45 citations · 75 across the 8 of their papers we have counts for
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cs.IR2020★ 2 cited
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music
Seungheon Doh, Jongpil Lee, Tae Hong Park +1
Word embedding pioneered by Mikolov et al. is a staple technique for word representations in natural language processing (NLP) research which has also found popularity in music inf…
cs.IR2019★ 7 cited
Representation Learning of Music Using Artist, Album, and Track Information
Jongpil Lee, Jiyoung Park, Juhan Nam
Supervised music representation learning has been performed mainly using semantic labels such as music genres. However, annotating music with semantic labels requires time and cost…
cs.IR2018
Deep Content-User Embedding Model for Music Recommendation
Jongpil Lee, Kyungyun Lee, Jiyoung Park +2
Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach. However, the majority of previous studies p…