Seongku Kang

Orcid: 0000-0001-5528-1426

According to our database1, Seongku Kang authored at least 34 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation.
CoRR, 2024

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.
CoRR, 2024

Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts.
CoRR, 2024

Knowledge Distillation Approaches for Accurate and Efficient Recommender System.
CoRR, 2024

Graph Signal Processing for Cross-Domain Recommendation.
CoRR, 2024

Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks.
CoRR, 2024

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.
CoRR, 2024

Top-Personalized-K Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy.
Proceedings of the ACM on Web Conference 2024, 2024

Multi-Domain Sequential Recommendation via Domain Space Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Continual Collaborative Distillation for Recommender System.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Topology-Specific Experts for Molecular Property Prediction.
CoRR, 2023

Distillation from Heterogeneous Models for Top-K Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

MvFS: Multi-view Feature Selection for Recommender System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Topology-Specific Experts for Molecular Property Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Personalized Knowledge Distillation for Recommender System.
Knowl. Based Syst., 2022

Mitigating viewpoint sensitivity of self-supervised one-class classifiers.
Inf. Sci., 2022

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Obtaining Calibrated Probabilities with Personalized Ranking Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Item-side ranking regularized distillation for recommender system.
Inf. Sci., 2021

Bidirectional Distillation for Top-K Recommender System.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Bootstrapping User and Item Representations for One-Class Collaborative Filtering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unsupervised Proxy Selection for Session-based Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Topology Distillation for Recommender System.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Deep Rating Elicitation for New Users in Collaborative Filtering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-Modal Component Embedding for Fake News Detection.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

DE-RRD: A Knowledge Distillation Framework for Recommender System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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