Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Yoon Sik Cho"'
Autor:
Won-Min Lee, Yoon-Sik Cho
Publikováno v:
IEEE Access, Vol 11, Pp 146194-146207 (2023)
One of the main challenges in recommendation system is the item cold-start problem, where absence of historical interactions or ratings in new items makes recommendation difficult. In order to solve the cold-start problem, hybrid neural network model
Externí odkaz:
https://doaj.org/article/c4f21d240fb9416ea32df1ad8d37e466
Publikováno v:
IEEE Access, Vol 11, Pp 143925-143935 (2023)
Fake news can be easily propagated through social media and cause negative societal effects. Since fake news is disinformation with malicious intent, manual fact-checking requires great effort. In order to cope with these challenges, many automatic f
Externí odkaz:
https://doaj.org/article/33712e867a414184995bc17913e59d0a
Autor:
Yujin Kang, Yoon-Sik Cho
Publikováno v:
IEEE Access, Vol 11, Pp 117633-117642 (2023)
Emotion recognition in conversation is the task of recognizing the emotion in each utterance of a conversation, and it is an active field of study with various applications. Many studies have been conducted in well-designed settings in which all of t
Externí odkaz:
https://doaj.org/article/500c108a264043029023429c07cc7f26
Publikováno v:
IEEE Access, Vol 10, Pp 98970-98980 (2022)
Extremely large volumes of documents are available from online news platforms and social media. While the quantity of these documents have grown exponentially, the majority lack their quality, which can cause digital fatigue or promote misinformation
Externí odkaz:
https://doaj.org/article/83c553d9be2d412ab562c30d578824b1
Autor:
Minh-Duc Nguyen, Yoon-Sik Cho
Publikováno v:
IEEE Access, Vol 8, Pp 3761-3771 (2020)
With the increase of rich datasets from various online platforms, predicting user behavior has been one of the most active research topics. The user behavior on these online platforms includes listening to music, watching videos, purchasing products,
Externí odkaz:
https://doaj.org/article/cd70d2ea7d9f4001a4563ea2601aafa0
Autor:
Minh-Duc Nguyen, Yoon-Sik Cho
Publikováno v:
IEEE Access, Vol 8, Pp 132736-132747 (2020)
Online behavior recommendation is an attractive research topic related to social media mining. This topic focuses on suggesting suitable behaviors for users in online platforms, including music listening, video watching, e-commerce, to name but a few
Externí odkaz:
https://doaj.org/article/9237fce2320a40babefa95e4d73be6d5
Autor:
Yoon-Sik Cho
Publikováno v:
IEEE Access, Vol 7, Pp 27465-27478 (2019)
A constrained latent space model (CLSM) infers community membership based on two modalities in multi-modal social network data: network topology and node attributes. In this paper, we extend our previous model, CLSM in two ways. First, we introduce t
Externí odkaz:
https://doaj.org/article/a5e8b1be5a5a4f38869af100ccc4c5ce
Autor:
Michael Dong, Linda Liu, Kenneth C. Bilchick, Nishaki K. Mehta, Yoon-Sik Cho, Ryan J. Koene, Selcuk Adabag, Adrian Baranchuk, Neal A. Chatterjee, T. Jared Bunch, Hirad Yarmohammadi, Younghoon Kwon
Publikováno v:
Sleep and Breathing. 27:561-568
Publikováno v:
2023 International Conference on Electronics, Information, and Communication (ICEIC).
Autor:
Dongin Jung, Yoon-Sik Cho
Publikováno v:
2023 International Conference on Electronics, Information, and Communication (ICEIC).