{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T15:53:31Z","timestamp":1774626811515,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"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":[[2024,10,8]]},"DOI":"10.1145\/3640457.3688048","type":"proceedings-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T15:39:28Z","timestamp":1728401968000},"page":"809-812","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3380-7992","authenticated-orcid":false,"given":"Timo","family":"Wilm","sequence":"first","affiliation":[{"name":"OTTO (GmbH &amp; Co KG), Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5796-2992","authenticated-orcid":false,"given":"Philipp","family":"Normann","sequence":"additional","affiliation":[{"name":"OTTO (GmbH &amp; Co KG), Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1484-2193","authenticated-orcid":false,"given":"Felix","family":"Stepprath","sequence":"additional","affiliation":[{"name":"OTTO (GmbH &amp; Co KG), Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-019-09256-1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2798723"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474255"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2041667"},{"key":"e_1_3_2_1_5_1","unstructured":"DIGINETICA. 2016. CIKM Cup 2016 Track 2: Personalized E-Commerce Search Challenge. https:\/\/competitions.codalab.org\/competitions\/11161"},{"key":"e_1_3_2_1_6_1","volume-title":"You Only Train Once: Loss-Conditional Training of Deep Networks. In International Conference on Learning Representations. https:\/\/api.semanticscholar.org\/CorpusID:214278158","author":"Dosovitskiy Alexey","year":"2020","unstructured":"Alexey Dosovitskiy and Josip Djolonga. 2020. You Only Train Once: Loss-Conditional Training of Deep Networks. In International Conference on Learning Representations. https:\/\/api.semanticscholar.org\/CorpusID:214278158"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498487"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3453474"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_10_1","volume-title":"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 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1511.06939"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25953"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","unstructured":"Jipeng Jin Zhaoxiang Zhang Zhiheng Li Xiaofeng Gao Xiongwen Yang Lei Xiao and Jie Jiang. 2023. Pareto-based Multi-Objective Recommender System with Forgetting Curve. https:\/\/doi.org\/10.48550\/ARXIV.2312.16868 Version Number: 2.","DOI":"10.48550\/ARXIV.2312.16868"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403226"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608796"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346998"},{"key":"e_1_3_2_1_18_1","volume-title":"Pareto Multi-Task Learning. In Thirty-third Conference on Neural Information Processing Systems (NeurIPS). 12037\u201312047","author":"Lin Xi","year":"2019","unstructured":"Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, and Sam Kwong. 2019. Pareto Multi-Task Learning. In Thirty-third Conference on Neural Information Processing Systems (NeurIPS). 12037\u201312047."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0119)","author":"Mahapatra Debabrata","year":"2020","unstructured":"Debabrata Mahapatra and Vaibhav Rajan. 2020. Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization. In Proceedings of the 37th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0119), Hal\u00a0Daum\u00e9 III and Aarti Singh (Eds.). PMLR, 6597\u20136607. https:\/\/proceedings.mlr.press\/v119\/mahapatra20a.html"},{"key":"e_1_3_2_1_20_1","unstructured":"Nikola Milojkovic Diego Antognini Giancarlo Bergamin Boi Faltings and Claudiu Musat. 2020. Multi-Gradient Descent for Multi-Objective Recommender Systems. http:\/\/arxiv.org\/abs\/2001.00846 arXiv:2001.00846 [cs stat]."},{"key":"e_1_3_2_1_21_1","volume-title":"Learning the Pareto Front with Hypernetworks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=NjF772F4ZZR","author":"Navon Aviv","year":"2021","unstructured":"Aviv Navon, Aviv Shamsian, Gal Chechik, and Ethan Fetaya. 2021. Learning the Pareto Front with Hypernetworks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=NjF772F4ZZR"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","unstructured":"Philipp Normann Sophie Baumeister and Timo Wilm. 2023. OTTO Recommender Systems Dataset. https:\/\/doi.org\/10.34740\/KAGGLE\/DSV\/4991874","DOI":"10.34740\/KAGGLE"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365961"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00162"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.10.029"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610236"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3564285"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","unstructured":"Jiancan Wu Xiang Wang Xingyu Gao Jiawei Chen Hongcheng Fu Tianyu Qiu and Xiangnan He. 2022. On the Effectiveness of Sampled Softmax Loss for Item Recommendation. (2022). https:\/\/doi.org\/10.48550\/ARXIV.2201.02327","DOI":"10.48550\/ARXIV.2201.02327"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450039"}],"event":{"name":"RecSys '24: 18th ACM Conference on Recommender Systems","location":"Bari Italy","acronym":"RecSys '24","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"]},"container-title":["18th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688048","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3640457.3688048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:29Z","timestamp":1750294709000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688048"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":29,"alternative-id":["10.1145\/3640457.3688048","10.1145\/3640457"],"URL":"https:\/\/doi.org\/10.1145\/3640457.3688048","relation":{},"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"2024-10-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}