Music Playlist Title Generation: A Machine-Translation Approach

2021-10-03 · NLP4MusA 2021 11 · Seungheon Doh, Junwon Lee, Juhan Nam

We propose a machine-translation approach to automatically generate a playlist title from a set of music tracks. We take a sequence of track IDs as input and a sequence of words in a playlist title as output, adapting the sequence-to-sequence framework based on Recurrent Neural Network (RNN) and Transformer to the music data. Considering the orderless nature of music tracks in a playlist, we propose two techniques that remove the order of the input sequence. One is data augmentation by shuffling and the other is deleting the positional encoding. We also reorganize the existing music playlist datasets to generate phrase-level playlist titles. The result shows that the Transformer models generally outperform the RNN model. Also, removing the order of input sequence improves the performance further.

📄 PDF Abstract BibTeX arXiv:2110.07354

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Data Augmentation Machine Translation Translation

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Attention 설명 없음

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Adam 설명 없음

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Music Playlist Title Generation Using Artist Information

2023-01-14 · Haven Kim, Seungheon Doh, Junwon Lee, Juhan Nam

Automatically generating or captioning music playlist titles given a set of tracks is of significant interest in music streaming services as customized playlists are widely used in personalized music recommendation, and …

Decoder Diversity Music Recommendation

Understanding Music Playlists

2015-11-22 · Choi Keunwoo, Fazekas George, Sandler Mark

As music streaming services dominate the music industry, the playlist is becoming an increasingly crucial element of music consumption. Con- sequently, the music recommendation problem is often casted as a playlist gener…

BIG-bench Machine Learning Music Recommendation Recommendation Systems

Collaborative Filtering

Music Playlist Title Generation: A Machine-Translation Approach

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