Song Chul Moon

According to our database, Song Chul Moon authored at least 5 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2019

Periodicity analysis using weighted sequential pattern in recommending service.

Young Sung Cho, Won Shik Na, Song Chul Moon

Clust. Comput., 2019

2015

Adaptive Clustering of Merchandise Code for Recommender System with an Immediate Effect.

Young Sung Cho, Song Chul Moon

Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015

Learning Listener's Preference for Music Recommender System.

Young Sung Cho, Song Chul Moon, Seon-Phil Jeong

Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015

2013

Weighted Mining Frequent Itemsets Using FP-Tree Based on RFM for Personalized u-Commerce Recommendation System.

Young-Sung Cho, Song Chul Moon

Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013

Weighted Mining Association Rules Based Quantity Item with RFM Score for Personalized u-Commerce Recommendation System.

Young-Sung Cho, Si Choon Noh, Song Chul Moon

Proceedings of the Grid and Pervasive Computing - 8th International Conference, 2013