LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation

Author:

Salganik Rebecca1ORCID,Liu Xiaohao2ORCID,Ma Yunshan2ORCID,Kang Jian1ORCID,Chua Tat-Seng2ORCID

Affiliation:

1. University of Rochester, Rochester, NY, USA

2. National University of Singapore, Singapore, Singapore

Publisher

ACM

Reference66 articles.

1. Pablo Alonso-Jiménez, Xavier Favory, Hadrien Foroughmand, Grigoris Bourdalas, Xavier Serra, Thomas Lidy, and Dmitry Bogdanov. 2023. Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity. In ICASSP. IEEE, 1--5.

2. Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario. In RecSys Challenge;Antenucci Sebastiano;ACM,2018

3. Oren Barkan Noam Koenigstein Eylon Yogev and Ori Katz. 2019. CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. In RecSys. ACM 228--236.

4. Geoffray Bonnin and Dietmar Jannach. 2014. Automated Generation of Music Playlists: Survey and Experiments. ACM Comput. Surv. 47, 2 (2014), 26:1--26:35.

5. Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, and Guillaume Salha-Galvan. 2022. Flow Moods: Recommending Music by Moods on Deezer. In RecSys. ACM, 452--455.

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