[Paper Review] C2-CRS: Coarse-to-Fine Contrastive Learning for CRS
발표자: 석사과정 김중훈
1. 논문 제목: C2-CRS: Coarse-to-Fine Contrastive Learning for CRS (WSDM, 2022)
2. Overview: 본 논문은 CRS에 사용되는 context data들이 multi-grained semantic form의 특성을 가지고 있고, 이에 따라 coarse-grained contrastive learning과 fine-grained contrastive learning을 통해 서로 다른 semantic space를 fusion할 수 있다는 general한 방법론을 제안합니다.
3. Keyword: CRS, Semantic Fusion, Contrastive Learning
Видео [Paper Review] C2-CRS: Coarse-to-Fine Contrastive Learning for CRS канала 고려대학교 산업경영공학부 DSBA 연구실
1. 논문 제목: C2-CRS: Coarse-to-Fine Contrastive Learning for CRS (WSDM, 2022)
2. Overview: 본 논문은 CRS에 사용되는 context data들이 multi-grained semantic form의 특성을 가지고 있고, 이에 따라 coarse-grained contrastive learning과 fine-grained contrastive learning을 통해 서로 다른 semantic space를 fusion할 수 있다는 general한 방법론을 제안합니다.
3. Keyword: CRS, Semantic Fusion, Contrastive Learning
Видео [Paper Review] C2-CRS: Coarse-to-Fine Contrastive Learning for CRS канала 고려대학교 산업경영공학부 DSBA 연구실
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