Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sehee Chung"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4039-4047
Modern recommendation systems are mostly based on implicit feedback data which can be quite noisy due to false positives (FPs) caused by many reasons, such as misclicks or quick curiosity. Numerous recommendation algorithms based on collaborative fil
The common research goal of self-supervised learning is to extract a general representation which an arbitrary downstream task would benefit from. In this work, we investigate music audio representation learned from different contrastive self-supervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21a24bfa5ebe263ddc8be20238965cc1
http://arxiv.org/abs/2207.04471
http://arxiv.org/abs/2207.04471
Publikováno v:
ICDM
Sequential recommendation techniques provide users with product recommendations fitting their current preferences by handling dynamic user preferences over time. Previous studies have focused on modeling sequential dynamics without much regard to whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e90ba9d267317743045a2854be578d
http://arxiv.org/abs/2105.10868
http://arxiv.org/abs/2105.10868
Publikováno v:
ACL/IJCNLP (1)
Recently, opinion summarization, which is the generation of a summary from multiple reviews, has been conducted in a self-supervised manner by considering a sampled review as a pseudo summary. However, non-text data such as image and metadata related
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0461e82dc22308ba639d25fc773daa9e
Autor:
Youn Sook Lee, Jin-Seok Park, Su Myung Jung, Ji-Hyung Lee, Seok Hee Park, Jae Young Lee, Jiyeon You, Sehee Chung, Dongyeob Seo
Publikováno v:
Febs Letters
NOD-like receptor family protein 3 (NLRP3)-mediated inflammasome activation promotes caspase-1-dependent production of interleukin-1β (IL-1β) and requires the adaptor protein ASC. Compared with the priming and activation mechanisms of the inflammas
Publikováno v:
KDD
This paper proposes a recommender system to alleviate the cold-start problem that can estimate user preferences based on only a small number of items. To identify a user's preference in the cold state, existing recommender systems, such as Netflix, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57b03e3611a0c10d94989e80a27d4420
http://arxiv.org/abs/1908.00413
http://arxiv.org/abs/1908.00413
Autor:
Anastasia N. Nikolskaya, Robert S. Ledley, Yongxing Chen, Jorge Castro-Alvear, Winona C. Barker, Sandeep Kumar, Leslie Arminski, Lai-Su L. Yeh, Sehee Chung, Zhang-Zhi Hu, Raja Mazumder, Darren A. Natale, Jian Zhang, Georgi Dinkov, Jorge Louie Cardenas, Hongzhan Huang, Panagiotis Kourtesis, Baris E. Suzek, Cathy H. Wu, C. R. Vinayaka
Publikováno v:
Scopus-Elsevier
The Protein Information Resource (PIR) is an integrated public resource of protein informatics. To facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors, PIR has extended its s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34dc4fb9f1d87b7c5961c2bbc1fc628
https://europepmc.org/articles/PMC308831/
https://europepmc.org/articles/PMC308831/