Seongmin Park

Orcid: 0009-0004-8211-1691

Affiliations:
  • Sungkyunkwan University, Suwon, South Korea


According to our database1, Seongmin Park authored at least 9 papers between 2021 and 2025.

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

Timeline

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Links

Online presence:

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Bibliography

2025
Linear Item-Item Model with Neural Knowledge for Session-based Recommendation.
CoRR, April, 2025

Temporal Linear Item-Item Model for Sequential Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Why is Normalization Necessary for Linear Recommenders?
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Linear Item-Item Models with Neural Knowledge for Session-based Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2023
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Toward a Better Understanding of Loss Functions for Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Dual Unbiased Recommender Learning for Implicit Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021


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