Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario

Author:

Antenucci Sebastiano1,Boglio Simone1,Chioso Emanuele1,Dervishaj Ervin1,Kang Shuwen1,Scarlatti Tommaso1,Dacrema Maurizio Ferrari1

Affiliation:

1. Politecnico di Milano

Publisher

ACM Press

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GAN-based matrix factorization for recommender systems;Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing;2022-04-25

2. Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment;RecSysChallenge '21: Proceedings of the Recommender Systems Challenge 2021;2021-10

3. Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing;International Journal of Multimedia Information Retrieval;2021-09

4. A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research;ACM Transactions on Information Systems;2021-04-30

5. Exploring playlist titles for cold-start music recommendation: an effectiveness analysis;Journal of Ambient Intelligence and Humanized Computing;2021-01-03

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