All Stories

  1. Capturing User Interests from Data Streams for Continual Sequential Recommendation

    Article • February 2026, ACM (Association for Computing Machinery)

    Gyuseok Lee, SeongKu Kang

  2. Continual Recommender Systems

    Article • November 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  3. Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark

    Article • August 2025, ACM (Association for Computing Machinery)

    SeongKu Kang, Suyeon Kim

  4. Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

    Article • July 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  5. Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems

    Article • July 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  6. Chain-of-Factors Paper-Reviewer Matching

    Article • April 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  7. Uncertainty Quantification and Decomposition for LLM-based Recommendation

    Article • April 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  8. Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems

    Article • ACM Transactions on Recommender Systems, March 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  9. Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation

    Article • March 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  10. Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts

    Article • March 2025, ACM (Association for Computing Machinery)

    SeongKu Kang

  11. Continual Collaborative Distillation for Recommender System

    Article • August 2024, ACM (Association for Computing Machinery)

    SeongKu Kang, Gyuseok Lee

  12. Multi-Domain Sequential Recommendation via Domain Space Learning

    Article • July 2024, ACM (Association for Computing Machinery)

    SeongKu Kang

  13. Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy

    Article • May 2024, ACM (Association for Computing Machinery)

    SeongKu Kang

  14. Top-Personalized-K Recommendation

    Article • May 2024, ACM (Association for Computing Machinery)

    SeongKu Kang

  15. Multi-view Feature Selection for Recommender System

    Article • October 2023, ACM (Association for Computing Machinery)

    SeongKu Kang, youngjune lee

  16. Distillation from Heterogeneous Models for Top-K Recommendation

    Article • April 2023, ACM (Association for Computing Machinery)

    SeongKu Kang

  17. Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering

    Article • April 2022, ACM (Association for Computing Machinery)

    SeongKu Kang

  18. TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters

    Article • April 2022, ACM (Association for Computing Machinery)

    SeongKu Kang

  19. Topology Distillation for Recommender System

    Article • August 2021, ACM (Association for Computing Machinery)

    SeongKu Kang

  20. Unsupervised Proxy Selection for Session-based Recommender Systems

    Article • July 2021, ACM (Association for Computing Machinery)

    SeongKu Kang

  21. Bootstrapping User and Item Representations for One-Class Collaborative Filtering

    Article • July 2021, ACM (Association for Computing Machinery)

    SeongKu Kang

  22. Bidirectional Distillation for Top-K Recommender System

    Article • April 2021, ACM (Association for Computing Machinery)

    SeongKu Kang

  23. Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation

    Article • April 2021, ACM (Association for Computing Machinery)

    SeongKu Kang

  24. New Knowledge Distillation Framework for Recommender System.

    Article • October 2020, ACM (Association for Computing Machinery)

    SeongKu Kang

  25. Deep Rating Elicitation for New Users in Collaborative Filtering

    Article • April 2020, ACM (Association for Computing Machinery)

    SeongKu Kang

  26. Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users

    Article • November 2019, ACM (Association for Computing Machinery)

    SeongKu Kang