{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T15:51:49Z","timestamp":1776441109351,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","funder":[{"name":"FWF","award":["https:\/\/doi.org\/10.55776\/DFH23, https:\/\/doi.org\/10.55776\/COE12, https:\/\/doi.org\/10.55776\/P36413"],"award-info":[{"award-number":["https:\/\/doi.org\/10.55776\/DFH23, https:\/\/doi.org\/10.55776\/COE12, https:\/\/doi.org\/10.55776\/P36413"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3705328.3748020","type":"proceedings-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:48:44Z","timestamp":1757155724000},"page":"615-620","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1643-1166","authenticated-orcid":false,"given":"Alessandro B.","family":"Melchiorre","sequence":"first","affiliation":[{"name":"Johannes Kepler University, Linz, Austria and Criteo AI Lab, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6930-9482","authenticated-orcid":false,"given":"Elena V.","family":"Epure","sequence":"additional","affiliation":[{"name":"Deezer Research, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2747-0386","authenticated-orcid":false,"given":"Shahed","family":"Masoudian","sequence":"additional","affiliation":[{"name":"Johannes Kepler University, Linz, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4360-6921","authenticated-orcid":false,"given":"Gustavo","family":"Escobedo","sequence":"additional","affiliation":[{"name":"Joahnnes Kepler University, Linz, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5562-681X","authenticated-orcid":false,"given":"Anna","family":"Hausberger","sequence":"additional","affiliation":[{"name":"Johannes Kepler University, Linz, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0886-5423","authenticated-orcid":false,"given":"Manuel","family":"Moussallam","sequence":"additional","affiliation":[{"name":"Deezer, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1706-3406","authenticated-orcid":false,"given":"Markus","family":"Schedl","sequence":"additional","affiliation":[{"name":"Johannes Kepler University, Linz, Austria"}]}],"member":"320","published-online":{"date-parts":[[2025,9,7]]},"reference":[{"key":"e_1_3_3_3_2_2","unstructured":"Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad Ilge Akkaya Florencia\u00a0Leoni Aleman Diogo Almeida Janko Altenschmidt Sam Altman Shyamal Anadkat et\u00a0al. 2023. Gpt-4 technical report."},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.5555\/2999792.2999923"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591881"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591881"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240342"},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"crossref","unstructured":"Jin Chen Zheng Liu Xu Huang Chenwang Wu Qi Liu Gangwei Jiang Yuanhao Pu Yuxuan Lei Xiaolong Chen Xingmei Wang et\u00a0al. 2024. When large language models meet personalization: Perspectives of challenges and opportunities. World Wide Web 27 4 (2024) 42.","DOI":"10.1007\/s11280-024-01276-1"},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3648339"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-88720-8_27"},{"key":"e_1_3_3_3_11_2","first-page":"946","volume-title":"Proceedings of the 25th International Society for Music Information Retrieval Conference","author":"Doh SeungHeon","year":"2024","unstructured":"SeungHeon Doh, Keunwoo Choi, Daeyong Kwon, Taesu Kim, and Juhan Nam. 2024. Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models. In Proceedings of the 25th International Society for Music Information Retrieval Conference. 946\u2013953."},{"key":"e_1_3_3_3_12_2","unstructured":"Seungheon Doh Keunwoo Choi and Juhan Nam. 2025. TALKPLAY: Multimodal Music Recommendation with Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.13713 (2025)."},{"key":"e_1_3_3_3_13_2","first-page":"17","volume-title":"Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA)","author":"Epure Elena\u00a0V","year":"2024","unstructured":"Elena\u00a0V Epure, Gabriel Meseguer-Brocal, Darius Afchar, and Romain Hennequin. 2024. Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation. In Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA). 17\u201324."},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413552"},{"key":"e_1_3_3_3_15_2","volume-title":"Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020)","author":"Ferraro Andres","year":"2020","unstructured":"Andres Ferraro, Sergio Oramas, Massimo Quadrana, and Xavier Serra. 2020. Maximizing the engagement: exploring new signals of implicit feedback in music recommendations. In Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020). CEUR Workshop Proceedings."},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.784"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688138"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"crossref","unstructured":"Robert\u00a0A Jacobs Michael\u00a0I Jordan Steven\u00a0J Nowlan and Geoffrey\u00a0E Hinton. 1991. Adaptive mixtures of local experts. Neural computation 3 1 (1991) 79\u201387.","DOI":"10.1162\/neco.1991.3.1.79"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"crossref","unstructured":"Dietmar Jannach Ahtsham Manzoor Wanling Cai and Li Chen. 2021. A survey on conversational recommender systems. ACM Computing Surveys (CSUR) 54 5 (2021) 1\u201336.","DOI":"10.1145\/3453154"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"crossref","unstructured":"Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen Hao Zhang Yong Liu Chuhan Wu Xiangyang Li Chenxu Zhu et\u00a0al. 2025. How can recommender systems benefit from large language models: A survey. ACM Transactions on Information Systems 43 2 (2025) 1\u201347.","DOI":"10.1145\/3678004"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"crossref","unstructured":"Adam\u00a0J Lonsdale and Adrian\u00a0C North. 2011. Why do we listen to music? A uses and gratifications analysis. British Journal of Psychology 102 1 (2011) 108\u2013134.","DOI":"10.1348\/000712610X506831"},{"key":"e_1_3_3_3_23_2","unstructured":"Ilya Loshchilov and Frank Hutter. 2016. Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1608.03983 (2016)."},{"key":"e_1_3_3_3_24_2","volume-title":"Proc. ICLR","author":"Loshchilov Ilya","year":"2019","unstructured":"Ilya Loshchilov and Frank Hutter. 2019. Decoupled weight decay regularization. In Proc. ICLR."},{"key":"e_1_3_3_3_25_2","volume-title":"Ismir 2022 Hybrid Conference","author":"Manco Ilaria","year":"2022","unstructured":"Ilaria Manco, Emmanouil Benetos, Elio Quinton, and George Fazekas. 2022. Contrastive Audio-Language Learning for Music. In Ismir 2022 Hybrid Conference."},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3627508.3638299"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/2187980.2188222"},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447473"},{"key":"e_1_3_3_3_29_2","volume-title":"Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)","author":"Oramas Sergio","year":"2024","unstructured":"Sergio Oramas, Andres Ferraro, Alvaro Sarasua, and Fabien Gouyon. 2024. Talking to Your Recs: Multimodal Embeddings For Recommendation and Retrieval. In Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)."},{"key":"e_1_3_3_3_30_2","volume-title":"The 1st Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems (ROEGEN@RECSYS\u201924)","author":"Palumbo Enrico","year":"2024","unstructured":"Enrico Palumbo, Gustavo Penha, Andreas Damianou, Jos\u00e9 Luis\u00a0Redondo Garc\u00eda, Timothy\u00a0Christopher Heath, Alice Wang, Hugues Bouchard, and Mounia Lalmas. 2024. Text2Tracks: Generative Track Retrieval for Prompt-based Music Recommendation. In The 1st Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems (ROEGEN@RECSYS\u201924)."},{"key":"e_1_3_3_3_31_2","unstructured":"Steffen Rendle Christoph Freudenthaler Zeno Gantner and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1205.2618 (2012)."},{"key":"e_1_3_3_3_32_2","unstructured":"Noam Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc Le Geoffrey Hinton and Jeff Dean. 2017. Outrageously large neural networks: The sparsely-gated mixture-of-experts layer. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1701.06538 (2017)."},{"key":"e_1_3_3_3_33_2","volume-title":"The 1st Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems (ROEGEN@RECSYS\u201924)","author":"Tekle Noah","year":"2024","unstructured":"Noah Tekle, Alline Ayala, Jonathan Haile, Abdulla Alshabanah, Corey Baker, and Murali Annavaram. 2024. Music Recommendation through LLM Song Summary. In The 1st Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems (ROEGEN@RECSYS\u201924)."},{"key":"e_1_3_3_3_34_2","unstructured":"Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux Timoth\u00e9e Lacroix Baptiste Rozi\u00e8re Naman Goyal Eric Hambro Faisal Azhar et\u00a0al. 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2302.13971 (2023)."},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474230"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688139"},{"key":"e_1_3_3_3_37_2","series-title":"CEUR Workshop Proceedings","volume-title":"Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16, 2015","volume":"1441","author":"Turrin Roberto","year":"2015","unstructured":"Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, and Paolo Cremonesi. 2015. 30Music Listening and Playlists Dataset. In Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16, 2015(CEUR Workshop Proceedings, Vol.\u00a01441). CEUR-WS.org. https:\/\/ceur-ws.org\/Vol-1441\/recsys2015_poster13.pdf"},{"key":"e_1_3_3_3_38_2","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_3_3_39_2","unstructured":"Liang Wang Nan Yang Xiaolong Huang Linjun Yang Rangan Majumder and Furu Wei. 2024. Multilingual e5 text embeddings: A technical report. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.05672 (2024)."},{"key":"e_1_3_3_3_40_2","unstructured":"Benjamin Warner Antoine Chaffin Benjamin Clavi\u00e9 Orion Weller Oskar Hallstr\u00f6m Said Taghadouini Alexis Gallagher Raja Biswas Faisal Ladhak Tom Aarsen et\u00a0al. 2024. Smarter better faster longer: A modern bidirectional encoder for fast memory efficient and long context finetuning and inference. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.13663 (2024)."},{"key":"e_1_3_3_3_41_2","unstructured":"Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Mingchen Cai Wayne\u00a0Xin Zhao and Ji-Rong Wen. 2024. Prompting large language models for recommender systems: A comprehensive framework and empirical analysis. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.04997 (2024)."},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"crossref","unstructured":"Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei Yiqi Wang Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang et\u00a0al. 2024. Recommender systems in the era of large language models (llms). IEEE Transactions on Knowledge and Data Engineering (2024).","DOI":"10.1109\/TKDE.2024.3392335"}],"event":{"name":"RecSys '25: Nineteenth ACM Conference on Recommender Systems","location":"Prague Czech Republic","acronym":"RecSys '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGIR ACM Special Interest Group on Information Retrieval","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Nineteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3705328.3748020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:52:10Z","timestamp":1757159530000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3705328.3748020"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,7]]},"references-count":41,"alternative-id":["10.1145\/3705328.3748020","10.1145\/3705328"],"URL":"https:\/\/doi.org\/10.1145\/3705328.3748020","relation":{},"subject":[],"published":{"date-parts":[[2025,9,7]]},"assertion":[{"value":"2025-09-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}