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This paper presents our recent initiatives to foster the discoverability of new releases on the music streaming service Deezer.
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Schedl, M., Zamani, H., Chen, C.W., Deldjoo, Y., Elahi, M.: Current Challenges and Visions in Music Recommender Systems Research. International Journal of Multimedia Information Retrieval 7
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Jeunen, O., Goethals, B.: Top-K Contextual Bandits with Equity of Exposure. In: Proceedings of the 15th ACM Conference on Recommender Systems. pp. 310–320 (2021)
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Salha-Galvan, G., Hennequin, R., Chapus, B., Tran, V.A., Vazirgiannis, M.: Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. In: Proceedings of the 15th ACM Conference on Recommender Systems. pp. 443–452 (2021)
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Bontempelli, T., Chapus, B., Rigaud, F., Morlon, M., Lorant, M., Salha-Galvan, G.: Flow Moods: Recommending Music by Moods on Deezer. In: Proceedings of the 16th ACM Conference on Recommender Systems. pp. 452–455 (2022)
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Bendada, W., Bontempelli, T., Morlon, M., Chapus, B., Cador, T., Bouabça, T., Salha-Galvan, G.: Track Mix Generation on Music Streaming Services using Transformers. In: Proceedings of the 17th ACM Conference on Recommender Systems. pp. 112–115 (2023)
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Johnson, J., Douze, M., Jégou, H.: Billion-Scale Similarity Search with GPUs. IEEE Transactions on Big Data 7
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Lee, H., Im, J., Jang, S., Cho, H., Chung, S.: MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 1073–1082 (2019)
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Bendada, W., Salha, G., Bontempelli, T.: Carousel Personalization in Music Streaming Apps with Contextual Bandits. In: Proceedings of the 14th ACM Conference on Recommender Systems. pp. 420–425 (2020)
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Briand, L., Salha-Galvan, G., Bendada, W., Morlon, M., Tran, V.A.: A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. pp. 2601–2609 (2021)
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Ferraro, A., Serra, X., Bauer, C.: What is Fair? Exploring the Artists’ Perspective on the Fairness of Music Streaming Platforms. In: IFIP Conference on Human-Computer Interaction. pp. 562–584. Springer (2021)
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Deezer: https://www.deezer.com (2023)
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Elasticsearch: https://www.elastic.co/elasticsearch (2023)
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Kafka: https://kafka.apache.org/ (2023)
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Open Neural Network Exchange (ONNX): https://github.com/onnx/onnx (2023)
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