{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T04:21:51Z","timestamp":1768623711774,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,8,6]]},"DOI":"10.1145\/3580305.3599822","type":"proceedings-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T18:13:58Z","timestamp":1691172838000},"page":"4705-4716","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Extreme Multi-Label Classification for Ad Targeting using Factorization Machines"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1495-2128","authenticated-orcid":false,"given":"Martin","family":"Pavlovski","sequence":"first","affiliation":[{"name":"Yahoo Research, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2559-7846","authenticated-orcid":false,"given":"Srinath","family":"Ravindran","sequence":"additional","affiliation":[{"name":"Yahoo Research, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4018-0213","authenticated-orcid":false,"given":"Djordje","family":"Gligorijevic","sequence":"additional","affiliation":[{"name":"eBay, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8275-0929","authenticated-orcid":false,"given":"Shubham","family":"Agrawal","sequence":"additional","affiliation":[{"name":"Yahoo Research, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5957-7395","authenticated-orcid":false,"given":"Ivan","family":"Stojkovic","sequence":"additional","affiliation":[{"name":"Yahoo Research, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6578-5870","authenticated-orcid":false,"given":"Nelson","family":"Segura-Nunez","sequence":"additional","affiliation":[{"name":"Yahoo Inc., San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3935-7106","authenticated-orcid":false,"given":"Jelena","family":"Gligorijevic","sequence":"additional","affiliation":[{"name":"Yahoo Research, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488391"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018741"},{"key":"e_1_3_2_2_3_1","volume-title":"Dagstuhl Reports","volume":"8","author":"Bengio Samy","year":"2019","unstructured":"Samy Bengio , Krzysztof Dembczynski , Thorsten Joachims , Marius Kloft , and Manik Varma . 2019 . Extreme classification (dagstuhl seminar 18291) . In Dagstuhl Reports , Vol. 8 . Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, and Manik Varma. 2019. Extreme classification (dagstuhl seminar 18291). In Dagstuhl Reports, Vol. 8. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik."},{"key":"e_1_3_2_2_4_1","unstructured":"K. Bhatia K. Dahiya H. Jain P. Kar A. Mittal Y. Prabhu and M. Varma. 2016. The extreme classification repository: Multi-label datasets and code. http:\/\/manikvarma.org\/downloads\/XC\/XMLRepository.html  K. Bhatia K. Dahiya H. Jain P. Kar A. Mittal Y. Prabhu and M. Varma. 2016. The extreme classification repository: Multi-label datasets and code. http:\/\/manikvarma.org\/downloads\/XC\/XMLRepository.html"},{"key":"e_1_3_2_2_5_1","volume-title":"Sparse local embeddings for extreme multi-label classification. Advances in neural information processing systems","author":"Bhatia Kush","year":"2015","unstructured":"Kush Bhatia , Himanshu Jain , Purushottam Kar , Manik Varma , and Prateek Jain . 2015. Sparse local embeddings for extreme multi-label classification. Advances in neural information processing systems , Vol. 28 ( 2015 ). Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, and Prateek Jain. 2015. Sparse local embeddings for extreme multi-label classification. Advances in neural information processing systems, Vol. 28 (2015)."},{"key":"e_1_3_2_2_6_1","volume-title":"Large-scale multi-label text classification on EU legislation. arXiv preprint arXiv:1906.02192","author":"Chalkidis Ilias","year":"2019","unstructured":"Ilias Chalkidis , Manos Fergadiotis , Prodromos Malakasiotis , and Ion Androutsopoulos . 2019. Large-scale multi-label text classification on EU legislation. arXiv preprint arXiv:1906.02192 ( 2019 ). Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, and Ion Androutsopoulos. 2019. Large-scale multi-label text classification on EU legislation. arXiv preprint arXiv:1906.02192 (2019)."},{"key":"e_1_3_2_2_7_1","volume-title":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2643--2651","author":"Chang Wei-Cheng","unstructured":"Wei-Cheng Chang , Daniel Jiang , Hsiang-Fu Yu , Choon Hui Teo , Jiong Zhang , Kai Zhong , Kedarnath Kolluri , Qie Hu , Nikhil Shandilya , Vyacheslav Ievgrafov , Japinder Singh , and Inderjit S. Dhillon . 2021. Extreme Multi-Label Learning for Semantic Matching in Product Search . In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2643--2651 . Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, and Inderjit S. Dhillon. 2021. Extreme Multi-Label Learning for Semantic Matching in Product Search. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2643--2651."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403368"},{"key":"e_1_3_2_2_9_1","article-title":"Training and testing low-degree polynomial data mappings via linear SVM","volume":"11","author":"Chang Yin-Wen","year":"2010","unstructured":"Yin-Wen Chang , Cho-Jui Hsieh , Kai-Wei Chang , Michael Ringgaard , and Chih-Jen Lin . 2010 . Training and testing low-degree polynomial data mappings via linear SVM . Journal of Machine Learning Research , Vol. 11 , 4 (2010). Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, and Chih-Jen Lin. 2010. Training and testing low-degree polynomial data mappings via linear SVM. Journal of Machine Learning Research, Vol. 11, 4 (2010).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013304"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5285-8"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441727"},{"key":"e_1_3_2_2_13_1","unstructured":"Google. 2023. Google Ad Targeting. https:\/\/support.google.com\/google-ads\/answer\/1704368  Google. 2023. Google Ad Targeting. https:\/\/support.google.com\/google-ads\/answer\/1704368"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3172077.3172127"},{"key":"e_1_3_2_2_15_1","volume-title":"A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine learning","author":"Hand David J","year":"2001","unstructured":"David J Hand and Robert J Till . 2001. A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine learning , Vol. 45 , 2 ( 2001 ), 171--186. David J Hand and Robert J Till. 2001. A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine learning, Vol. 45, 2 (2001), 171--186."},{"key":"e_1_3_2_2_16_1","volume-title":"The elements of statistical learning: data mining, inference, and prediction","author":"Hastie Trevor","unstructured":"Trevor Hastie , Robert Tibshirani , and Jerome H Friedman . 2009. The elements of statistical learning: data mining, inference, and prediction . Vol. 2 . Springer . Trevor Hastie, Robert Tibshirani, and Jerome H Friedman. 2009. The elements of statistical learning: data mining, inference, and prediction. Vol. 2. Springer."},{"key":"e_1_3_2_2_17_1","volume-title":"A comparison of methods for multiclass support vector machines","author":"Hsu Chih-Wei","year":"2002","unstructured":"Chih-Wei Hsu and Chih-Jen Lin . 2002. A comparison of methods for multiclass support vector machines . IEEE transactions on Neural Networks , Vol. 13 , 2 ( 2002 ), 415--425. Chih-Wei Hsu and Chih-Jen Lin. 2002. A comparison of methods for multiclass support vector machines. IEEE transactions on Neural Networks, Vol. 13, 2 (2002), 415--425."},{"key":"e_1_3_2_2_18_1","volume-title":"https:\/\/iabtechlab.com\/standards\/audience-taxonomy\/ Retrieved","author":"Taxonomy IAB.","year":"2023","unstructured":"IAB. 2020. IAB Taxonomy . https:\/\/iabtechlab.com\/standards\/audience-taxonomy\/ Retrieved February 1, 2023 from IAB. 2020. IAB Taxonomy. https:\/\/iabtechlab.com\/standards\/audience-taxonomy\/ Retrieved February 1, 2023 from"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939756"},{"key":"e_1_3_2_2_20_1","volume-title":"International conference on machine learning. PMLR, 1435--1444","author":"Jasinska Kalina","year":"2016","unstructured":"Kalina Jasinska , Krzysztof Dembczynski , R\u00f3bert Busa-Fekete , Karlson Pfannschmidt , Timo Klerx , and Eyke Hullermeier . 2016 . Extreme f-measure maximization using sparse probability estimates . In International conference on machine learning. PMLR, 1435--1444 . Kalina Jasinska, Krzysztof Dembczynski, R\u00f3bert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, and Eyke Hullermeier. 2016. Extreme f-measure maximization using sparse probability estimates. In International conference on machine learning. PMLR, 1435--1444."},{"key":"e_1_3_2_2_21_1","volume-title":"International Conference on Machine Learning. PMLR, 1665--1674","author":"Jernite Yacine","year":"2017","unstructured":"Yacine Jernite , Anna Choromanska , and David Sontag . 2017 . Simultaneous learning of trees and representations for extreme classification and density estimation . In International Conference on Machine Learning. PMLR, 1665--1674 . Yacine Jernite, Anna Choromanska, and David Sontag. 2017. Simultaneous learning of trees and representations for extreme classification and density estimation. In International Conference on Machine Learning. PMLR, 1665--1674."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054185"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959134"},{"key":"e_1_3_2_2_24_1","volume-title":"Scalable multilabel prediction via randomized methods. arXiv preprint arXiv:1502.02710","author":"Karampatziakis Nikos","year":"2015","unstructured":"Nikos Karampatziakis and Paul Mineiro . 2015. Scalable multilabel prediction via randomized methods. arXiv preprint arXiv:1502.02710 ( 2015 ). Nikos Karampatziakis and Paul Mineiro. 2015. Scalable multilabel prediction via randomized methods. arXiv preprint arXiv:1502.02710 (2015)."},{"key":"e_1_3_2_2_25_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220023"},{"key":"e_1_3_2_2_27_1","volume-title":"A note on Platt's probabilistic outputs for support vector machines. Machine learning","author":"Lin Hsuan-Tien","year":"2007","unstructured":"Hsuan-Tien Lin , Chih-Jen Lin , and Ruby C Weng . 2007. A note on Platt's probabilistic outputs for support vector machines. Machine learning , Vol. 68 , 3 ( 2007 ), 267--276. Hsuan-Tien Lin, Chih-Jen Lin, and Ruby C Weng. 2007. A note on Platt's probabilistic outputs for support vector machines. Machine learning, Vol. 68, 3 (2007), 267--276."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3119334"},{"key":"e_1_3_2_2_29_1","volume-title":"Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter . 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 ( 2017 ). Ilya Loshchilov and Frank Hutter. 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87481-2_4"},{"key":"e_1_3_2_2_31_1","volume-title":"Analyzing a portion of the ROC curve. Medical decision making","author":"McClish Donna Katzman","year":"1989","unstructured":"Donna Katzman McClish . 1989. Analyzing a portion of the ROC curve. Medical decision making , Vol. 9 , 3 ( 1989 ), 190--195. Donna Katzman McClish. 1989. Analyzing a portion of the ROC curve. Medical decision making, Vol. 9, 3 (1989), 190--195."},{"key":"e_1_3_2_2_32_1","unstructured":"Meta. 2023. Facebook Ad Targeting. https:\/\/www.facebook.com\/business\/ads\/ad-targeting  Meta. 2023. Facebook Ad Targeting. https:\/\/www.facebook.com\/business\/ads\/ad-targeting"},{"key":"e_1_3_2_2_33_1","volume-title":"Fast label embeddings for extremely large output spaces. arXiv preprint arXiv:1503.08873","author":"Mineiro Paul","year":"2015","unstructured":"Paul Mineiro and Nikos Karampatziakis . 2015. Fast label embeddings for extremely large output spaces. arXiv preprint arXiv:1503.08873 ( 2015 ). Paul Mineiro and Nikos Karampatziakis. 2015. Fast label embeddings for extremely large output spaces. arXiv preprint arXiv:1503.08873 (2015)."},{"key":"e_1_3_2_2_34_1","unstructured":"Alexandru Niculescu-Mizil and Ehsan Abbasnejad. 2017. Label filters for large scale multilabel classification. In Artificial intelligence and statistics. PMLR 1448--1457.  Alexandru Niculescu-Mizil and Ehsan Abbasnejad. 2017. Label filters for large scale multilabel classification. In Artificial intelligence and statistics. PMLR 1448--1457."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330759"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330783"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186040"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159660"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185998"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623651"},{"key":"e_1_3_2_2_41_1","volume-title":"Large-scale bayesian multi-label learning via topic-based label embeddings. Advances in neural information processing systems","author":"Rai Piyush","year":"2015","unstructured":"Piyush Rai , Changwei Hu , Ricardo Henao , and Lawrence Carin . 2015. Large-scale bayesian multi-label learning via topic-based label embeddings. Advances in neural information processing systems , Vol. 28 ( 2015 ). Piyush Rai, Changwei Hu, Ricardo Henao, and Lawrence Carin. 2015. Large-scale bayesian multi-label learning via topic-based label embeddings. Advances in neural information processing systems, Vol. 28 (2015)."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005336"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/11526346_2"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1027527.1027678"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/1180639.1180727"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357925"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449930"},{"key":"e_1_3_2_2_49_1","volume-title":"LNEMLC: Label network embeddings for multi-label classification. arXiv preprint arXiv:1812.02956","author":"Szyma\u0144ski Piotr","year":"2018","unstructured":"Piotr Szyma\u0144ski , Tomasz Kajdanowicz , and Nitesh Chawla . 2018 . LNEMLC: Label network embeddings for multi-label classification. arXiv preprint arXiv:1812.02956 (2018). Piotr Szyma\u0144ski, Tomasz Kajdanowicz, and Nitesh Chawla. 2018. LNEMLC: Label network embeddings for multi-label classification. arXiv preprint arXiv:1812.02956 (2018)."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097987"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-018-0595-5"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939798"},{"key":"e_1_3_2_2_53_1","unstructured":"Yahoo. 2023. Yahoo Ad Targeting. https:\/\/www.advertising.yahooinc.com\/our-dsp\/target  Yahoo. 2023. Yahoo Ad Targeting. https:\/\/www.advertising.yahooinc.com\/our-dsp\/target"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539189"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098083"},{"key":"e_1_3_2_2_56_1","volume-title":"International conference on machine learning. PMLR, 3069--3077","author":"En-Hsu Yen Ian","year":"2016","unstructured":"Ian En-Hsu Yen , Xiangru Huang , Pradeep Ravikumar , Kai Zhong , and Inderjit Dhillon . 2016 . Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification . In International conference on machine learning. PMLR, 3069--3077 . Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, and Inderjit Dhillon. 2016. Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification. In International conference on machine learning. PMLR, 3069--3077."},{"key":"e_1_3_2_2_57_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"You Ronghui","year":"2019","unstructured":"Ronghui You , Zihan Zhang , Ziye Wang , Suyang Dai , Hiroshi Mamitsuka , and Shanfeng Zhu . 2019 . Attentionxml: Label tree-based attention-aware deep model for high-performance extreme multi-label text classification . Advances in Neural Information Processing Systems , Vol. 32 (2019). Ronghui You, Zihan Zhang, Ziye Wang, Suyang Dai, Hiroshi Mamitsuka, and Shanfeng Zhu. 2019. Attentionxml: Label tree-based attention-aware deep model for high-performance extreme multi-label text classification. Advances in Neural Information Processing Systems, Vol. 32 (2019)."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3542629"},{"key":"e_1_3_2_2_59_1","first-page":"7267","article-title":"Fast multi-resolution transformer fine-tuning for extreme multi-label text classification","volume":"34","author":"Zhang Jiong","year":"2021","unstructured":"Jiong Zhang , Wei-Cheng Chang , Hsiang-Fu Yu , and Inderjit Dhillon . 2021 . Fast multi-resolution transformer fine-tuning for extreme multi-label text classification . Advances in Neural Information Processing Systems , Vol. 34 (2021), 7267 -- 7280 . Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, and Inderjit Dhillon. 2021. Fast multi-resolution transformer fine-tuning for extreme multi-label text classification. Advances in Neural Information Processing Systems, Vol. 34 (2021), 7267--7280.","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Long Beach CA USA","acronym":"KDD '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599822","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3580305.3599822","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:23Z","timestamp":1750182563000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599822"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,4]]},"references-count":59,"alternative-id":["10.1145\/3580305.3599822","10.1145\/3580305"],"URL":"https:\/\/doi.org\/10.1145\/3580305.3599822","relation":{},"subject":[],"published":{"date-parts":[[2023,8,4]]},"assertion":[{"value":"2023-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}