{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T18:45:17Z","timestamp":1782758717531,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":85,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T00:00:00Z","timestamp":1782345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,25]]},"DOI":"10.1145\/3805689.3806483","type":"proceedings-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T17:52:08Z","timestamp":1782755528000},"page":"4773-4793","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Aligning Recommendations with User Popularity Preferences"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1436-6321","authenticated-orcid":false,"given":"Mona","family":"Schirmer","sequence":"first","affiliation":[{"name":"Informatics Institute, University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6768-8992","authenticated-orcid":false,"given":"Anton","family":"Thielmann","sequence":"additional","affiliation":[{"name":"Amazon Music, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4846-1917","authenticated-orcid":false,"given":"Pola","family":"Schw\u00f6bel","sequence":"additional","affiliation":[{"name":"Amazon Music, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5736-6108","authenticated-orcid":false,"given":"Thomas","family":"Martynec","sequence":"additional","affiliation":[{"name":"Amazon Music, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7568-4174","authenticated-orcid":false,"given":"Giuseppe","family":"Di Benedetto","sequence":"additional","affiliation":[{"name":"Amazon Music, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9515-5456","authenticated-orcid":false,"given":"Ben","family":"London","sequence":"additional","affiliation":[{"name":"Amazon Music, Seattle, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2062-7594","authenticated-orcid":false,"given":"Yannik","family":"Stein","sequence":"additional","affiliation":[{"name":"Amazon Music, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3691719"},{"key":"e_1_3_2_1_2_1","volume-title":"Multi-stakeholder recommendation and its connection to multi-sided fairness. arXiv preprint arXiv:1907.13158","author":"Abdollahpouri Himan","year":"2019","unstructured":"Himan Abdollahpouri and Robin Burke. 2019. Multi-stakeholder recommendation and its connection to multi-sided fairness. arXiv preprint arXiv:1907.13158 (2019)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109912"},{"key":"e_1_3_2_1_4_1","volume-title":"Managing popularity bias in recommender systems with personalized re-ranking. arXiv preprint arXiv:1901.07555","author":"Abdollahpouri Himan","year":"2019","unstructured":"Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. arXiv preprint arXiv:1901.07555 (2019)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3418487"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450613.3456821"},{"key":"e_1_3_2_1_7_1","volume-title":"Measurement validity: A shared standard for qualitative and quantitative research. American political science review 95, 3","author":"Adcock Robert","year":"2001","unstructured":"Robert Adcock and David Collier. 2001. Measurement validity: A shared standard for qualitative and quantitative research. American political science review 95, 3 (2001), 529\u2013546."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 41st International Conference on Machine Learning.","author":"Adila Dyah","year":"2024","unstructured":"Dyah Adila, Shuai Zhang, Boran Han, and Yuyang Wang. 2024. Discovering bias in latent space: an unsupervised debiasing approach. In Proceedings of the 41st International Conference on Machine Learning."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.15"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3759310"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Learning Representations","author":"Alain Guillaume","year":"2017","unstructured":"Guillaume Alain and Yoshua Bengio. 2017. Understanding intermediate layers using linear classifier probes. International Conference on Learning Representations (2017)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-4322"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.485"},{"key":"e_1_3_2_1_14_1","volume-title":"CEUR workshop proceedings","volume":"2947","author":"Boratto Ludovico","year":"2021","unstructured":"Ludovico Boratto, Gianni Fenu, Mirko Marras, et al. 2021. Combining mitigation treatments against biases in personalized rankings: use case on item popularity. In CEUR workshop proceedings, Vol. 2947. CEUR-WS."},{"key":"e_1_3_2_1_15_1","volume-title":"Metrics for Popularity Bias in Dynamic Recommender Systems. In 16th International Conference on Agents and Artificial Intelligence. 121\u2013134","author":"Braun Valentijn","year":"2024","unstructured":"Valentijn Braun, Debarati Bhaumik, and Diptish Dey. 2024. Metrics for Popularity Bias in Dynamic Recommender Systems. In 16th International Conference on Agents and Artificial Intelligence. 121\u2013134."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1567"},{"key":"e_1_3_2_1_17_1","first-page":"151","article-title":"Popularity Bias in Recommender Systems","volume":"16","author":"Carnovalini Filippo","year":"2025","unstructured":"Filippo Carnovalini, Antonio Rod\u00e0, and Geraint A Wiggins. 2025. Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail. Information 16, 2 (2025), 151.","journal-title":"The Search for Fairness in the Long Tail. Information"},{"key":"e_1_3_2_1_18_1","volume-title":"NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models","author":"Chouldechova Alexandra","year":"2024","unstructured":"Alexandra Chouldechova, Chad Atalla, Solon Barocas, A Feder Cooper, Emily Corvi, P Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Stefanie Reed, Emily Sheng, et al. 2024. A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts. NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models (2024)."},{"key":"e_1_3_2_1_19_1","volume-title":"How algorithmic popularity bias hinders or promotes quality. Scientific reports 8, 1","author":"Ciampaglia Giovanni Luca","year":"2018","unstructured":"Giovanni Luca Ciampaglia, Azadeh Nematzadeh, Filippo Menczer, and Alessandro Flammini. 2018. How algorithmic popularity bias hinders or promotes quality. Scientific reports 8, 1 (2018), 15951."},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Learning Representations","author":"Cunningham Hoagy","year":"2024","unstructured":"Hoagy Cunningham, Aidan Ewart, Logan Riggs, Robert Huben, and Lee Sharkey. 2024. Sparse autoencoders find highly interpretable features in language models. International Conference on Learning Representations (2024)."},{"key":"e_1_3_2_1_21_1","volume-title":"Temporal Stability, and Recency. CoRR abs\/2401.10545","author":"Deldjoo Yashar","year":"2024","unstructured":"Yashar Deldjoo. 2024. Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency. CoRR abs\/2401.10545 (2024)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-023-09364-z"},{"key":"e_1_3_2_1_23_1","volume-title":"Fairness in information access systems. Foundations and Trends\u00ae in Information Retrieval 16, 1-2","author":"Ekstrand Michael D","year":"2022","unstructured":"Michael D Ekstrand, Anubrata Das, Robin Burke, and Fernando Diaz. 2022. Fairness in information access systems. Foundations and Trends\u00ae in Information Retrieval 16, 1-2 (2022), 1\u2013177."},{"key":"e_1_3_2_1_24_1","volume-title":"Conference on Fairness, Accountability and Transparency. PMLR, 172\u2013186","author":"Ekstrand Michael D","year":"2018","unstructured":"Michael D Ekstrand, Mucun Tian, Ion Madrazo Azpiazu, Jennifer D Ekstrand, Oghenemaro Anuyah, David McNeill, and Maria Soledad Pera. 2018. All the cool kids, how do they fit in?: Popularity and demographic biases in recommender evaluation and effectiveness. In Conference on Fairness, Accountability and Transparency. PMLR, 172\u2013186."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102655"},{"key":"e_1_3_2_1_26_1","unstructured":"European Union. 2022. Digital Services Act (Regulation (EU) 2022\/2065). http:\/\/data.europa.eu\/eli\/reg\/2022\/2065\/oj"},{"key":"e_1_3_2_1_27_1","unstructured":"European Union. 2024. Artificial Intelligence Act (Regulation (EU) 2024\/1689). http:\/\/data.europa.eu\/eli\/reg\/2024\/1689\/oj"},{"key":"e_1_3_2_1_28_1","volume-title":"Measurement of inequality of incomes. The economic journal 31, 121","author":"Gini Corrado","year":"1921","unstructured":"Corrado Gini. 1921. Measurement of inequality of incomes. The economic journal 31, 121 (1921), 124\u2013125."},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning. PMLR, 1321\u20131330","author":"Guo Chuan","year":"2017","unstructured":"Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger. 2017. On calibration of modern neural networks. In Proceedings of the 34th International Conference on Machine Learning. PMLR, 1321\u20131330."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/3780338.3781237"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445901"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702520"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3603163.3609041"},{"key":"e_1_3_2_1_38_1","volume-title":"International Conference for Learning Representations","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma. 2015. Adam: A method for stochastic optimization. International Conference for Learning Representations (2015)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-024-09406-0"},{"key":"e_1_3_2_1_40_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning. PMLR, 2796\u20132804","author":"Kuleshov Volodymyr","year":"2018","unstructured":"Volodymyr Kuleshov, Nathan Fenner, and Stefano Ermon. 2018. Accurate uncertainties for deep learning using calibrated regression. In Proceedings of the 35th International Conference on Machine Learning. PMLR, 2796\u20132804."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3478843"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22155540"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1797"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 42nd International Conference on Machine Learning. PMLR, 35799\u201335819","author":"Li Zhuowei","unstructured":"Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, and Dimitris N. Metaxas. 2025. The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering. In Proceedings of the 42nd International Conference on Machine Learning. PMLR, 35799\u201335819."},{"key":"e_1_3_2_1_46_1","volume-title":"The Second Workshop on Generative Information Retrieval.","author":"Lichtenberg Jan Malte","unstructured":"Jan Malte Lichtenberg, Alexander Buchholz, and Pola Schw\u00f6bel. [n. d.]. Large Language Models as Recommender Systems: A Study of Popularity Bias. In The Second Workshop on Generative Information Retrieval."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412247"},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of the 41st International Conference on Machine Learning. PMLR.","author":"Liu Sheng","year":"2024","unstructured":"Sheng Liu, Haotian Ye, Lei Xing, and James Zou. 2024. In-context vectors: making in context learning more effective and controllable through latent space steering. In Proceedings of the 41st International Conference on Machine Learning. PMLR."},{"key":"e_1_3_2_1_49_1","volume-title":"Proceedings of the 42nd International Conference on Machine Learning. PMLR.","author":"Liu Yiting","year":"2025","unstructured":"Yiting Liu and Zhi-Hong Deng. 2025. Iterative Vectors: In-Context Gradient Steering without Backpropagation. In Proceedings of the 42nd International Conference on Machine Learning. PMLR."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2025.0160333"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3759311"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.110"},{"key":"e_1_3_2_1_53_1","volume-title":"Embedding Cultural Diversity in Prototype-based Recommender Systems. In European Conference on Information Retrieval. Springer, 17\u201331","author":"Moradi Armin","year":"2025","unstructured":"Armin Moradi, Nicola Neophytou, Florian Carichon, and Golnoosh Farnadi. 2025. Embedding Cultural Diversity in Prototype-based Recommender Systems. In European Conference on Information Retrieval. Springer, 17\u201331."},{"key":"e_1_3_2_1_54_1","volume-title":"Advancing cultural inclusivity: Optimizing embedding spaces for balanced music recommendations. arXiv preprint arXiv:2405.17607","author":"Moradi Armin","year":"2024","unstructured":"Armin Moradi, Nicola Neophytou, and Golnoosh Farnadi. 2024. Advancing cultural inclusivity: Optimizing embedding spaces for balanced music recommendations. arXiv preprint arXiv:2405.17607 (2024)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645421"},{"key":"e_1_3_2_1_56_1","volume-title":"Timothy Christopher Heath, Alice Wang, Hugues Bouchard, and Mounia Lalmas.","author":"Palumbo Enrico","year":"2025","unstructured":"Enrico Palumbo, Gustavo Penha, Andreas Damianou, Jos'e Luis Redondo Garc'ia, Timothy Christopher Heath, Alice Wang, Hugues Bouchard, and Mounia Lalmas. 2025. Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval. ArXiv abs\/2503.24193 (2025)."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539156"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.5555\/3692070.3693675"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3759300"},{"key":"e_1_3_2_1_60_1","volume-title":"Generative sequential recommendation with gptrec. Gen-IR @ SIGIR 2023 Workshop","author":"Petrov Aleksandr V","year":"2023","unstructured":"Aleksandr V Petrov and Craig Macdonald. 2023. Generative sequential recommendation with gptrec. Gen-IR @ SIGIR 2023 Workshop (2023)."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608783"},{"key":"e_1_3_2_1_62_1","volume-title":"Diversity by design in music recommender systems. Transactions of the International Society for Music Information Retrieval. 2021","author":"Porcaro Lorenzo","year":"2021","unstructured":"Lorenzo Porcaro, Carlos Castillo, and Emilia G\u00f3mez Guti\u00e9rrez. 2021. Diversity by design in music recommender systems. Transactions of the International Society for Music Information Retrieval. 2021; 4 (1). (2021)."},{"key":"e_1_3_2_1_63_1","volume-title":"Workshop for Large Recommender Systems (LargeRecSys), 18th ACM Conference on Recommender Systems","author":"Prakash Arushi","year":"2024","unstructured":"Arushi Prakash, Dimitrios Bermperidis, and Srivas Chennu. 2024. Evaluating performance and bias of negative sampling in large-scale sequential recommendation models. Workshop for Large Recommender Systems (LargeRecSys), 18th ACM Conference on Recommender Systems (2024)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1815"},{"key":"e_1_3_2_1_65_1","volume-title":"The algorithmic imaginary of cultural producers. Towards platform-optimized music? H-ERMES","author":"Raffa Massimiliano","year":"2021","unstructured":"Massimiliano Raffa and Riccardo Pronzato. 2021. The algorithmic imaginary of cultural producers. Towards platform-optimized music? H-ERMES (2021)."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0452"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM54844.2022.00054"},{"key":"e_1_3_2_1_68_1","volume-title":"The 39th Annual Conference on Neural Information Processing Systems","author":"Sharma Mohit","year":"2025","unstructured":"Mohit Sharma, Amit Jayant Deshpande, Chiranjib Bhattacharyya, and Rajiv Ratn Shah. 2025. On Optimal Steering to Achieve Exact Fairness. The 39th Annual Conference on Neural Information Processing Systems (2025)."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1080\/10584609.2020.1713267"},{"key":"e_1_3_2_1_70_1","volume-title":"Instagram face and the algorithm: how popularity-integrated recommender systems homogenize beauty standards and lower user well-being. Available at SSRN 4964322","author":"Smith Rosanna","year":"2024","unstructured":"Rosanna Smith, Pengyuan Wang, Carolina Salge, and Beeson Shin. 2024. Instagram face and the algorithm: how popularity-integrated recommender systems homogenize beauty standards and lower user well-being. Available at SSRN 4964322 (2024)."},{"key":"e_1_3_2_1_71_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning. PMLR, 5897\u20135906","author":"Song Hao","year":"2019","unstructured":"Hao Song, Tom Diethe, Meelis Kull, and Peter Flach. 2019. Distribution calibration for regression. In Proceedings of the 36th International Conference on Machine Learning. PMLR, 5897\u20135906."},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240372"},{"key":"e_1_3_2_1_73_1","volume-title":"International Conference on Learning Representations","author":"Stolfo Alessandro","year":"2025","unstructured":"Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, and Besmira Nushi. 2025. Improving instruction-following in language models through activation steering. International Conference on Learning Representations (2025)."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_76_1","volume-title":"Proceedings of the 42nd International Conference on Machine Learning. PMLR, 82232\u201382251","author":"Wallach Hanna","unstructured":"Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, and Abigail Z. Jacobs. 2025. Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge. In Proceedings of the 42nd International Conference on Machine Learning. PMLR, 82232\u201382251."},{"key":"e_1_3_2_1_77_1","volume-title":"Calibration in deep learning: A survey of the state-of-the-art. arXiv preprint arXiv:2308.01222","author":"Wang Cheng","year":"2023","unstructured":"Cheng Wang. 2023. Calibration in deep learning: A survey of the state-of-the-art. arXiv preprint arXiv:2308.01222 (2023)."},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412258"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531907"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103100"},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2014.2327053"},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/97\/18005"},{"key":"e_1_3_2_1_83_1","volume-title":"Proceedings of the 41st International Conference on Machine Learning. PMLR, 58484\u201358509","author":"Zhai Jiaqi","year":"2024","unstructured":"Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, et al. 2024. Actions speak louder than words: trillion-parameter sequential transducers for generative recommendations. In Proceedings of the 41st International Conference on Machine Learning. PMLR, 58484\u201358509."},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2010.79"},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664928"}],"event":{"name":"FAccT '26: The 2026 ACM Conference on Fairness, Accountability, and Transparency","location":"Montreal QC Canada","acronym":"FAccT '26","sponsor":["ACM\/SIG"]},"container-title":["Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3805689.3806483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T18:01:15Z","timestamp":1782756075000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805689.3806483"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,25]]},"references-count":85,"alternative-id":["10.1145\/3805689.3806483","10.1145\/3805689"],"URL":"https:\/\/doi.org\/10.1145\/3805689.3806483","relation":{},"subject":[],"published":{"date-parts":[[2026,6,25]]},"assertion":[{"value":"2026-06-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}