SeongKu Kang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 46

Top Topics

Collaborative Filtering

User Item Rating

Recommender Systems

Top Venues

Publications

Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
Multi-Domain Sequential Recommendation via Domain Space Learning. SIGIR (2024)
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW (2024)
Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
Top-Personalized-K Recommendation. WWW (2024)
Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. ACL (Findings) (2024)
SeongKu Kang
Knowledge Distillation Approaches for Accurate and Efficient Recommender System. CoRR (2024)
Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. CoRR (2024)
Soojin Yoon, SungHo Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee
Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts. CoRR (2024)
Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu
Continual Collaborative Distillation for Recommender System. KDD (2024)
Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. CoRR (2024)
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR (2024)
Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
Top-Personalized-K Recommendation. CoRR (2024)
Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR (2024)
Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. ACL (Findings) (2024)
Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CoRR (2024)
Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. CoRR (2024)
Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. AAAI (2024)
Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu
Continual Collaborative Distillation for Recommender System. CoRR (2024)
Jaehyun Lee, SeongKu Kang, Hwanjo Yu
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. CoRR (2024)
Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang
MvFS: Multi-view Feature Selection for Recommender System. CIKM (2023)
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR (2023)
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
Distillation from Heterogeneous Models for Top-K Recommendation. WWW (2023)
Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
Learning Topology-Specific Experts for Molecular Property Prediction. CoRR (2023)
Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang
MvFS: Multi-view Feature Selection for Recommender System. CoRR (2023)
Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
Learning Topology-Specific Experts for Molecular Property Prediction. AAAI (2023)
SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. CoRR (2022)
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI (2022)
SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu
Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. 239 (2022)
Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR (2022)
Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu
Mitigating viewpoint sensitivity of self-supervised one-class classifiers. Inf. Sci. 611 (2022)
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
Obtaining Calibrated Probabilities with Personalized Ranking Models. CoRR (2021)
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
Topology Distillation for Recommender System. CoRR (2021)
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
Bidirectional Distillation for Top-K Recommender System. WWW (2021)
Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. CoRR (2021)
Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR (2021)
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
Item-side ranking regularized distillation for recommender system. Inf. Sci. 580 (2021)
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
Bidirectional Distillation for Top-K Recommender System. CoRR (2021)
Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
Unsupervised Proxy Selection for Session-based Recommender Systems. CoRR (2021)
Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. CoRR (2021)
Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR (2021)
Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. WWW (2021)
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
Topology Distillation for Recommender System. KDD (2021)
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM (2020)
Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
Deep Rating Elicitation for New Users in Collaborative Filtering. WWW (2020)
SeongKu Kang, Junyoung Hwang, Hwanjo Yu
Multi-Modal Component Embedding for Fake News Detection. IMCOM (2020)
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
DE-RRD: A Knowledge Distillation Framework for Recommender System. CoRR (2020)
SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. CIKM (2019)