Learning Algorithms in AI System and Services


Young-Sik Jeong, Jong Hyuk Park, Journal of Information Processing Systems Vol. 15, No. 5, pp. 1029-1035, Oct. 2019  

10.3745/JIPS.02.0118
Keywords: Blockchain and Crypto Currency, Cloud Computing, Internet of Things, Sentiment Analysis
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Abstract

In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate moviebased recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.


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Cite this article
[APA Style]
Young-Sik Jeong and Jong Hyuk Park (2019). Learning Algorithms in AI System and Services. Journal of Information Processing Systems, 15(5), 1029-1035. DOI: 10.3745/JIPS.02.0118.

[IEEE Style]
Y. Jeong and J. H. Park, "Learning Algorithms in AI System and Services," Journal of Information Processing Systems, vol. 15, no. 5, pp. 1029-1035, 2019. DOI: 10.3745/JIPS.02.0118.

[ACM Style]
Young-Sik Jeong and Jong Hyuk Park. 2019. Learning Algorithms in AI System and Services. Journal of Information Processing Systems, 15, 5, (2019), 1029-1035. DOI: 10.3745/JIPS.02.0118.