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자료 필터
자료유형
발행연도
2022 ~ 2027
2022 2027
키워드
언어
선택된 필터
- article
- conference
- book
전체 54건 중 1번부터 10번까지의 결과를 표시합니다.
2027
Article
ShockShot: Enhancing Mixed Reality Immersion Through Real-Time Multisensory Physical Feedback
- Choi, Bogyu ;
- Kim, Ungsik ;
- Yeon, Sumin ;
- Choi, Sang-Min ;
- Lee, Suwon
- 2027-08
- IFIP Advances in Information and Communication Technology
- Springer Science and Business Media Deutschland GmbH
Article
MR-Rec: Mutual-representation-enhanced model for sequential recommendation
- Kang, Wooseung ;
- Kim, Minje ;
- Lee, Suwon ;
- Kim, Gun-Woo ;
- Choi, Sang-Min
- 2027-01
- Expert Systems with Applications
- Elsevier
2026
Article
Why Do CF and Review Models Disagree? User-Specific Rating-Review Scale Gaps
- Jang, Min-Gyu ;
- Kang, Wooseung ;
- Kim, Minje ;
- Kim, Gun-Woo ;
- Choi, Sang-Min
- 2026-09
- RecSys2026 - Proceedings of the 20th ACM Conference on Recommender Systems
- Association for Computing Machinery, Inc
Article
Information-Aware Long Sequence Compression for Sequential Recommendation
- Kang, Wooseung ;
- Kim, Minje ;
- Lee, Suwon ;
- Kim, Gun-Woo ;
- Choi, Sang-Min
- 2026-09
- RecSys2026 - Proceedings of the 20th ACM Conference on Recommender Systems
- Association for Computing Machinery, Inc
Article
TRACE: Targeted Ranking-Aware Counterfactual Explanation for Sequential Recommendation
- Kim, Ungsik ;
- Choi, Sang-Min ;
- Kim, Gun-Woo ;
- Lee, Suwon
- 2026-09
- RecSys2026 - Proceedings of the 20th ACM Conference on Recommender Systems
- Association for Computing Machinery, Inc
Article
Cross-Spectrum Candidate Set Analysis for Popularity-Aware Recommendation
- Jeong, Hye-Jin ;
- Lee, Ye-Jin ;
- Kim, Gun-Woo ;
- Choi, Sang-Min
- 2026-09
- RecSys2026 - Proceedings of the 20th ACM Conference on Recommender Systems
- Association for Computing Machinery, Inc
Article
Revisiting the Assumptions of Shared-Account Sequential Recommendation
- Lee, Ye-Jin ;
- Jeong, Hyejin ;
- Kang, Wooseung ;
- Kim, Gun-Woo ;
- Choi, Sang-Min
- 2026-09
- RecSys2026 - Proceedings of the 20th ACM Conference on Recommender Systems
- Association for Computing Machinery, Inc