Min-Chul Yang

Researcher, AI/ML, NAVER

Joined

July 2019

Names

Min-Chul Yang (Preferred)

Emails

****@navercorp.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Researcher

AI/ML, NAVER (navercorp.com)

2015 – Present

PhD student

Computer Science, Korea University (korea.ac.kr)

2010 – 2015

Undergrad student

Computer Science, Korea University (korea.ac.kr)

2006 – 2010

Advisors, Relations & Conflicts

PhD Advisor

Hae-Chang Rim

2010 – 2015

Expertise

No areas of expertise listed

Publications

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park
- CoRR 2024
- Readers: Everyone
Task Relation-aware Continual User Representation Learning
Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park
- Published: 01 Jan 2023, Last Modified: 03 Aug 2023
- CoRR 2023
- Readers: Everyone
Task Relation-aware Continual User Representation Learning
Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park
- Published: 01 Jan 2023, Last Modified: 03 Oct 2023
- KDD 2023
- Readers: Everyone
Click-aware purchase prediction with push at the top
Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
- 2020 (modified: 29 Jul 2021)
- Inf. Sci. 2020
- Readers: Everyone
Target-aware convolutional neural network for target-level sentiment analysis
Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
- 2019 (modified: 29 Jul 2021)
- Inf. Sci. 2019
- Readers: Everyone
Review Sentiment-Guided Scalable Deep Recommender System
Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
- 2018 (modified: 12 Nov 2022)
- SIGIR 2018
- Readers: Everyone
Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship
Chanyoung Park, Dong Hyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
- 2017 (modified: 29 Jul 2021)
- CoRR 2017
- Readers: Everyone
Knowledge-based question answering using the semantic embedding space
Min-Chul Yang, Do-Gil Lee, So-Young Park, Hae-Chang Rim
- Expert Syst. Appl. 2015
- Readers: Everyone
Identifying interesting Twitter contents using topical analysis
Min-Chul Yang, Hae-Chang Rim
- Expert Syst. Appl. 2014
- Readers: Everyone

View all 15 publications