{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:10:43Z","timestamp":1757617843143,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3705328.3759328","type":"proceedings-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:48:44Z","timestamp":1757155724000},"page":"1217-1221","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4087-721X","authenticated-orcid":false,"given":"Viacheslav","family":"Yusupov","sequence":"first","affiliation":[{"name":"HSE University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7606-7322","authenticated-orcid":false,"given":"Maxim","family":"Rakhuba","sequence":"additional","affiliation":[{"name":"HSE University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3679-5311","authenticated-orcid":false,"given":"Evgeny","family":"Frolov","sequence":"additional","affiliation":[{"name":"AIRI, Moscow, Russian Federation and HSE University, Moscow, Russian Federation"}]}],"member":"320","published-online":{"date-parts":[[2025,9,7]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Pegah\u00a0Malekpour Alamdari Nima\u00a0Jafari Navimipour Mehdi Hosseinzadeh Ali\u00a0Asghar Safaei and Aso Darwesh. 2020. A systematic study on the recommender systems in the E-commerce. Ieee Access 8 (2020) 115694\u2013115716.","DOI":"10.1109\/ACCESS.2020.3002803"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Anitha Anandhan Liyana Shuib Maizatul\u00a0Akmar Ismail and Ghulam Mujtaba. 2018. Social media recommender systems: review and open research issues. IEEe Access 6 (2018) 15608\u201315628.","DOI":"10.1109\/ACCESS.2018.2810062"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1522"},{"key":"e_1_3_3_2_5_2","unstructured":"Benjamin\u00a0Paul Chamberlain Stephen\u00a0R Hardwick David\u00a0R Wardrope Fabon Dzogang Fabio Daolio and Sa\u00fal Vargas. 2019. Scalable hyperbolic recommender systems. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1902.08648 (2019)."},{"key":"e_1_3_3_2_6_2","unstructured":"Wentao Cheng Zhida Qin Zexue Wu Pengzhan Zhou and Tianyu Huang. 2025. Large Language Models Enhanced Hyperbolic Space Recommender Systems. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.05694 (2025)."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688180"},{"key":"e_1_3_3_2_8_2","unstructured":"Naicheng Guo Xiaolei Liu Shaoshuai Li Mingming Ha Qiongxu Ma Binfeng Wang Yunan Zhao Linxun Chen and Xiaobo Guo. 2023. Hyperbolic contrastive graph representation learning for session-based recommendation. IEEE Transactions on Knowledge and Data Engineering (2023)."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"F\u00a0Maxwell Harper and Joseph\u00a0A Konstan. 2015. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5 4 (2015) 1\u201319.","DOI":"10.1145\/2827872"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052639"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_3_2_15_2","unstructured":"Diederik\u00a0P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2014). https:\/\/api.semanticscholar.org\/CorpusID:6628106"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Anastasiia Klimashevskaia Dietmar Jannach Mehdi Elahi and Christoph Trattner. 2024. A survey on popularity bias in recommender systems. User Modeling and User-Adapted Interaction 34 5 (2024) 1777\u20131834.","DOI":"10.1007\/s11257-024-09406-0"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1740\/1\/012050"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Dmitri Krioukov Fragkiskos Papadopoulos Maksim Kitsak Amin Vahdat and Mari\u00e1n Bogun\u00e1. 2010. Hyperbolic geometry of complex networks. Physical Review E 82 3 (2010) 036106.","DOI":"10.1103\/PhysRevE.82.036106"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Anchen Li Bo Yang Huan Huo Hongxu Chen Guandong Xu and Zhen Wang. 2022. Hyperbolic neural collaborative recommender. IEEE Transactions on Knowledge and Data Engineering 35 9 (2022) 9114\u20139127.","DOI":"10.1109\/TKDE.2022.3221386"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5894"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350953"},{"key":"e_1_3_3_2_22_2","unstructured":"Qi Liu Maximilian Nickel and Douwe Kiela. 2019. Hyperbolic graph neural networks. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3418479"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412219"},{"key":"e_1_3_3_2_25_2","unstructured":"Maximillian Nickel and Douwe Kiela. 2017. Poincar\u00e9 embeddings for learning hierarchical representations. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_3_2_26_2","first-page":"3779","volume-title":"International conference on machine learning","author":"Nickel Maximillian","year":"2018","unstructured":"Maximillian Nickel and Douwe Kiela. 2018. Learning continuous hierarchies in the lorentz model of hyperbolic geometry. In International conference on machine learning. PMLR, 3779\u20133788."},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Wei Peng Tuomas Varanka Abdelrahman Mostafa Henglin Shi and Guoying Zhao. 2021. Hyperbolic deep neural networks: A survey. IEEE Transactions on pattern analysis and machine intelligence 44 12 (2021) 10023\u201310044.","DOI":"10.1109\/TPAMI.2021.3136921"},{"key":"e_1_3_3_2_28_2","unstructured":"Steffen Rendle Christoph Freudenthaler Zeno Gantner and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1205.2618 (2012)."},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3548486"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608827"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043957"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450101"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371850"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6119"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Feng Xue Xiangnan He Xiang Wang Jiandong Xu Kai Liu and Richang Hong. 2019. Deep item-based collaborative filtering for top-n recommendation. ACM Transactions on Information Systems (TOIS) 37 3 (2019) 1\u201325.","DOI":"10.1145\/3314578"},{"key":"e_1_3_3_2_37_2","unstructured":"Viacheslav Yusupov Maxim Rakhuba and Evgeny Frolov. 2025. Knowledge Graph Completion with Mixed Geometry Tensor Factorization. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.02589 (2025)."},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00126-0_14"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191482"}],"event":{"name":"RecSys '25: Nineteenth ACM Conference on Recommender Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGIR ACM Special Interest Group on Information Retrieval","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Prague Czech Republic","acronym":"RecSys '25"},"container-title":["Proceedings of the Nineteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3705328.3759328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:45:50Z","timestamp":1757159150000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3705328.3759328"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,7]]},"references-count":38,"alternative-id":["10.1145\/3705328.3759328","10.1145\/3705328"],"URL":"https:\/\/doi.org\/10.1145\/3705328.3759328","relation":{},"subject":[],"published":{"date-parts":[[2025,9,7]]},"assertion":[{"value":"2025-09-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}