Young Sung Cho

发表

Personalized u-commerce recommending service using weighted sequential pattern with time-series and FRAT method

Kwang Sun Ryu, Keun Ho Ryu, Young Sung Cho, 2014, 2014 IEEE International Conference on Management of Innovation and Technology.

Periodicity analysis using weighted sequential pattern in recommending service

Won Shik Na, Young Sung Cho, Song Chul Moon, 2019, Cluster Computing.

Implementation of personalized recommendation system using k-means clustering of item category based on RFM

Keun Ho Ryu, Si Choon Noh, Young Sung Cho, 2012, 2012 IEEE International Conference on Management of Innovation & Technology (ICMIT).

A study of recommending service based on customer inclination using AHP

Kwang Sun Ryu, Keun Ho Ryu, Hyun Woo Park, 2016, 2016 IEEE International Conference on Management of Innovation and Technology (ICMIT).

Incremental Weighted Mining based on RFM Analysis for Recommending Prediction in u-Commerce

Keun Ho Ryu, Young Sung Cho, Song Chul Moon, 2013 .

Bayesian Learning through Weight of Listener’s Prefered Music Site for Music Recommender System

Young Sung Cho, Song Chul Moon, 2016 .

Efficient Purchase Pattern Clustering Based on SOM for Recommender System in u-Commerce

Keun Ho Ryu, Seon-Phil Jeong, Young Sung Cho, 2014 .

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

Young Sung Cho, SongChul Moon, 2015, CSA/CUTE.

Clustering Method Using Weighted Preference Based on RFM Score for Personalized Recommendation System in u-Commerce

Keun Ho Ryu, Seon-Phil Jeong, Young Sung Cho, 2014 .

Clustering Method Using Item Preference Based on RFM for Recommendation System in U-Commerce

Keun Ho Ryu, Seon-Phil Jeong, Young Sung Cho, 2013 .

Clustering Analysis by Customer Feature based on SOM for Predicting Purchase Pattern in Recommendation System

Keun Ho Ryu, Young Sung Cho, Song Chul Moon, 2014 .

Implementation of personalized recommendation system using demograpic data and RFM method in e-commerce

Keun Ho Ryu, Young Sung Cho, K. Ryu, 2008, 2008 4th IEEE International Conference on Management of Innovation and Technology.

Learning Listener's Preference for Music Recommender System

Seon-Phil Jeong, Young Sung Cho, Song Chul Moon, 2015, Big Data 2015.

Mining Association Rules Using RFM Scoring Method for Personalized u-Commerce Recommendation System in Emerging Data

Keun Ho Ryu, Young Sung Cho, Song Chul Moon, 2012 .

Frequent Pattern to Promote Sale for Selling Associated Items for Recommender in e-Commerce

Young Sung Cho, Song Chul Moon, Y. Cho, 2016 .

Weighted Mining Frequent Pattern based Customer ’ s RFM Score for Personalized u-Commerce Recommendation System

Young Sung Cho, Song Chul Moon, Y. Cho, 2014 .

Effective Purchase Pattern Mining with Weight Based on FRAT Analysis for Recommender in e-Commerce

Young Sung Cho, Song Chul Moon, Kyung Ah Kim, 2015 .

RFM based Incremental Frequent Patterns mining Method for Recommendation in e-Commerce

Young Sung Cho, Song Chul Moon, Keun Ho Ryu, 2014 .