Jung Ah Shin

According to our database, Jung Ah Shin authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A diversity personalization approach towards recommending POIs for Jeju island.

Jongsoo Lee, Jung Ah Shin, Dong-Kyu Chae

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Context-aware Traffic Flow Forecasting in New Roads.

Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation.

Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021

Will data on internet queries predict the performance in the marketplace: an empirical study on online searches and IPO stock returns.

Hyoung Goo Kang, Kyounghun Bae, Jung Ah Shin, Seongmin Jeon

Electron. Commer. Res., 2021

Learning from low precision samples.

Ji In Choi, Madeleine Georges, Jung Ah Shin, Olivia Wang, Tiffany Zhu, Tapan Shah

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2019

Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework.

Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim

IEEE Access, 2019