62 citations · 75 across the 3 of their papers we have counts for
3 papers
cs.IR2018★ 62 cited
Reinforcement Learning based Recommender System using Biclustering Technique
Sungwoon Choi, Heonseok Ha, Uiwon Hwang +3
A recommender system aims to recommend items that a user is interested in among many items. The need for the recommender system has been expanded by the information explosion. Vari…
cs.LG2017★ 5 cited
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks
Jung-Woo Ha, Adrian Kim, Chanju Kim +2
Music highlights are valuable contents for music services. Most methods focused on low-level signal features. We propose a method for extracting highlights using high-level feature…
cs.IR2017★ 8 cited
Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning
Jaeyoon Yoo, Heonseok Ha, Jihun Yi +5
Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user. Towards this goal, energy-…