{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T15:28:14Z","timestamp":1781018894210,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T00:00:00Z","timestamp":1774224000000},"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":[[2026,3,23]]},"DOI":"10.1145\/3748522.3779963","type":"proceedings-article","created":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:17:49Z","timestamp":1781014669000},"page":"1148-1155","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Personalized Sequence Generation in Food Recommender Systems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7550-1119","authenticated-orcid":false,"given":"Alexandre","family":"Combeau","sequence":"first","affiliation":[{"name":"Essonne, Universit\u00e9 Paris Saclay - AgroParisTech, Gif-sur-Yvette, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1450-5566","authenticated-orcid":false,"given":"Vincent","family":"Guigue","sequence":"additional","affiliation":[{"name":"AgroParisTech, Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4217-2591","authenticated-orcid":false,"given":"Cristina","family":"Manfredotti","sequence":"additional","affiliation":[{"name":"AgroParisTech & I.N.R.A., Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6995-2785","authenticated-orcid":false,"given":"Fatiha","family":"Sa\u00efs","sequence":"additional","affiliation":[{"name":"Paris Saclay University, CNRS, LISN, Paris Saclay University, GIF-SUR-YVETTE, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9825-3756","authenticated-orcid":false,"given":"St\u00e9phane","family":"Dervaux","sequence":"additional","affiliation":[{"name":"UMR MIA-Paris, AgroParisTech, INRA, Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7922-3877","authenticated-orcid":false,"given":"Paolo","family":"Viappiani","sequence":"additional","affiliation":[{"name":"CNRS and LAMSADE, Universit\u00e9 Paris-Dauphine, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,9]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Recommender systems handbook","author":"Adomavicius Gediminas","unstructured":"Gediminas Adomavicius and Alexander Tuzhilin. 2010. Context-aware recommender systems. In Recommender systems handbook. Springer, 217\u2013253."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the 2nd International Workshop on Health Recommender Systems.","volume":"1953","author":"Akkoyunlu Sema","year":"2017","unstructured":"Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornu\u00e9jols, Nicolas Darcel, and Fabien Delaere. 2017. Investigating substitutability of food items in consumption data. In Proceedings of the 2nd International Workshop on Health Recommender Systems. Vol. 1953. CEUR-WS.org, 27\u201331."},{"key":"e_1_3_2_1_3_1","unstructured":"ANSES. 2014. Donn\u00e9es de consommations et habitudes alimentaires de l'\u00e9tude inca 2 (2014). https:\/\/www.data.gouv.fr\/fr\/datasets\/donnees-de-consommations-et-habitudes-alimentaires-de-letude-inca-2-3\/."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the 2nd Workshop on Context-Aware Recommender Systems (CARS).","author":"Baltrunas Linas","year":"2011","unstructured":"Linas Baltrunas, Bernd Ludwig, Francesco Ricci, and Stephen Peer. 2011. Context-aware recommender systems: a review of the state of the art and future directions. In Proceedings of the 2nd Workshop on Context-Aware Recommender Systems (CARS)."},{"key":"e_1_3_2_1_5_1","volume-title":"Scheduled sampling for sequence prediction with recurrent neural networks. (Sept. 23","author":"Bengio Samy","year":"2015","unstructured":"Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. (Sept. 23, 2015)."},{"key":"e_1_3_2_1_6_1","volume-title":"Representation learning: a review and new perspectives","author":"Bengio Yoshua","year":"1828","unstructured":"Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013. Representation learning: a review and new perspectives. IEEE transactions on pattern analysis and machine intelligence, 35, 8, 1798\u20131828."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021240730564"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159668"},{"key":"e_1_3_2_1_9_1","volume-title":"PFIA","author":"Combeau Alexandre","year":"2025","unstructured":"Alexandre Combeau, Fatiha Sa\u00efs, Nageeta Kumari, St\u00e9phane Dervaux, Cristina Manfredotti, Vincent Guigue, and Paolo Viappiani. [n. d.] Nutrikg-un graphe de connaissances pour mod\u00e9liser les pr\u00e9f\u00e9rences et les besoins nutritionnels. PFIA 2025."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 4th International Workshop on Health Recommender Systems (HealthRecSys).","author":"Elsweiler David","year":"2015","unstructured":"David Elsweiler, Morgan Harvey, and Bernd Ludwig. 2015. Food recommender systems: important contributions, challenges and future research directions. In Proceedings of the 4th International Workshop on Health Recommender Systems (HealthRecSys)."},{"key":"e_1_3_2_1_11_1","article-title":"Dual-attention nutrition-aware food recommender system","author":"Forouzandeh Shima","year":"2024","unstructured":"Shima Forouzandeh, Mohammad Rostami, and Rahim Bairampour. 2024. Dual-attention nutrition-aware food recommender system. IEEE Transactions on Knowledge and Data Engineering.","journal-title":"IEEE Transactions on Knowledge and Data Engineering."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the Fourth ACM Conference on Recommender Systems, 11\u201318","author":"Freyne Jill","year":"2010","unstructured":"Jill Freyne and Shlomo Berkovsky. 2010. Recipe recommendation: accurate models of user preferences for the cold-start problem. In Proceedings of the Fourth ACM Conference on Recommender Systems, 11\u201318."},{"key":"e_1_3_2_1_13_1","first-page":"115859","article-title":"Sequential food recommendation with graph convolutional networks","volume":"187","author":"Gao Lili","year":"2022","unstructured":"Lili Gao, Kun Yu, and Hongzhi Yin. 2022. Sequential food recommendation with graph convolutional networks. Expert Systems with Applications, 187, 115859.","journal-title":"Expert Systems with Applications"},{"key":"e_1_3_2_1_14_1","first-page":"23","article-title":"Health-aware food recommendation using latent factor models","volume":"2","author":"Ge Mouzhi","year":"2015","unstructured":"Mouzhi Ge, Francesco Ricci, and David Massimo. 2015. Health-aware food recommendation using latent factor models. Frontiers in ICT, 2, 23.","journal-title":"Frontiers in ICT"},{"key":"e_1_3_2_1_15_1","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. (2017)."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 4th International Conference on Learning Representations (ICLR).","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks. In Proceedings of the 4th International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Chris Hokamp and Qun Liu. 2017. Lexically constrained decoding for sequence generation using grid beam search. arXiv preprint arXiv:1704.07138.","DOI":"10.18653\/v1\/P17-1141"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jand.2016.07.014"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2930238.2930283"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2800182"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_23_1","volume-title":"Advances in neural information processing systems.","author":"Lamb Alex M","unstructured":"Alex M Lamb, Goyal Anirudh, Ying Zhang, Saizheng Zhang, Aaron C Courville, and Yoshua Bengio. 2016. Professor forcing: a new algorithm for training recurrent networks. In Advances in neural information processing systems. Vol. 29."},{"key":"e_1_3_2_1_24_1","unstructured":"Daniel Lee and H Sebastian Seung. 2000. Algorithms for non-negative matrix factorization. Advances in neural information processing systems 13."},{"key":"e_1_3_2_1_25_1","first-page":"314","article-title":"Collaborative learning for recommender systems","volume":"1","author":"Lee Wee Sun","year":"2001","unstructured":"Wee Sun Lee. 2001. Collaborative learning for recommender systems. In ICML. Vol. 1, 314\u2013321.","journal-title":"ICML."},{"key":"e_1_3_2_1_26_1","first-page":"2","article-title":"Mealrec+: hierarchical and nutrition-aware meal recommendation","volume":"61","author":"Li Xiang","year":"2024","unstructured":"Xiang Li, Bowen Zhang, Peng Wang, and Shuo Li. 2024. Mealrec+: hierarchical and nutrition-aware meal recommendation. Information Processing & Management, 61, 2, 103561.","journal-title":"Information Processing & Management"},{"key":"e_1_3_2_1_27_1","first-page":"1","article-title":"Mealrec: a large-scale dataset for meal recommendation","volume":"2","author":"Li Xiang","year":"2022","unstructured":"Xiang Li, Bowen Zhang, Yang Zhang, Shuo Li, and Shuang Li. 2022. Mealrec: a large-scale dataset for meal recommendation. ACM Transactions on Recommender Systems (TORS), 2, 4, 1\u201324.","journal-title":"ACM Transactions on Recommender Systems (TORS)"},{"key":"e_1_3_2_1_28_1","article-title":"A reinforcement learning framework for long-term dietary recommendation","author":"Liu Jing","year":"2024","unstructured":"Jing Liu, Hongyu Zhao, Cheng Xu, and Liang Gao. 2024. A reinforcement learning framework for long-term dietary recommendation. IEEE Transactions on Neural Networks and Learning Systems.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/777092.777124"},{"key":"e_1_3_2_1_30_1","unstructured":"World Health Organization. 2003. World Health Organization. Diet nutrition and the prevention of chronic diseases: report of a joint who\/fao expert consultation. Tech. rep."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3190616"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_1_33_1","unstructured":"Steffen Rendle Christoph Freudenthaler Zeno Gantner and Lars Schmidt-Thieme. 2012. Bpr: bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_35_1","volume-title":"Kantor","author":"Ricci Francesco","year":"2011","unstructured":"Francesco Ricci, Lior Rokach, Bracha Shapira, and Paul B. Kantor. 2011. Recommender Systems Handbook. Springer."},{"key":"e_1_3_2_1_36_1","first-page":"117540","article-title":"A time-aware food recommender system using deep learning and graph clustering","volume":"204","author":"Rostami Mohammad","year":"2022","unstructured":"Mohammad Rostami, Shima Forouzandeh, and Rahim Bairampour. 2022. A time-aware food recommender system using deep learning and graph clustering. Expert Systems with Applications, 204, 117540.","journal-title":"Expert Systems with Applications"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/336992.337035"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_39_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2023. Attention is all you need. (2023)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.3945\/an.115.008441"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2595495"},{"key":"e_1_3_2_1_42_1","unstructured":"Mengyuan Zhang Jian Wang and Yu Li. 2024. Multimodal self-supervised learning for personalized food recommendation. ACM Transactions on Multimedia Computing Communications and Applications (TOMM)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Shuai Zhang Lina Yao Aixin Sun and Yi Tay. 2019. Deep learning based recommender system: a survey and new perspectives. ACM computing surveys (CSUR) 52 1 1\u201338.","DOI":"10.1145\/3285029"}],"event":{"name":"SAC '26: 41st ACM\/SIGAPP Symposium on Applied Computing","location":"Grand Hotel Palace Thessaloniki Greece","acronym":"SAC '26","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the 41st ACM\/SIGAPP Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3748522.3779963","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:34:30Z","timestamp":1781015670000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3748522.3779963"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,23]]},"references-count":43,"alternative-id":["10.1145\/3748522.3779963","10.1145\/3748522"],"URL":"https:\/\/doi.org\/10.1145\/3748522.3779963","relation":{},"subject":[],"published":{"date-parts":[[2026,3,23]]},"assertion":[{"value":"2026-06-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}