All Stories

  1. MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender

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

    SeongKu Kang

  2. FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation

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

    SeongKu Kang

  3. Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders

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

    SeongKu Kang

  4. SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation

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

    SeongKu Kang, Gyuseok Lee

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

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

    Gyuseok Lee, SeongKu Kang

  6. Continual Recommender Systems

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

    SeongKu Kang

  7. 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

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

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

    SeongKu Kang

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

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

    SeongKu Kang

  10. Chain-of-Factors Paper-Reviewer Matching

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

    SeongKu Kang

  11. Uncertainty Quantification and Decomposition for LLM-based Recommendation

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

    SeongKu Kang

  12. 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

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

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

    SeongKu Kang

  14. 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

  15. Continual Collaborative Distillation for Recommender System

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

    SeongKu Kang, Gyuseok Lee

  16. Multi-Domain Sequential Recommendation via Domain Space Learning

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

    SeongKu Kang

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

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

    SeongKu Kang

  18. Top-Personalized-K Recommendation

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

    SeongKu Kang

  19. Multi-view Feature Selection for Recommender System

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

    SeongKu Kang, youngjune lee

  20. Distillation from Heterogeneous Models for Top-K Recommendation

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

    SeongKu Kang

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

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

    SeongKu Kang

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

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

    SeongKu Kang

  23. Topology Distillation for Recommender System

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

    SeongKu Kang

  24. Unsupervised Proxy Selection for Session-based Recommender Systems

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

    SeongKu Kang

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

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

    SeongKu Kang

  26. Bidirectional Distillation for Top-K Recommender System

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

    SeongKu Kang

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

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

    SeongKu Kang

  28. New Knowledge Distillation Framework for Recommender System.

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

    SeongKu Kang

  29. Deep Rating Elicitation for New Users in Collaborative Filtering

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

    SeongKu Kang

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

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

    SeongKu Kang