{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T21:57:44Z","timestamp":1766267864987,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"SFI NorwAI","award":["309834"],"award-info":[{"award-number":["309834"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,14]]},"DOI":"10.1145\/3604915.3608842","type":"proceedings-article","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T22:40:23Z","timestamp":1694731223000},"page":"871-876","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1906-0432","authenticated-orcid":false,"given":"Bj\u00f8rnar","family":"Vass\u00f8y","sequence":"first","affiliation":[{"name":"Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6324-6284","authenticated-orcid":false,"given":"Helge","family":"Langseth","sequence":"additional","affiliation":[{"name":"Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3206-5154","authenticated-orcid":false,"given":"Benjamin","family":"Kille","sequence":"additional","affiliation":[{"name":"Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway"}]}],"member":"320","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"volume-title":"Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, Valentina\u00a0E. Balas, G.\u00a0R","author":"Ahanger Abdul\u00a0Basit","key":"e_1_3_2_1_1_1","unstructured":"Abdul\u00a0Basit Ahanger, Syed\u00a0Wajid Aalam, Muzafar\u00a0Rasool Bhat, and Assif Assad. 2022. Popularity Bias in\u00a0Recommender Systems - A Review. In Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, Valentina\u00a0E. Balas, G.\u00a0R. Sinha, Basant Agarwal, Tarun\u00a0Kumar Sharma, Pankaj Dadheech, and Mehul Mahrishi (Eds.). Springer International Publishing, Cham, 431\u2013444."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477314.3507152"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research","author":"Bose Avishek","year":"2019","unstructured":"Avishek Bose and William Hamilton. 2019. Compositional Fairness Constraints for Graph Embeddings. In Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a097), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, Long Beach Convention Center, Long Beach, 715\u2013724. https:\/\/proceedings.mlr.press\/v97\/bose19a.html"},{"key":"e_1_3_2_1_4_1","volume-title":"Multisided Fairness for Recommendation. CoRR abs\/1707.00093","author":"Burke Robin","year":"2017","unstructured":"Robin Burke. 2017. Multisided Fairness for Recommendation. CoRR abs\/1707.00093 (2017), 5\u00a0pages. arXiv:1707.00093http:\/\/arxiv.org\/abs\/1707.00093"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","author":"Buyl Maarten","year":"2020","unstructured":"Maarten Buyl and Tijl\u00a0De Bie. 2020. DeBayes: a Bayesian Method for Debiasing Network Embeddings. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0119). PMLR, Virtual, 1220\u20131229. http:\/\/proceedings.mlr.press\/v119\/buyl20a.html"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research","author":"Creager Elliot","year":"2019","unstructured":"Elliot Creager, David Madras, Joern-Henrik Jacobsen, Marissa Weis, Kevin Swersky, Toniann Pitassi, and Richard Zemel. 2019. Flexibly Fair Representation Learning by Disentanglement. In Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a097), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, Long Beach Convention Center, Long Beach, 1436\u20131445. https:\/\/proceedings.mlr.press\/v97\/creager19a.html"},{"key":"e_1_3_2_1_7_1","volume-title":"A Fairness-aware Hybrid Recommender System. CoRR abs\/1809.09030","author":"Farnadi Golnoosh","year":"2018","unstructured":"Golnoosh Farnadi, Pigi Kouki, Spencer\u00a0K. Thompson, Sriram Srinivasan, and Lise Getoor. 2018. A Fairness-aware Hybrid Recommender System. CoRR abs\/1809.09030 (2018), 7\u00a0pages. arXiv:1809.09030http:\/\/arxiv.org\/abs\/1809.09030"},{"volume-title":"Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, and Beno\u00eet Fr\u00e9nay (Eds.)","author":"Frisch Gabriel","key":"e_1_3_2_1_8_1","unstructured":"Gabriel Frisch, Jean-Benoist Leger, and Yves Grandvalet. 2021. Co-clustering for Fair Recommendation. In Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, and Beno\u00eet Fr\u00e9nay (Eds.). Springer International Publishing, Cham, 607\u2013630."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"e_1_3_2_1_10_1","volume-title":"5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net","author":"Higgins Irina","year":"2017","unstructured":"Irina Higgins, Lo\u00efc Matthey, Arka Pal, Christopher\u00a0P. Burgess, Xavier Glorot, Matthew\u00a0M. Botvinick, Shakir Mohamed, and Alexander Lerchner. 2017. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net, Toulon, France, 22\u00a0pages. https:\/\/openreview.net\/forum?id=Sy2fzU9gl"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449904"},{"key":"e_1_3_2_1_12_1","volume-title":"Recommendation Independence. In Conference on Fairness, Accountability and Transparency, FAT 2018","author":"Kamishima Toshihiro","year":"2018","unstructured":"Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, and Jun Sakuma. 2018. Recommendation Independence. In Conference on Fairness, Accountability and Transparency, FAT 2018, 23-24 February 2018, New York, NY, USA(Proceedings of Machine Learning Research, Vol.\u00a081), Sorelle\u00a0A. Friedler and Christo Wilson (Eds.). PMLR, New York, USA, 187\u2013201. http:\/\/proceedings.mlr.press\/v81\/kamishima18a.html"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a080)","author":"Kim Hyunjik","year":"2018","unstructured":"Hyunjik Kim and Andriy Mnih. 2018. Disentangling by Factorising. In Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a080), Jennifer Dy and Andreas Krause (Eds.). PMLR, Stockholm, Sweden, 2649\u20132658. https:\/\/proceedings.mlr.press\/v80\/kim18b.html"},{"key":"e_1_3_2_1_14_1","volume-title":"Kingma and Max Welling","author":"P.","year":"2014","unstructured":"Diederik\u00a0P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). ICLR, Banff, AB, Canada, 14\u00a0pages. http:\/\/arxiv.org\/abs\/1312.6114"},{"key":"e_1_3_2_1_15_1","volume-title":"Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates","author":"Klambauer G\u00fcnter","year":"2017","unstructured":"G\u00fcnter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter. 2017. Self-Normalizing Neural Networks. In Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates, Inc., Montreal, Canada. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2017\/file\/5d44ee6f2c3f71b73125876103c8f6c4-Paper.pdf"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3495163"},{"key":"e_1_3_2_1_17_1","unstructured":"Yunqi Li Dingxian Wang Hanxiong Chen and Yongfeng Zhang. 2023. Transferable Fairness for Cold-Start Recommendation. arxiv:2301.10665\u00a0[cs.IR]"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109126"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102666"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.134"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5220\/0007361204760482"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16573"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450015"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICKG52313.2021.00058"},{"key":"e_1_3_2_1_27_1","volume-title":"Beyond Parity: Fairness Objectives for Collaborative Filtering. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Yao Sirui","year":"2017","unstructured":"Sirui Yao and Bert Huang. 2017. Beyond Parity: Fairness Objectives for Collaborative Filtering. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna\u00a0M. Wallach, Rob Fergus, S.\u00a0V.\u00a0N. Vishwanathan, and Roman Garnett (Eds.). NeurIPs, Long Beach, CA, USA, 2921\u20132930. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/e6384711491713d29bc63fc5eeb5ba4f-Abstract.html"}],"event":{"name":"RecSys '23: Seventeenth ACM Conference on Recommender Systems","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGecom Special Interest Group on Economics and Computation"],"location":"Singapore Singapore","acronym":"RecSys '23"},"container-title":["Proceedings of the 17th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608842","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604915.3608842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:34Z","timestamp":1750178794000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608842"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":27,"alternative-id":["10.1145\/3604915.3608842","10.1145\/3604915"],"URL":"https:\/\/doi.org\/10.1145\/3604915.3608842","relation":{},"subject":[],"published":{"date-parts":[[2023,9,14]]},"assertion":[{"value":"2023-09-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}