Sungyoung Lee

A Case-Based Meta-Learning and Reasoning Framework for Classifiers Selection

2018

In machine learning area, a large number of classification algorithms are available that can be used for solving the problems of prediction and classification in different domains. These classifiers perform differently on different learning problems. …

Convolutional Matrix Factorization for Document Context-Aware Recommendation

2016

Sparseness of user-to-item rating data is one of the major factors that deteriorate the quality of recommender system. To handle the sparsity problem, several recommendation techniques have been proposed that additionally consider auxiliary information to …