Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing
Author:
Funder
Eskişehir Technical University
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Media Technology,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13735-021-00214-5.pdf
Reference51 articles.
1. Aizawa A (2003) An information-theoretic perspective of tf-idf measures. Inf Process Manage 39(1):45–65. https://doi.org/10.1016/S0306-4573(02)00021-3
2. Antenucci S, Boglio S, Chioso E, Dervishaj E, Kang S, Scarlatti T, Dacrema MF (2018) Artist-driven layering and user’s behaviour impact on recommendations in a playlist continuation scenario. In: Proceedings of the ACM Recommender Systems Challenge 2018, Vancouver, BC, Canada, pp 4:1–4:6
3. Berry MW, Dumais ST, O’Brien GW (1995) Using linear algebra for intelligent information retrieval. SIAM Rev 37(4):573–595
4. Bollen D, Knijnenburg BP, Willemsen MC, Graus M (2010) Understanding choice overload in recommender systems. In: Proceedings of the Fourth ACM Conference on Recommender Systems, Barcelona, Spain, p 63-70
5. Bonnin G, Jannach D (2014) Automated generation of music playlists: Survey and experiments. ACM Comput Surv 47(2):1–35. https://doi.org/10.1145/2652481
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