User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network
Jinah Kim, Nammee Moon, Journal of Information Processing Systems Vol. 18, No. 1, pp. 75-88, Feb. 2022
https://doi.org/10.3745/JIPS.04.0234
Keywords: Convolutional Neural Network (CNN), Deep Learning, Deep neural network (DNN), Matching Service, Recommender Service
Fulltext:
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Kim, J. & Moon, N. (2022). User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network. Journal of Information Processing Systems, 18(1), 75-88. DOI: 10.3745/JIPS.04.0234.
[IEEE Style]
J. Kim and N. Moon, "User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network," Journal of Information Processing Systems, vol. 18, no. 1, pp. 75-88, 2022. DOI: 10.3745/JIPS.04.0234.
[ACM Style]
Jinah Kim and Nammee Moon. 2022. User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network. Journal of Information Processing Systems, 18, 1, (2022), 75-88. DOI: 10.3745/JIPS.04.0234.