62 citations · 75 across the 3 of their papers we have counts for
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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.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-…