

Dual Unbiased Recommender Learning for Implicit Feedback

Jae-woong Lee, Seongmin Park, Jongwuk Lee*

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021

Paper

2020

Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision

Jae-woong Lee, Young-In Song, Deokmin Haam, Sanghoon Lee, Woo-sik Choi, Jongwuk Lee*

ACM International Conference on Information and Knowledge Management (CIKM), 2020

Paper

2019

Collaborative Distillation for Top-N Recommendation

Jae-woong Lee, Minjin Choi, Jongwuk Lee*, Hyunjung Shim

IEEE International Conference on Data Mining (ICDM), 2019

Paper

2017

IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering

Jae-woong Lee, Jongwuk Lee*

ACM International Conference on Information and Knowledge Management (CIKM), 2017

Paper
Domestic

2025

RAG 기반 투자자 추천 시스템 구현 및 검증

신예섭, 이재웅*

한국소프트웨어종합학술대회 (KSC), 2025

Acknowledgements: 지역지능화혁신인재양성사업(IITP-2025-RS-2023-00260267)

그룹 간 균일성을 고려한 효율적인 대조 표현 학습방법

장우호, 신예섭, 이재웅*

한국소프트웨어종합학술대회 (KSC), 2025 · 우수발표논문상

Acknowledgements: 지역지능화혁신인재양성사업(IITP-2025-RS-2023-00260267)

2024

추천 시스템의 대조 표현 학습에서의 효율적인 균일성 방법

이재웅*, 박지훈, 신예섭, 유재균, 이인하

한국정보과학회 한국컴퓨터종합학술대회, 2024

Acknowledgements: 데이터사이언스 융합인재 양성사업(RS-2023-00242528), 지역지능화혁신인재양성사업(IITP-2024-RS-2023-00260267)

2023

영·유아의 반복 시청 습관을 고려한 순차적 추천 시스템

김혜영, 이재웅, 홍서윤, 이종욱*

한국정보과학회 한국컴퓨터종합학술대회, 2023

Paper

2021

항목 인기도 편향 관점에서의 잡음제거 오토인코더의 효과

김진홍, 이재웅, 이종욱*

Journal of KIISE, 2021

Paper

2017

중첩 그룹과 이상치 탐지를 고려한 스펙트럴 군집 알고리즘

이재웅, 이종욱*

Korean DataBase Conference (KDBC), 2017 · 우수논문상

Paper

상위 N개 항목의 추천 정확도 향상을 위한 효과적인 선호도 표현방법

이재웅, 이종욱*

Journal of KIISE, 2017 · 초청논문

Paper

2016

상위 N개 항목의 추천 정확도 향상을 위한 효과적인 선호도 표현 방법

이재웅, 이종욱*

Korea Computer Congress (KCC), 2016 · 우수논문상

Paper